Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +38 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +5 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +20 -0
- tokenizer_config.json +44 -0
- trainer_state.json +1421 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: gabrielmbmb/Upcycled-Qwen1.5-MoE2.7B
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.10.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "gabrielmbmb/Upcycled-Qwen1.5-MoE2.7B",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 64,
|
| 14 |
+
"lora_dropout": 0.0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": [
|
| 18 |
+
"lm_head"
|
| 19 |
+
],
|
| 20 |
+
"peft_type": "LORA",
|
| 21 |
+
"r": 32,
|
| 22 |
+
"rank_pattern": {},
|
| 23 |
+
"revision": null,
|
| 24 |
+
"target_modules": [
|
| 25 |
+
"up_proj",
|
| 26 |
+
"o_proj",
|
| 27 |
+
"k_proj",
|
| 28 |
+
"gate",
|
| 29 |
+
"q_proj",
|
| 30 |
+
"shared_expert_gate",
|
| 31 |
+
"v_proj",
|
| 32 |
+
"down_proj",
|
| 33 |
+
"gate_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": "CAUSAL_LM",
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc74711cb80cd2f368730278bbc66f0dccae7ceec53b0d92abd237ef174689b4
|
| 3 |
+
size 3272016504
|
added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 151643,
|
| 3 |
+
"<|im_end|>": 151645,
|
| 4 |
+
"<|im_start|>": 151644
|
| 5 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c3e2166b49ce624fd811acb845fe3ff104a3739f4ab1201738da82b0c9e3f6fe
|
| 3 |
+
size 6549209908
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:386fcc8cc1089aade9450d86fb239ea3483f455fd2d78d8378645feecfec9d69
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:53ee4688496b0162130b060f83f318885b4d612c5e7e4e82a0bb98689df63eb3
|
| 3 |
+
size 1064
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>"
|
| 5 |
+
],
|
| 6 |
+
"eos_token": {
|
| 7 |
+
"content": "<|endoftext|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false
|
| 12 |
+
},
|
| 13 |
+
"pad_token": {
|
| 14 |
+
"content": "<|endoftext|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false
|
| 19 |
+
}
|
| 20 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
"additional_special_tokens": [
|
| 30 |
+
"<|im_start|>",
|
| 31 |
+
"<|im_end|>"
|
| 32 |
+
],
|
| 33 |
+
"bos_token": null,
|
| 34 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ content }}{% elif message['role'] == 'assistant' %}{{ content + '\\n' }}{% endif %}{% endfor %}",
|
| 35 |
+
"clean_up_tokenization_spaces": false,
|
| 36 |
+
"eos_token": "<|endoftext|>",
|
| 37 |
+
"errors": "replace",
|
| 38 |
+
"model_max_length": 32768,
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"padding_side": "right",
|
| 41 |
+
"split_special_tokens": false,
|
| 42 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 43 |
+
"unk_token": null
|
| 44 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1421 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.6666666666666666,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 2000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"grad_norm": 1.2757867574691772,
|
| 14 |
+
"learning_rate": 0.000499986292341378,
|
| 15 |
+
"loss": 5.9015,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.01,
|
| 20 |
+
"grad_norm": 0.7096672654151917,
|
| 21 |
+
"learning_rate": 0.0004999451708687113,
|
| 22 |
+
"loss": 3.9877,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.01,
|
| 27 |
+
"grad_norm": 0.6350783109664917,
|
| 28 |
+
"learning_rate": 0.0004998766400914329,
|
| 29 |
+
"loss": 3.7232,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.01,
|
| 34 |
+
"grad_norm": 0.5088619589805603,
|
| 35 |
+
"learning_rate": 0.0004997807075247146,
|
| 36 |
+
"loss": 3.552,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.02,
|
| 41 |
+
"grad_norm": 0.4739762842655182,
|
| 42 |
+
"learning_rate": 0.0004996573836886434,
|
| 43 |
+
"loss": 3.5127,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.02,
|
| 48 |
+
"grad_norm": 0.628942608833313,
|
| 49 |
+
"learning_rate": 0.0004995066821070679,
|
| 50 |
+
"loss": 3.3798,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.02,
|
| 55 |
+
"grad_norm": 0.5002753138542175,
|
| 56 |
+
"learning_rate": 0.0004993286193061145,
|
| 57 |
+
"loss": 3.3999,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.03,
|
| 62 |
+
"grad_norm": 0.4983285963535309,
|
| 63 |
+
"learning_rate": 0.0004991232148123761,
|
| 64 |
+
"loss": 3.3398,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.03,
|
| 69 |
+
"grad_norm": 0.4371359050273895,
|
| 70 |
+
"learning_rate": 0.00049889049115077,
|
| 71 |
+
"loss": 3.3405,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.03,
|
| 76 |
+
"grad_norm": 0.5125981569290161,
|
| 77 |
+
"learning_rate": 0.0004986304738420684,
|
| 78 |
+
"loss": 3.3053,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.04,
|
| 83 |
+
"grad_norm": 0.47835057973861694,
|
| 84 |
+
"learning_rate": 0.000498343191400099,
|
| 85 |
+
"loss": 3.2388,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.04,
|
| 90 |
+
"grad_norm": 0.4769553244113922,
|
| 91 |
+
"learning_rate": 0.0004980286753286195,
|
| 92 |
+
"loss": 3.2004,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.04,
|
| 97 |
+
"grad_norm": 0.44102832674980164,
|
| 98 |
+
"learning_rate": 0.0004976869601178609,
|
| 99 |
+
"loss": 3.2301,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.05,
|
| 104 |
+
"grad_norm": 0.44598281383514404,
|
| 105 |
+
"learning_rate": 0.0004973180832407472,
|
| 106 |
+
"loss": 3.2284,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.05,
|
| 111 |
+
"grad_norm": 0.5305857062339783,
|
| 112 |
+
"learning_rate": 0.0004969220851487844,
|
| 113 |
+
"loss": 3.1978,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.05,
|
| 118 |
+
"grad_norm": 0.5015985369682312,
|
| 119 |
+
"learning_rate": 0.0004964990092676262,
|
| 120 |
+
"loss": 3.198,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.06,
|
| 125 |
+
"grad_norm": 0.49595481157302856,
|
| 126 |
+
"learning_rate": 0.0004960489019923105,
|
| 127 |
+
"loss": 3.2582,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.06,
|
| 132 |
+
"grad_norm": 0.4686504602432251,
|
| 133 |
+
"learning_rate": 0.0004955718126821722,
|
| 134 |
+
"loss": 3.1974,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.06,
|
| 139 |
+
"grad_norm": 0.4878421425819397,
|
| 140 |
+
"learning_rate": 0.0004950677936554305,
|
| 141 |
+
"loss": 3.1467,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.07,
|
| 146 |
+
"grad_norm": 0.476806640625,
|
| 147 |
+
"learning_rate": 0.0004945369001834514,
|
| 148 |
+
"loss": 3.1321,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.07,
|
| 153 |
+
"grad_norm": 0.5151681900024414,
|
| 154 |
+
"learning_rate": 0.0004939791904846869,
|
| 155 |
+
"loss": 3.1478,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.07,
|
| 160 |
+
"grad_norm": 0.4726090133190155,
|
| 161 |
+
"learning_rate": 0.0004933947257182901,
|
| 162 |
+
"loss": 3.1757,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.08,
|
| 167 |
+
"grad_norm": 0.4868369698524475,
|
| 168 |
+
"learning_rate": 0.000492783569977409,
|
| 169 |
+
"loss": 3.1573,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.08,
|
| 174 |
+
"grad_norm": 0.4568879306316376,
|
| 175 |
+
"learning_rate": 0.0004921457902821578,
|
| 176 |
+
"loss": 3.2129,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.08,
|
| 181 |
+
"grad_norm": 0.45109352469444275,
|
| 182 |
+
"learning_rate": 0.0004914814565722671,
|
| 183 |
+
"loss": 3.1417,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.09,
|
| 188 |
+
"grad_norm": 0.5096346139907837,
|
| 189 |
+
"learning_rate": 0.0004907906416994146,
|
| 190 |
+
"loss": 3.1397,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.09,
|
| 195 |
+
"grad_norm": 0.44307172298431396,
|
| 196 |
+
"learning_rate": 0.0004900734214192358,
|
| 197 |
+
"loss": 3.1851,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.09,
|
| 202 |
+
"grad_norm": 0.469777375459671,
|
| 203 |
+
"learning_rate": 0.0004893298743830168,
|
| 204 |
+
"loss": 3.1117,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.1,
|
| 209 |
+
"grad_norm": 0.4518013596534729,
|
| 210 |
+
"learning_rate": 0.0004885600821290692,
|
| 211 |
+
"loss": 3.0941,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.1,
|
| 216 |
+
"grad_norm": 0.4657439589500427,
|
| 217 |
+
"learning_rate": 0.0004877641290737884,
|
| 218 |
+
"loss": 3.1936,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.1,
|
| 223 |
+
"grad_norm": 0.4461677372455597,
|
| 224 |
+
"learning_rate": 0.00048694210250239646,
|
| 225 |
+
"loss": 3.1158,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.11,
|
| 230 |
+
"grad_norm": 0.454722136259079,
|
| 231 |
+
"learning_rate": 0.0004860940925593703,
|
| 232 |
+
"loss": 3.0921,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.11,
|
| 237 |
+
"grad_norm": 0.4858105480670929,
|
| 238 |
+
"learning_rate": 0.0004852201922385564,
|
| 239 |
+
"loss": 3.1601,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.11,
|
| 244 |
+
"grad_norm": 0.4848730266094208,
|
| 245 |
+
"learning_rate": 0.0004843204973729729,
|
| 246 |
+
"loss": 3.1165,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.12,
|
| 251 |
+
"grad_norm": 0.5170342922210693,
|
| 252 |
+
"learning_rate": 0.00048339510662430044,
|
| 253 |
+
"loss": 3.0897,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.12,
|
| 258 |
+
"grad_norm": 0.4945329427719116,
|
| 259 |
+
"learning_rate": 0.00048244412147206283,
|
| 260 |
+
"loss": 3.0792,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.12,
|
| 265 |
+
"grad_norm": 0.4752379357814789,
|
| 266 |
+
"learning_rate": 0.0004814676462024987,
|
| 267 |
+
"loss": 3.035,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.13,
|
| 272 |
+
"grad_norm": 0.4935299754142761,
|
| 273 |
+
"learning_rate": 0.00048046578789712516,
|
| 274 |
+
"loss": 3.1129,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.13,
|
| 279 |
+
"grad_norm": 0.47018569707870483,
|
| 280 |
+
"learning_rate": 0.00047943865642099525,
|
| 281 |
+
"loss": 3.1255,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.13,
|
| 286 |
+
"grad_norm": 0.45771998167037964,
|
| 287 |
+
"learning_rate": 0.0004783863644106502,
|
| 288 |
+
"loss": 3.0546,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.14,
|
| 293 |
+
"grad_norm": 0.4871847927570343,
|
| 294 |
+
"learning_rate": 0.00047730902726176715,
|
| 295 |
+
"loss": 3.1176,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.14,
|
| 300 |
+
"grad_norm": 0.5023790001869202,
|
| 301 |
+
"learning_rate": 0.0004762067631165049,
|
| 302 |
+
"loss": 3.1396,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.14,
|
| 307 |
+
"grad_norm": 0.5331537127494812,
|
| 308 |
+
"learning_rate": 0.0004750796928505484,
|
| 309 |
+
"loss": 3.0541,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.15,
|
| 314 |
+
"grad_norm": 0.46206673979759216,
|
| 315 |
+
"learning_rate": 0.0004739279400598532,
|
| 316 |
+
"loss": 3.1429,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.15,
|
| 321 |
+
"grad_norm": 0.5062265992164612,
|
| 322 |
+
"learning_rate": 0.00047275163104709196,
|
| 323 |
+
"loss": 3.0668,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.15,
|
| 328 |
+
"grad_norm": 0.7376482486724854,
|
| 329 |
+
"learning_rate": 0.00047155089480780364,
|
| 330 |
+
"loss": 3.1377,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.16,
|
| 335 |
+
"grad_norm": 0.5349658727645874,
|
| 336 |
+
"learning_rate": 0.00047032586301624804,
|
| 337 |
+
"loss": 3.0838,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.16,
|
| 342 |
+
"grad_norm": 0.49428579211235046,
|
| 343 |
+
"learning_rate": 0.0004690766700109659,
|
| 344 |
+
"loss": 3.1257,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.16,
|
| 349 |
+
"grad_norm": 0.4835917353630066,
|
| 350 |
+
"learning_rate": 0.0004678034527800474,
|
| 351 |
+
"loss": 3.0709,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.17,
|
| 356 |
+
"grad_norm": 0.5094427466392517,
|
| 357 |
+
"learning_rate": 0.00046650635094610973,
|
| 358 |
+
"loss": 3.0692,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.17,
|
| 363 |
+
"grad_norm": 0.5574087500572205,
|
| 364 |
+
"learning_rate": 0.0004651855067509859,
|
| 365 |
+
"loss": 3.0667,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.17,
|
| 370 |
+
"grad_norm": 0.5003999471664429,
|
| 371 |
+
"learning_rate": 0.0004638410650401267,
|
| 372 |
+
"loss": 3.0311,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.18,
|
| 377 |
+
"grad_norm": 0.5170697569847107,
|
| 378 |
+
"learning_rate": 0.000462473173246716,
|
| 379 |
+
"loss": 3.1082,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.18,
|
| 384 |
+
"grad_norm": 0.5004311800003052,
|
| 385 |
+
"learning_rate": 0.00046108198137550377,
|
| 386 |
+
"loss": 3.0825,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.18,
|
| 391 |
+
"grad_norm": 0.49480965733528137,
|
| 392 |
+
"learning_rate": 0.00045966764198635603,
|
| 393 |
+
"loss": 3.0888,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.19,
|
| 398 |
+
"grad_norm": 0.49261385202407837,
|
| 399 |
+
"learning_rate": 0.00045823031017752484,
|
| 400 |
+
"loss": 3.1568,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.19,
|
| 405 |
+
"grad_norm": 0.4577986001968384,
|
| 406 |
+
"learning_rate": 0.00045677014356864043,
|
| 407 |
+
"loss": 3.0953,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.19,
|
| 412 |
+
"grad_norm": 0.4814681112766266,
|
| 413 |
+
"learning_rate": 0.000455287302283426,
|
| 414 |
+
"loss": 3.0801,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.2,
|
| 419 |
+
"grad_norm": 0.563042402267456,
|
| 420 |
+
"learning_rate": 0.00045378194893213854,
|
| 421 |
+
"loss": 3.0719,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.2,
|
| 426 |
+
"grad_norm": 0.5507716536521912,
|
| 427 |
+
"learning_rate": 0.0004522542485937369,
|
| 428 |
+
"loss": 3.0724,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.2,
|
| 433 |
+
"grad_norm": 0.5448073148727417,
|
| 434 |
+
"learning_rate": 0.0004507043687977787,
|
| 435 |
+
"loss": 3.0294,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.21,
|
| 440 |
+
"grad_norm": 0.47773197293281555,
|
| 441 |
+
"learning_rate": 0.00044913247950604905,
|
| 442 |
+
"loss": 3.0682,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.21,
|
| 447 |
+
"grad_norm": 0.4662880301475525,
|
| 448 |
+
"learning_rate": 0.0004475387530939226,
|
| 449 |
+
"loss": 3.0106,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.21,
|
| 454 |
+
"grad_norm": 0.4735540747642517,
|
| 455 |
+
"learning_rate": 0.00044592336433145995,
|
| 456 |
+
"loss": 3.1345,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.22,
|
| 461 |
+
"grad_norm": 0.4746765196323395,
|
| 462 |
+
"learning_rate": 0.0004442864903642427,
|
| 463 |
+
"loss": 3.0772,
|
| 464 |
+
"step": 650
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.22,
|
| 468 |
+
"grad_norm": 0.45668378472328186,
|
| 469 |
+
"learning_rate": 0.0004426283106939473,
|
| 470 |
+
"loss": 3.1174,
|
| 471 |
+
"step": 660
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.22,
|
| 475 |
+
"grad_norm": 0.4704893231391907,
|
| 476 |
+
"learning_rate": 0.0004409490071586606,
|
| 477 |
+
"loss": 3.0816,
|
| 478 |
+
"step": 670
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.23,
|
| 482 |
+
"grad_norm": 0.5290801525115967,
|
| 483 |
+
"learning_rate": 0.0004392487639129391,
|
| 484 |
+
"loss": 3.1089,
|
| 485 |
+
"step": 680
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.23,
|
| 489 |
+
"grad_norm": 0.47564446926116943,
|
| 490 |
+
"learning_rate": 0.0004375277674076149,
|
| 491 |
+
"loss": 3.082,
|
| 492 |
+
"step": 690
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.23,
|
| 496 |
+
"grad_norm": 0.4995107352733612,
|
| 497 |
+
"learning_rate": 0.00043578620636934855,
|
| 498 |
+
"loss": 3.1992,
|
| 499 |
+
"step": 700
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.24,
|
| 503 |
+
"grad_norm": 0.48856520652770996,
|
| 504 |
+
"learning_rate": 0.00043402427177993366,
|
| 505 |
+
"loss": 3.0598,
|
| 506 |
+
"step": 710
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.24,
|
| 510 |
+
"grad_norm": 0.4874037802219391,
|
| 511 |
+
"learning_rate": 0.00043224215685535287,
|
| 512 |
+
"loss": 3.0753,
|
| 513 |
+
"step": 720
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.24,
|
| 517 |
+
"grad_norm": 0.45193690061569214,
|
| 518 |
+
"learning_rate": 0.00043044005702459054,
|
| 519 |
+
"loss": 2.9601,
|
| 520 |
+
"step": 730
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.25,
|
| 524 |
+
"grad_norm": 0.46975770592689514,
|
| 525 |
+
"learning_rate": 0.00042861816990820087,
|
| 526 |
+
"loss": 3.0511,
|
| 527 |
+
"step": 740
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.25,
|
| 531 |
+
"grad_norm": 0.5442278981208801,
|
| 532 |
+
"learning_rate": 0.00042677669529663686,
|
| 533 |
+
"loss": 3.0898,
|
| 534 |
+
"step": 750
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.25,
|
| 538 |
+
"grad_norm": 0.5437372922897339,
|
| 539 |
+
"learning_rate": 0.00042491583512834137,
|
| 540 |
+
"loss": 3.0768,
|
| 541 |
+
"step": 760
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.26,
|
| 545 |
+
"grad_norm": 0.4911404848098755,
|
| 546 |
+
"learning_rate": 0.0004230357934676017,
|
| 547 |
+
"loss": 3.1239,
|
| 548 |
+
"step": 770
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.26,
|
| 552 |
+
"grad_norm": 0.4861234128475189,
|
| 553 |
+
"learning_rate": 0.0004211367764821722,
|
| 554 |
+
"loss": 3.0473,
|
| 555 |
+
"step": 780
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.26,
|
| 559 |
+
"grad_norm": 0.49302661418914795,
|
| 560 |
+
"learning_rate": 0.0004192189924206652,
|
| 561 |
+
"loss": 3.0874,
|
| 562 |
+
"step": 790
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.27,
|
| 566 |
+
"grad_norm": 0.4864264726638794,
|
| 567 |
+
"learning_rate": 0.0004172826515897146,
|
| 568 |
+
"loss": 3.0753,
|
| 569 |
+
"step": 800
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.27,
|
| 573 |
+
"grad_norm": 0.48708102107048035,
|
| 574 |
+
"learning_rate": 0.00041532796633091297,
|
| 575 |
+
"loss": 3.1403,
|
| 576 |
+
"step": 810
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.27,
|
| 580 |
+
"grad_norm": 0.5046274662017822,
|
| 581 |
+
"learning_rate": 0.0004133551509975264,
|
| 582 |
+
"loss": 3.0785,
|
| 583 |
+
"step": 820
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.28,
|
| 587 |
+
"grad_norm": 0.5404755473136902,
|
| 588 |
+
"learning_rate": 0.00041136442193098765,
|
| 589 |
+
"loss": 3.0104,
|
| 590 |
+
"step": 830
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.28,
|
| 594 |
+
"grad_norm": 0.5012314915657043,
|
| 595 |
+
"learning_rate": 0.00040935599743717243,
|
| 596 |
+
"loss": 3.0538,
|
| 597 |
+
"step": 840
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.28,
|
| 601 |
+
"grad_norm": 0.5044212937355042,
|
| 602 |
+
"learning_rate": 0.0004073300977624594,
|
| 603 |
+
"loss": 3.0975,
|
| 604 |
+
"step": 850
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.29,
|
| 608 |
+
"grad_norm": 0.5059216618537903,
|
| 609 |
+
"learning_rate": 0.0004052869450695776,
|
| 610 |
+
"loss": 3.1057,
|
| 611 |
+
"step": 860
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.29,
|
| 615 |
+
"grad_norm": 0.4804486930370331,
|
| 616 |
+
"learning_rate": 0.00040322676341324415,
|
| 617 |
+
"loss": 3.0492,
|
| 618 |
+
"step": 870
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.29,
|
| 622 |
+
"grad_norm": 0.5673746466636658,
|
| 623 |
+
"learning_rate": 0.00040114977871559375,
|
| 624 |
+
"loss": 2.9521,
|
| 625 |
+
"step": 880
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.3,
|
| 629 |
+
"grad_norm": 0.4696684181690216,
|
| 630 |
+
"learning_rate": 0.00039905621874140396,
|
| 631 |
+
"loss": 3.0136,
|
| 632 |
+
"step": 890
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.3,
|
| 636 |
+
"grad_norm": 0.5002209544181824,
|
| 637 |
+
"learning_rate": 0.0003969463130731183,
|
| 638 |
+
"loss": 3.0378,
|
| 639 |
+
"step": 900
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.3,
|
| 643 |
+
"grad_norm": 0.48504123091697693,
|
| 644 |
+
"learning_rate": 0.0003948202930856697,
|
| 645 |
+
"loss": 3.0458,
|
| 646 |
+
"step": 910
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.31,
|
| 650 |
+
"grad_norm": 0.48299267888069153,
|
| 651 |
+
"learning_rate": 0.000392678391921108,
|
| 652 |
+
"loss": 3.0699,
|
| 653 |
+
"step": 920
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.31,
|
| 657 |
+
"grad_norm": 0.5440784096717834,
|
| 658 |
+
"learning_rate": 0.00039052084446303264,
|
| 659 |
+
"loss": 3.044,
|
| 660 |
+
"step": 930
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.31,
|
| 664 |
+
"grad_norm": 0.498516321182251,
|
| 665 |
+
"learning_rate": 0.000388347887310836,
|
| 666 |
+
"loss": 3.0524,
|
| 667 |
+
"step": 940
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.32,
|
| 671 |
+
"grad_norm": 0.49369409680366516,
|
| 672 |
+
"learning_rate": 0.00038615975875375683,
|
| 673 |
+
"loss": 3.0511,
|
| 674 |
+
"step": 950
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.32,
|
| 678 |
+
"grad_norm": 0.5007414817810059,
|
| 679 |
+
"learning_rate": 0.00038395669874474915,
|
| 680 |
+
"loss": 3.0369,
|
| 681 |
+
"step": 960
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.32,
|
| 685 |
+
"grad_norm": 0.4814367890357971,
|
| 686 |
+
"learning_rate": 0.00038173894887416946,
|
| 687 |
+
"loss": 3.0965,
|
| 688 |
+
"step": 970
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.33,
|
| 692 |
+
"grad_norm": 0.5295039415359497,
|
| 693 |
+
"learning_rate": 0.00037950675234328256,
|
| 694 |
+
"loss": 3.0571,
|
| 695 |
+
"step": 980
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.33,
|
| 699 |
+
"grad_norm": 0.5096908211708069,
|
| 700 |
+
"learning_rate": 0.00037726035393759286,
|
| 701 |
+
"loss": 2.9924,
|
| 702 |
+
"step": 990
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.33,
|
| 706 |
+
"grad_norm": 0.49976101517677307,
|
| 707 |
+
"learning_rate": 0.000375,
|
| 708 |
+
"loss": 3.0523,
|
| 709 |
+
"step": 1000
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.34,
|
| 713 |
+
"grad_norm": 0.486150860786438,
|
| 714 |
+
"learning_rate": 0.0003727259384037852,
|
| 715 |
+
"loss": 3.0453,
|
| 716 |
+
"step": 1010
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.34,
|
| 720 |
+
"grad_norm": 0.4886365532875061,
|
| 721 |
+
"learning_rate": 0.0003704384185254288,
|
| 722 |
+
"loss": 3.0791,
|
| 723 |
+
"step": 1020
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.34,
|
| 727 |
+
"grad_norm": 0.4869343638420105,
|
| 728 |
+
"learning_rate": 0.00036813769121726354,
|
| 729 |
+
"loss": 3.0962,
|
| 730 |
+
"step": 1030
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.35,
|
| 734 |
+
"grad_norm": 0.47605258226394653,
|
| 735 |
+
"learning_rate": 0.00036582400877996547,
|
| 736 |
+
"loss": 3.087,
|
| 737 |
+
"step": 1040
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.35,
|
| 741 |
+
"grad_norm": 0.49207133054733276,
|
| 742 |
+
"learning_rate": 0.00036349762493488667,
|
| 743 |
+
"loss": 3.0406,
|
| 744 |
+
"step": 1050
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.35,
|
| 748 |
+
"grad_norm": 0.5010517835617065,
|
| 749 |
+
"learning_rate": 0.00036115879479623185,
|
| 750 |
+
"loss": 3.0638,
|
| 751 |
+
"step": 1060
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.36,
|
| 755 |
+
"grad_norm": 0.48435714840888977,
|
| 756 |
+
"learning_rate": 0.0003588077748430819,
|
| 757 |
+
"loss": 3.0325,
|
| 758 |
+
"step": 1070
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.36,
|
| 762 |
+
"grad_norm": 0.5021737813949585,
|
| 763 |
+
"learning_rate": 0.0003564448228912682,
|
| 764 |
+
"loss": 3.0115,
|
| 765 |
+
"step": 1080
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.36,
|
| 769 |
+
"grad_norm": 0.46703141927719116,
|
| 770 |
+
"learning_rate": 0.00035407019806510035,
|
| 771 |
+
"loss": 2.9539,
|
| 772 |
+
"step": 1090
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.37,
|
| 776 |
+
"grad_norm": 0.521730363368988,
|
| 777 |
+
"learning_rate": 0.0003516841607689501,
|
| 778 |
+
"loss": 3.0114,
|
| 779 |
+
"step": 1100
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.37,
|
| 783 |
+
"grad_norm": 0.4748888611793518,
|
| 784 |
+
"learning_rate": 0.00034928697265869515,
|
| 785 |
+
"loss": 3.0226,
|
| 786 |
+
"step": 1110
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.37,
|
| 790 |
+
"grad_norm": 0.4812580645084381,
|
| 791 |
+
"learning_rate": 0.00034687889661302575,
|
| 792 |
+
"loss": 3.0065,
|
| 793 |
+
"step": 1120
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.38,
|
| 797 |
+
"grad_norm": 0.5008811354637146,
|
| 798 |
+
"learning_rate": 0.00034446019670461683,
|
| 799 |
+
"loss": 3.027,
|
| 800 |
+
"step": 1130
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.38,
|
| 804 |
+
"grad_norm": 0.49032077193260193,
|
| 805 |
+
"learning_rate": 0.00034203113817116957,
|
| 806 |
+
"loss": 2.9933,
|
| 807 |
+
"step": 1140
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.38,
|
| 811 |
+
"grad_norm": 0.47988900542259216,
|
| 812 |
+
"learning_rate": 0.00033959198738632503,
|
| 813 |
+
"loss": 3.0474,
|
| 814 |
+
"step": 1150
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.39,
|
| 818 |
+
"grad_norm": 0.49220654368400574,
|
| 819 |
+
"learning_rate": 0.0003371430118304538,
|
| 820 |
+
"loss": 3.0226,
|
| 821 |
+
"step": 1160
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.39,
|
| 825 |
+
"grad_norm": 0.49873360991477966,
|
| 826 |
+
"learning_rate": 0.0003346844800613229,
|
| 827 |
+
"loss": 3.0082,
|
| 828 |
+
"step": 1170
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.39,
|
| 832 |
+
"grad_norm": 0.5125187039375305,
|
| 833 |
+
"learning_rate": 0.0003322166616846458,
|
| 834 |
+
"loss": 3.0468,
|
| 835 |
+
"step": 1180
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.4,
|
| 839 |
+
"grad_norm": 0.509082555770874,
|
| 840 |
+
"learning_rate": 0.0003297398273245175,
|
| 841 |
+
"loss": 3.1134,
|
| 842 |
+
"step": 1190
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.4,
|
| 846 |
+
"grad_norm": 0.45824429392814636,
|
| 847 |
+
"learning_rate": 0.00032725424859373687,
|
| 848 |
+
"loss": 3.0516,
|
| 849 |
+
"step": 1200
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.4,
|
| 853 |
+
"grad_norm": 0.49980753660202026,
|
| 854 |
+
"learning_rate": 0.0003247601980640217,
|
| 855 |
+
"loss": 2.9742,
|
| 856 |
+
"step": 1210
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.41,
|
| 860 |
+
"grad_norm": 0.48861539363861084,
|
| 861 |
+
"learning_rate": 0.0003222579492361179,
|
| 862 |
+
"loss": 3.004,
|
| 863 |
+
"step": 1220
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.41,
|
| 867 |
+
"grad_norm": 0.5454481840133667,
|
| 868 |
+
"learning_rate": 0.00031974777650980735,
|
| 869 |
+
"loss": 2.9608,
|
| 870 |
+
"step": 1230
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.41,
|
| 874 |
+
"grad_norm": 0.4744034707546234,
|
| 875 |
+
"learning_rate": 0.0003172299551538164,
|
| 876 |
+
"loss": 3.0384,
|
| 877 |
+
"step": 1240
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.42,
|
| 881 |
+
"grad_norm": 0.5317044854164124,
|
| 882 |
+
"learning_rate": 0.00031470476127563017,
|
| 883 |
+
"loss": 3.0209,
|
| 884 |
+
"step": 1250
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.42,
|
| 888 |
+
"grad_norm": 0.49222180247306824,
|
| 889 |
+
"learning_rate": 0.0003121724717912138,
|
| 890 |
+
"loss": 3.0135,
|
| 891 |
+
"step": 1260
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.42,
|
| 895 |
+
"grad_norm": 0.4853774309158325,
|
| 896 |
+
"learning_rate": 0.00030963336439464523,
|
| 897 |
+
"loss": 3.0235,
|
| 898 |
+
"step": 1270
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.43,
|
| 902 |
+
"grad_norm": 0.4858599603176117,
|
| 903 |
+
"learning_rate": 0.00030708771752766396,
|
| 904 |
+
"loss": 3.0256,
|
| 905 |
+
"step": 1280
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.43,
|
| 909 |
+
"grad_norm": 0.4980061948299408,
|
| 910 |
+
"learning_rate": 0.0003045358103491357,
|
| 911 |
+
"loss": 2.9718,
|
| 912 |
+
"step": 1290
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.43,
|
| 916 |
+
"grad_norm": 0.49256446957588196,
|
| 917 |
+
"learning_rate": 0.0003019779227044398,
|
| 918 |
+
"loss": 3.0288,
|
| 919 |
+
"step": 1300
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.44,
|
| 923 |
+
"grad_norm": 0.5088287591934204,
|
| 924 |
+
"learning_rate": 0.00029941433509478153,
|
| 925 |
+
"loss": 3.0268,
|
| 926 |
+
"step": 1310
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.44,
|
| 930 |
+
"grad_norm": 0.5106491446495056,
|
| 931 |
+
"learning_rate": 0.0002968453286464312,
|
| 932 |
+
"loss": 3.0032,
|
| 933 |
+
"step": 1320
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.44,
|
| 937 |
+
"grad_norm": 0.4999896287918091,
|
| 938 |
+
"learning_rate": 0.0002942711850798959,
|
| 939 |
+
"loss": 2.9407,
|
| 940 |
+
"step": 1330
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.45,
|
| 944 |
+
"grad_norm": 0.4718291163444519,
|
| 945 |
+
"learning_rate": 0.00029169218667902556,
|
| 946 |
+
"loss": 2.9313,
|
| 947 |
+
"step": 1340
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.45,
|
| 951 |
+
"grad_norm": 0.485334187746048,
|
| 952 |
+
"learning_rate": 0.00028910861626005774,
|
| 953 |
+
"loss": 2.9993,
|
| 954 |
+
"step": 1350
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.45,
|
| 958 |
+
"grad_norm": 0.47278451919555664,
|
| 959 |
+
"learning_rate": 0.00028652075714060294,
|
| 960 |
+
"loss": 3.0594,
|
| 961 |
+
"step": 1360
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.46,
|
| 965 |
+
"grad_norm": 0.4961351454257965,
|
| 966 |
+
"learning_rate": 0.0002839288931085761,
|
| 967 |
+
"loss": 2.9736,
|
| 968 |
+
"step": 1370
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.46,
|
| 972 |
+
"grad_norm": 0.48107197880744934,
|
| 973 |
+
"learning_rate": 0.00028133330839107606,
|
| 974 |
+
"loss": 2.9818,
|
| 975 |
+
"step": 1380
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.46,
|
| 979 |
+
"grad_norm": 0.5018859505653381,
|
| 980 |
+
"learning_rate": 0.0002787342876232167,
|
| 981 |
+
"loss": 2.9993,
|
| 982 |
+
"step": 1390
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.47,
|
| 986 |
+
"grad_norm": 0.5005733966827393,
|
| 987 |
+
"learning_rate": 0.0002761321158169134,
|
| 988 |
+
"loss": 2.971,
|
| 989 |
+
"step": 1400
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.47,
|
| 993 |
+
"grad_norm": 0.45412546396255493,
|
| 994 |
+
"learning_rate": 0.0002735270783296286,
|
| 995 |
+
"loss": 2.9343,
|
| 996 |
+
"step": 1410
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.47,
|
| 1000 |
+
"grad_norm": 0.49526095390319824,
|
| 1001 |
+
"learning_rate": 0.00027091946083307894,
|
| 1002 |
+
"loss": 3.0247,
|
| 1003 |
+
"step": 1420
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.48,
|
| 1007 |
+
"grad_norm": 0.5004629492759705,
|
| 1008 |
+
"learning_rate": 0.00026830954928190793,
|
| 1009 |
+
"loss": 2.9386,
|
| 1010 |
+
"step": 1430
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.48,
|
| 1014 |
+
"grad_norm": 0.5008641481399536,
|
| 1015 |
+
"learning_rate": 0.0002656976298823284,
|
| 1016 |
+
"loss": 2.9768,
|
| 1017 |
+
"step": 1440
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.48,
|
| 1021 |
+
"grad_norm": 0.4870932698249817,
|
| 1022 |
+
"learning_rate": 0.000263083989060736,
|
| 1023 |
+
"loss": 2.9825,
|
| 1024 |
+
"step": 1450
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.49,
|
| 1028 |
+
"grad_norm": 0.47083091735839844,
|
| 1029 |
+
"learning_rate": 0.0002604689134322999,
|
| 1030 |
+
"loss": 2.9694,
|
| 1031 |
+
"step": 1460
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.49,
|
| 1035 |
+
"grad_norm": 0.4780152440071106,
|
| 1036 |
+
"learning_rate": 0.00025785268976953206,
|
| 1037 |
+
"loss": 3.0139,
|
| 1038 |
+
"step": 1470
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.49,
|
| 1042 |
+
"grad_norm": 0.47919341921806335,
|
| 1043 |
+
"learning_rate": 0.00025523560497083924,
|
| 1044 |
+
"loss": 2.9558,
|
| 1045 |
+
"step": 1480
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.5,
|
| 1049 |
+
"grad_norm": 0.4744253158569336,
|
| 1050 |
+
"learning_rate": 0.00025261794602906147,
|
| 1051 |
+
"loss": 2.9823,
|
| 1052 |
+
"step": 1490
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.5,
|
| 1056 |
+
"grad_norm": 0.47770825028419495,
|
| 1057 |
+
"learning_rate": 0.00025,
|
| 1058 |
+
"loss": 2.976,
|
| 1059 |
+
"step": 1500
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.5,
|
| 1063 |
+
"grad_norm": 0.535241961479187,
|
| 1064 |
+
"learning_rate": 0.00024738205397093865,
|
| 1065 |
+
"loss": 2.9404,
|
| 1066 |
+
"step": 1510
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.51,
|
| 1070 |
+
"grad_norm": 0.5206143260002136,
|
| 1071 |
+
"learning_rate": 0.00024476439502916077,
|
| 1072 |
+
"loss": 2.9697,
|
| 1073 |
+
"step": 1520
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.51,
|
| 1077 |
+
"grad_norm": 0.4685532748699188,
|
| 1078 |
+
"learning_rate": 0.00024214731023046793,
|
| 1079 |
+
"loss": 3.031,
|
| 1080 |
+
"step": 1530
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.51,
|
| 1084 |
+
"grad_norm": 0.45759207010269165,
|
| 1085 |
+
"learning_rate": 0.00023953108656770016,
|
| 1086 |
+
"loss": 2.9371,
|
| 1087 |
+
"step": 1540
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.52,
|
| 1091 |
+
"grad_norm": 0.47409725189208984,
|
| 1092 |
+
"learning_rate": 0.00023691601093926405,
|
| 1093 |
+
"loss": 2.9492,
|
| 1094 |
+
"step": 1550
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.52,
|
| 1098 |
+
"grad_norm": 0.4723811149597168,
|
| 1099 |
+
"learning_rate": 0.00023430237011767165,
|
| 1100 |
+
"loss": 3.0055,
|
| 1101 |
+
"step": 1560
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.52,
|
| 1105 |
+
"grad_norm": 0.5121801495552063,
|
| 1106 |
+
"learning_rate": 0.00023169045071809213,
|
| 1107 |
+
"loss": 2.9654,
|
| 1108 |
+
"step": 1570
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.53,
|
| 1112 |
+
"grad_norm": 0.47900766134262085,
|
| 1113 |
+
"learning_rate": 0.00022908053916692117,
|
| 1114 |
+
"loss": 2.9665,
|
| 1115 |
+
"step": 1580
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.53,
|
| 1119 |
+
"grad_norm": 0.47504156827926636,
|
| 1120 |
+
"learning_rate": 0.00022647292167037142,
|
| 1121 |
+
"loss": 2.9543,
|
| 1122 |
+
"step": 1590
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.53,
|
| 1126 |
+
"grad_norm": 0.48130717873573303,
|
| 1127 |
+
"learning_rate": 0.00022386788418308668,
|
| 1128 |
+
"loss": 2.9948,
|
| 1129 |
+
"step": 1600
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.54,
|
| 1133 |
+
"grad_norm": 0.4968855381011963,
|
| 1134 |
+
"learning_rate": 0.00022126571237678338,
|
| 1135 |
+
"loss": 3.0497,
|
| 1136 |
+
"step": 1610
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.54,
|
| 1140 |
+
"grad_norm": 0.45493414998054504,
|
| 1141 |
+
"learning_rate": 0.00021866669160892392,
|
| 1142 |
+
"loss": 3.0211,
|
| 1143 |
+
"step": 1620
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.54,
|
| 1147 |
+
"grad_norm": 0.46341362595558167,
|
| 1148 |
+
"learning_rate": 0.00021607110689142393,
|
| 1149 |
+
"loss": 2.9249,
|
| 1150 |
+
"step": 1630
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.55,
|
| 1154 |
+
"grad_norm": 0.4598373472690582,
|
| 1155 |
+
"learning_rate": 0.00021347924285939712,
|
| 1156 |
+
"loss": 2.9306,
|
| 1157 |
+
"step": 1640
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.55,
|
| 1161 |
+
"grad_norm": 0.5339600443840027,
|
| 1162 |
+
"learning_rate": 0.00021089138373994224,
|
| 1163 |
+
"loss": 2.9457,
|
| 1164 |
+
"step": 1650
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.55,
|
| 1168 |
+
"grad_norm": 0.4766974449157715,
|
| 1169 |
+
"learning_rate": 0.00020830781332097445,
|
| 1170 |
+
"loss": 2.9573,
|
| 1171 |
+
"step": 1660
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.56,
|
| 1175 |
+
"grad_norm": 0.45860227942466736,
|
| 1176 |
+
"learning_rate": 0.0002057288149201042,
|
| 1177 |
+
"loss": 2.9067,
|
| 1178 |
+
"step": 1670
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.56,
|
| 1182 |
+
"grad_norm": 0.4715401530265808,
|
| 1183 |
+
"learning_rate": 0.0002031546713535688,
|
| 1184 |
+
"loss": 2.9373,
|
| 1185 |
+
"step": 1680
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.56,
|
| 1189 |
+
"grad_norm": 0.4715852439403534,
|
| 1190 |
+
"learning_rate": 0.00020058566490521845,
|
| 1191 |
+
"loss": 2.9486,
|
| 1192 |
+
"step": 1690
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.57,
|
| 1196 |
+
"grad_norm": 0.4740593731403351,
|
| 1197 |
+
"learning_rate": 0.0001980220772955602,
|
| 1198 |
+
"loss": 2.9672,
|
| 1199 |
+
"step": 1700
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.57,
|
| 1203 |
+
"grad_norm": 0.5071026086807251,
|
| 1204 |
+
"learning_rate": 0.00019546418965086444,
|
| 1205 |
+
"loss": 2.9791,
|
| 1206 |
+
"step": 1710
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.57,
|
| 1210 |
+
"grad_norm": 0.46667274832725525,
|
| 1211 |
+
"learning_rate": 0.00019291228247233605,
|
| 1212 |
+
"loss": 2.9517,
|
| 1213 |
+
"step": 1720
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.58,
|
| 1217 |
+
"grad_norm": 0.5175219178199768,
|
| 1218 |
+
"learning_rate": 0.00019036663560535483,
|
| 1219 |
+
"loss": 2.9765,
|
| 1220 |
+
"step": 1730
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.58,
|
| 1224 |
+
"grad_norm": 0.4796634018421173,
|
| 1225 |
+
"learning_rate": 0.00018782752820878634,
|
| 1226 |
+
"loss": 2.9258,
|
| 1227 |
+
"step": 1740
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.58,
|
| 1231 |
+
"grad_norm": 0.4871932566165924,
|
| 1232 |
+
"learning_rate": 0.0001852952387243698,
|
| 1233 |
+
"loss": 2.9403,
|
| 1234 |
+
"step": 1750
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.59,
|
| 1238 |
+
"grad_norm": 0.4641266167163849,
|
| 1239 |
+
"learning_rate": 0.00018277004484618358,
|
| 1240 |
+
"loss": 2.9058,
|
| 1241 |
+
"step": 1760
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.59,
|
| 1245 |
+
"grad_norm": 0.4585517346858978,
|
| 1246 |
+
"learning_rate": 0.0001802522234901927,
|
| 1247 |
+
"loss": 2.9802,
|
| 1248 |
+
"step": 1770
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.59,
|
| 1252 |
+
"grad_norm": 0.4525165855884552,
|
| 1253 |
+
"learning_rate": 0.00017774205076388205,
|
| 1254 |
+
"loss": 3.0241,
|
| 1255 |
+
"step": 1780
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.6,
|
| 1259 |
+
"grad_norm": 0.4651874303817749,
|
| 1260 |
+
"learning_rate": 0.00017523980193597836,
|
| 1261 |
+
"loss": 2.9783,
|
| 1262 |
+
"step": 1790
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.6,
|
| 1266 |
+
"grad_norm": 0.4655090868473053,
|
| 1267 |
+
"learning_rate": 0.00017274575140626317,
|
| 1268 |
+
"loss": 2.9115,
|
| 1269 |
+
"step": 1800
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.6,
|
| 1273 |
+
"grad_norm": 0.44796276092529297,
|
| 1274 |
+
"learning_rate": 0.0001702601726754825,
|
| 1275 |
+
"loss": 2.9357,
|
| 1276 |
+
"step": 1810
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.61,
|
| 1280 |
+
"grad_norm": 0.5139617323875427,
|
| 1281 |
+
"learning_rate": 0.00016778333831535418,
|
| 1282 |
+
"loss": 2.9124,
|
| 1283 |
+
"step": 1820
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.61,
|
| 1287 |
+
"grad_norm": 0.4756507873535156,
|
| 1288 |
+
"learning_rate": 0.00016531551993867715,
|
| 1289 |
+
"loss": 2.9252,
|
| 1290 |
+
"step": 1830
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.61,
|
| 1294 |
+
"grad_norm": 0.47321391105651855,
|
| 1295 |
+
"learning_rate": 0.00016285698816954626,
|
| 1296 |
+
"loss": 2.9801,
|
| 1297 |
+
"step": 1840
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.62,
|
| 1301 |
+
"grad_norm": 0.4512488842010498,
|
| 1302 |
+
"learning_rate": 0.00016040801261367493,
|
| 1303 |
+
"loss": 3.0134,
|
| 1304 |
+
"step": 1850
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.62,
|
| 1308 |
+
"grad_norm": 0.5047795176506042,
|
| 1309 |
+
"learning_rate": 0.00015796886182883053,
|
| 1310 |
+
"loss": 2.9549,
|
| 1311 |
+
"step": 1860
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.62,
|
| 1315 |
+
"grad_norm": 0.4670908451080322,
|
| 1316 |
+
"learning_rate": 0.00015553980329538326,
|
| 1317 |
+
"loss": 2.9534,
|
| 1318 |
+
"step": 1870
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.63,
|
| 1322 |
+
"grad_norm": 0.4596426784992218,
|
| 1323 |
+
"learning_rate": 0.00015312110338697426,
|
| 1324 |
+
"loss": 2.9802,
|
| 1325 |
+
"step": 1880
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.63,
|
| 1329 |
+
"grad_norm": 0.45904773473739624,
|
| 1330 |
+
"learning_rate": 0.00015071302734130488,
|
| 1331 |
+
"loss": 2.9435,
|
| 1332 |
+
"step": 1890
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.63,
|
| 1336 |
+
"grad_norm": 0.48870381712913513,
|
| 1337 |
+
"learning_rate": 0.00014831583923105,
|
| 1338 |
+
"loss": 2.9378,
|
| 1339 |
+
"step": 1900
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.64,
|
| 1343 |
+
"grad_norm": 0.4705340564250946,
|
| 1344 |
+
"learning_rate": 0.00014592980193489974,
|
| 1345 |
+
"loss": 2.9716,
|
| 1346 |
+
"step": 1910
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.64,
|
| 1350 |
+
"grad_norm": 0.45324671268463135,
|
| 1351 |
+
"learning_rate": 0.00014355517710873183,
|
| 1352 |
+
"loss": 2.9729,
|
| 1353 |
+
"step": 1920
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.64,
|
| 1357 |
+
"grad_norm": 0.4573574662208557,
|
| 1358 |
+
"learning_rate": 0.00014119222515691815,
|
| 1359 |
+
"loss": 2.9286,
|
| 1360 |
+
"step": 1930
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.65,
|
| 1364 |
+
"grad_norm": 0.48345670104026794,
|
| 1365 |
+
"learning_rate": 0.00013884120520376818,
|
| 1366 |
+
"loss": 3.0016,
|
| 1367 |
+
"step": 1940
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.65,
|
| 1371 |
+
"grad_norm": 0.4590473175048828,
|
| 1372 |
+
"learning_rate": 0.00013650237506511331,
|
| 1373 |
+
"loss": 2.8464,
|
| 1374 |
+
"step": 1950
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.65,
|
| 1378 |
+
"grad_norm": 0.7705239057540894,
|
| 1379 |
+
"learning_rate": 0.00013417599122003462,
|
| 1380 |
+
"loss": 3.007,
|
| 1381 |
+
"step": 1960
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.66,
|
| 1385 |
+
"grad_norm": 0.4770728647708893,
|
| 1386 |
+
"learning_rate": 0.00013186230878273653,
|
| 1387 |
+
"loss": 2.9381,
|
| 1388 |
+
"step": 1970
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.66,
|
| 1392 |
+
"grad_norm": 0.44512978196144104,
|
| 1393 |
+
"learning_rate": 0.00012956158147457115,
|
| 1394 |
+
"loss": 2.9813,
|
| 1395 |
+
"step": 1980
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.66,
|
| 1399 |
+
"grad_norm": 0.4624728262424469,
|
| 1400 |
+
"learning_rate": 0.00012727406159621478,
|
| 1401 |
+
"loss": 2.9069,
|
| 1402 |
+
"step": 1990
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.67,
|
| 1406 |
+
"grad_norm": 0.47390344738960266,
|
| 1407 |
+
"learning_rate": 0.00012500000000000006,
|
| 1408 |
+
"loss": 2.9868,
|
| 1409 |
+
"step": 2000
|
| 1410 |
+
}
|
| 1411 |
+
],
|
| 1412 |
+
"logging_steps": 10,
|
| 1413 |
+
"max_steps": 3000,
|
| 1414 |
+
"num_input_tokens_seen": 0,
|
| 1415 |
+
"num_train_epochs": 9223372036854775807,
|
| 1416 |
+
"save_steps": 1000,
|
| 1417 |
+
"total_flos": 2.85480780300288e+18,
|
| 1418 |
+
"train_batch_size": 16,
|
| 1419 |
+
"trial_name": null,
|
| 1420 |
+
"trial_params": null
|
| 1421 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2220e9630781dc148b0f5bea27b08fb071f0652a6b90a0d5cc7e2519f0fa43fe
|
| 3 |
+
size 5112
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|