Initial model upload

README.md

@@ -1,21 +1,210 @@
 ---
 base_model: CohereLabs/aya-vision-8b
+library_name: peft
+pipeline_tag: text-generation
 tags:
-- text-generation-inference
+- base_model:adapter:CohereLabs/aya-vision-8b
+- lora
+- sft
 - transformers
+- trl
 - unsloth
-- aya_vision
-license: apache-2.0
-language:
-- en
 ---
 
-# Uploaded finetuned  model
+# Model Card for Model ID
 
-- **Developed by:** Jaward
-- **License:** apache-2.0
-- **Finetuned from model :** CohereLabs/aya-vision-8b
+<!-- Provide a quick summary of what the model is/does. -->
 
-This aya_vision model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.17.1

adapter_config.json

@@ -0,0 +1,38 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": {
+    "base_model_class": "AyaVisionForConditionalGeneration",
+    "parent_library": "transformers.models.aya_vision.modeling_aya_vision",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "CohereLabs/aya-vision-8b",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 8,
+  "lora_bias": false,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "(?:.*?(?:vision|image|visual|patch|language|text).*?(?:mlp|feed_forward|ffn|dense).*?(?:k_proj|v_proj|q_proj|out_proj|fc1|fc2|o_proj|gate_proj|up_proj|down_proj).*?)|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:mlp|feed_forward|ffn|dense)\\.(?:(?:k_proj|v_proj|q_proj|out_proj|fc1|fc2|o_proj|gate_proj|up_proj|down_proj)))",
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6dbbd5b73c4b6c849d268bbdf30732823cb7252a17630e7154368292f31963ab
+size 66096112

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eef1acec94da52bb87b0645966952f09d2201d6cde14080e8d2cbd2114145a6a
+size 33894165

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:19b15d59b7d2f507771b26ca44b1603b8cdd22ee0992f3217d7e17b763986855
+size 14645

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8f14c1eb4ce846e5659e56f30dfc93f22bd1d588b528d90f727eb2e353b7c57
+size 1465

tokenizer_config.json

@@ -375,14 +375,11 @@
   "pad_to_multiple_of": null,
   "pad_token": "<PAD>",
   "pad_token_type_id": 0,
-  "padding_side": "left",
+  "padding_side": "right",
   "processor_class": "AyaVisionProcessor",
   "sp_model_kwargs": {},
   "spaces_between_special_tokens": false,
-  "stride": 0,
   "tokenizer_class": "CohereTokenizer",
-  "truncation_side": "right",
-  "truncation_strategy": "longest_first",
   "unk_token": null,
   "use_default_system_prompt": false,
   "vocab_file": null

trainer_state.json

@@ -0,0 +1,1364 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 10.0,
+  "eval_steps": 500,
+  "global_step": 190,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.05333333333333334,
+      "grad_norm": 2.9939651489257812,
+      "learning_rate": 0.0,
+      "loss": 5.926,
+      "step": 1
+    },
+    {
+      "epoch": 0.10666666666666667,
+      "grad_norm": 3.11077618598938,
+      "learning_rate": 4e-05,
+      "loss": 6.0494,
+      "step": 2
+    },
+    {
+      "epoch": 0.16,
+      "grad_norm": 3.065760374069214,
+      "learning_rate": 8e-05,
+      "loss": 5.6388,
+      "step": 3
+    },
+    {
+      "epoch": 0.21333333333333335,
+      "grad_norm": 2.9126641750335693,
+      "learning_rate": 0.00012,
+      "loss": 5.4761,
+      "step": 4
+    },
+    {
+      "epoch": 0.26666666666666666,
+      "grad_norm": 2.801853895187378,
+      "learning_rate": 0.00016,
+      "loss": 4.6481,
+      "step": 5
+    },
+    {
+      "epoch": 0.32,
+      "grad_norm": 2.5619330406188965,
+      "learning_rate": 0.0002,
+      "loss": 4.1709,
+      "step": 6
+    },
+    {
+      "epoch": 0.37333333333333335,
+      "grad_norm": 2.608609199523926,
+      "learning_rate": 0.00019891891891891895,
+      "loss": 3.5148,
+      "step": 7
+    },
+    {
+      "epoch": 0.4266666666666667,
+      "grad_norm": 2.3922441005706787,
+      "learning_rate": 0.00019783783783783784,
+      "loss": 2.8294,
+      "step": 8
+    },
+    {
+      "epoch": 0.48,
+      "grad_norm": 2.1659512519836426,
+      "learning_rate": 0.00019675675675675678,
+      "loss": 2.7794,
+      "step": 9
+    },
+    {
+      "epoch": 0.5333333333333333,
+      "grad_norm": 1.8976439237594604,
+      "learning_rate": 0.00019567567567567567,
+      "loss": 2.2562,
+      "step": 10
+    },
+    {
+      "epoch": 0.5866666666666667,
+      "grad_norm": 1.6699284315109253,
+      "learning_rate": 0.00019459459459459462,
+      "loss": 1.8949,
+      "step": 11
+    },
+    {
+      "epoch": 0.64,
+      "grad_norm": 1.5291804075241089,
+      "learning_rate": 0.00019351351351351353,
+      "loss": 1.7623,
+      "step": 12
+    },
+    {
+      "epoch": 0.6933333333333334,
+      "grad_norm": 1.3941810131072998,
+      "learning_rate": 0.00019243243243243245,
+      "loss": 1.525,
+      "step": 13
+    },
+    {
+      "epoch": 0.7466666666666667,
+      "grad_norm": 1.37143075466156,
+      "learning_rate": 0.00019135135135135137,
+      "loss": 1.6288,
+      "step": 14
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 1.2032169103622437,
+      "learning_rate": 0.00019027027027027028,
+      "loss": 1.2502,
+      "step": 15
+    },
+    {
+      "epoch": 0.8533333333333334,
+      "grad_norm": 1.2003282308578491,
+      "learning_rate": 0.0001891891891891892,
+      "loss": 1.3167,
+      "step": 16
+    },
+    {
+      "epoch": 0.9066666666666666,
+      "grad_norm": 1.2647852897644043,
+      "learning_rate": 0.00018810810810810814,
+      "loss": 1.2958,
+      "step": 17
+    },
+    {
+      "epoch": 0.96,
+      "grad_norm": 1.2225099802017212,
+      "learning_rate": 0.00018702702702702703,
+      "loss": 1.1039,
+      "step": 18
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 1.1175678968429565,
+      "learning_rate": 0.00018594594594594597,
+      "loss": 1.0148,
+      "step": 19
+    },
+    {
+      "epoch": 1.0533333333333332,
+      "grad_norm": 1.1830530166625977,
+      "learning_rate": 0.00018486486486486486,
+      "loss": 1.0407,
+      "step": 20
+    },
+    {
+      "epoch": 1.1066666666666667,
+      "grad_norm": 0.9075496196746826,
+      "learning_rate": 0.0001837837837837838,
+      "loss": 0.9057,
+      "step": 21
+    },
+    {
+      "epoch": 1.16,
+      "grad_norm": 0.8098593354225159,
+      "learning_rate": 0.00018270270270270272,
+      "loss": 0.8612,
+      "step": 22
+    },
+    {
+      "epoch": 1.2133333333333334,
+      "grad_norm": 0.9240499138832092,
+      "learning_rate": 0.00018162162162162164,
+      "loss": 0.8828,
+      "step": 23
+    },
+    {
+      "epoch": 1.2666666666666666,
+      "grad_norm": 0.7987530827522278,
+      "learning_rate": 0.00018054054054054055,
+      "loss": 0.8126,
+      "step": 24
+    },
+    {
+      "epoch": 1.32,
+      "grad_norm": 0.8396232724189758,
+      "learning_rate": 0.00017945945945945947,
+      "loss": 0.9116,
+      "step": 25
+    },
+    {
+      "epoch": 1.3733333333333333,
+      "grad_norm": 0.8236972689628601,
+      "learning_rate": 0.00017837837837837839,
+      "loss": 0.7373,
+      "step": 26
+    },
+    {
+      "epoch": 1.4266666666666667,
+      "grad_norm": 0.7285610437393188,
+      "learning_rate": 0.00017729729729729733,
+      "loss": 0.6247,
+      "step": 27
+    },
+    {
+      "epoch": 1.48,
+      "grad_norm": 0.6658008098602295,
+      "learning_rate": 0.00017621621621621622,
+      "loss": 0.6866,
+      "step": 28
+    },
+    {
+      "epoch": 1.5333333333333332,
+      "grad_norm": 0.7446240186691284,
+      "learning_rate": 0.00017513513513513516,
+      "loss": 0.7261,
+      "step": 29
+    },
+    {
+      "epoch": 1.5866666666666667,
+      "grad_norm": 0.6878177523612976,
+      "learning_rate": 0.00017405405405405405,
+      "loss": 0.7688,
+      "step": 30
+    },
+    {
+      "epoch": 1.6400000000000001,
+      "grad_norm": 0.5825473070144653,
+      "learning_rate": 0.000172972972972973,
+      "loss": 0.6443,
+      "step": 31
+    },
+    {
+      "epoch": 1.6933333333333334,
+      "grad_norm": 0.5800288915634155,
+      "learning_rate": 0.0001718918918918919,
+      "loss": 0.6609,
+      "step": 32
+    },
+    {
+      "epoch": 1.7466666666666666,
+      "grad_norm": 0.6077244877815247,
+      "learning_rate": 0.00017081081081081083,
+      "loss": 0.6884,
+      "step": 33
+    },
+    {
+      "epoch": 1.8,
+      "grad_norm": 0.5634922385215759,
+      "learning_rate": 0.00016972972972972974,
+      "loss": 0.5371,
+      "step": 34
+    },
+    {
+      "epoch": 1.8533333333333335,
+      "grad_norm": 0.7918744087219238,
+      "learning_rate": 0.00016864864864864866,
+      "loss": 0.8134,
+      "step": 35
+    },
+    {
+      "epoch": 1.9066666666666667,
+      "grad_norm": 0.8786271214485168,
+      "learning_rate": 0.00016756756756756757,
+      "loss": 0.8388,
+      "step": 36
+    },
+    {
+      "epoch": 1.96,
+      "grad_norm": 0.5388052463531494,
+      "learning_rate": 0.00016648648648648652,
+      "loss": 0.6525,
+      "step": 37
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.8554252982139587,
+      "learning_rate": 0.0001654054054054054,
+      "loss": 0.7793,
+      "step": 38
+    },
+    {
+      "epoch": 2.0533333333333332,
+      "grad_norm": 0.6043028831481934,
+      "learning_rate": 0.00016432432432432435,
+      "loss": 0.6002,
+      "step": 39
+    },
+    {
+      "epoch": 2.1066666666666665,
+      "grad_norm": 0.5654100775718689,
+      "learning_rate": 0.00016324324324324324,
+      "loss": 0.5514,
+      "step": 40
+    },
+    {
+      "epoch": 2.16,
+      "grad_norm": 0.5622905492782593,
+      "learning_rate": 0.00016216216216216218,
+      "loss": 0.5555,
+      "step": 41
+    },
+    {
+      "epoch": 2.2133333333333334,
+      "grad_norm": 0.5281704664230347,
+      "learning_rate": 0.0001610810810810811,
+      "loss": 0.5881,
+      "step": 42
+    },
+    {
+      "epoch": 2.2666666666666666,
+      "grad_norm": 0.4860922396183014,
+      "learning_rate": 0.00016,
+      "loss": 0.4401,
+      "step": 43
+    },
+    {
+      "epoch": 2.32,
+      "grad_norm": 0.592281699180603,
+      "learning_rate": 0.00015891891891891893,
+      "loss": 0.5885,
+      "step": 44
+    },
+    {
+      "epoch": 2.3733333333333335,
+      "grad_norm": 0.4672849774360657,
+      "learning_rate": 0.00015783783783783785,
+      "loss": 0.4213,
+      "step": 45
+    },
+    {
+      "epoch": 2.4266666666666667,
+      "grad_norm": 0.6344936490058899,
+      "learning_rate": 0.00015675675675675676,
+      "loss": 0.5391,
+      "step": 46
+    },
+    {
+      "epoch": 2.48,
+      "grad_norm": 0.6623905897140503,
+      "learning_rate": 0.0001556756756756757,
+      "loss": 0.5531,
+      "step": 47
+    },
+    {
+      "epoch": 2.533333333333333,
+      "grad_norm": 0.6063231229782104,
+      "learning_rate": 0.0001545945945945946,
+      "loss": 0.4793,
+      "step": 48
+    },
+    {
+      "epoch": 2.586666666666667,
+      "grad_norm": 0.5558156967163086,
+      "learning_rate": 0.00015351351351351354,
+      "loss": 0.4482,
+      "step": 49
+    },
+    {
+      "epoch": 2.64,
+      "grad_norm": 0.6785097718238831,
+      "learning_rate": 0.00015243243243243243,
+      "loss": 0.6906,
+      "step": 50
+    },
+    {
+      "epoch": 2.6933333333333334,
+      "grad_norm": 0.6826766729354858,
+      "learning_rate": 0.00015135135135135137,
+      "loss": 0.6222,
+      "step": 51
+    },
+    {
+      "epoch": 2.7466666666666666,
+      "grad_norm": 0.6157349944114685,
+      "learning_rate": 0.00015027027027027028,
+      "loss": 0.4152,
+      "step": 52
+    },
+    {
+      "epoch": 2.8,
+      "grad_norm": 0.7184132933616638,
+      "learning_rate": 0.0001491891891891892,
+      "loss": 0.6114,
+      "step": 53
+    },
+    {
+      "epoch": 2.8533333333333335,
+      "grad_norm": 0.6043546795845032,
+      "learning_rate": 0.00014810810810810812,
+      "loss": 0.4917,
+      "step": 54
+    },
+    {
+      "epoch": 2.9066666666666667,
+      "grad_norm": 0.628749430179596,
+      "learning_rate": 0.00014702702702702703,
+      "loss": 0.3952,
+      "step": 55
+    },
+    {
+      "epoch": 2.96,
+      "grad_norm": 0.6067255735397339,
+      "learning_rate": 0.00014594594594594595,
+      "loss": 0.5159,
+      "step": 56
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 0.7200435400009155,
+      "learning_rate": 0.0001448648648648649,
+      "loss": 0.5015,
+      "step": 57
+    },
+    {
+      "epoch": 3.0533333333333332,
+      "grad_norm": 0.6270686388015747,
+      "learning_rate": 0.00014378378378378378,
+      "loss": 0.5351,
+      "step": 58
+    },
+    {
+      "epoch": 3.1066666666666665,
+      "grad_norm": 0.7099371552467346,
+      "learning_rate": 0.00014270270270270272,
+      "loss": 0.3699,
+      "step": 59
+    },
+    {
+      "epoch": 3.16,
+      "grad_norm": 0.4469902813434601,
+      "learning_rate": 0.00014162162162162161,
+      "loss": 0.3183,
+      "step": 60
+    },
+    {
+      "epoch": 3.2133333333333334,
+      "grad_norm": 0.6315875053405762,
+      "learning_rate": 0.00014054054054054056,
+      "loss": 0.3916,
+      "step": 61
+    },
+    {
+      "epoch": 3.2666666666666666,
+      "grad_norm": 0.7143704891204834,
+      "learning_rate": 0.00013945945945945947,
+      "loss": 0.4279,
+      "step": 62
+    },
+    {
+      "epoch": 3.32,
+      "grad_norm": 0.5957121849060059,
+      "learning_rate": 0.0001383783783783784,
+      "loss": 0.3588,
+      "step": 63
+    },
+    {
+      "epoch": 3.3733333333333335,
+      "grad_norm": 0.7153288722038269,
+      "learning_rate": 0.0001372972972972973,
+      "loss": 0.5773,
+      "step": 64
+    },
+    {
+      "epoch": 3.4266666666666667,
+      "grad_norm": 0.6472995281219482,
+      "learning_rate": 0.00013621621621621622,
+      "loss": 0.4328,
+      "step": 65
+    },
+    {
+      "epoch": 3.48,
+      "grad_norm": 0.6527895331382751,
+      "learning_rate": 0.00013513513513513514,
+      "loss": 0.4454,
+      "step": 66
+    },
+    {
+      "epoch": 3.533333333333333,
+      "grad_norm": 0.5024020671844482,
+      "learning_rate": 0.00013405405405405408,
+      "loss": 0.3404,
+      "step": 67
+    },
+    {
+      "epoch": 3.586666666666667,
+      "grad_norm": 0.5893893837928772,
+      "learning_rate": 0.00013297297297297297,
+      "loss": 0.2628,
+      "step": 68
+    },
+    {
+      "epoch": 3.64,
+      "grad_norm": 0.6590572595596313,
+      "learning_rate": 0.0001318918918918919,
+      "loss": 0.37,
+      "step": 69
+    },
+    {
+      "epoch": 3.6933333333333334,
+      "grad_norm": 0.6503171920776367,
+      "learning_rate": 0.0001308108108108108,
+      "loss": 0.381,
+      "step": 70
+    },
+    {
+      "epoch": 3.7466666666666666,
+      "grad_norm": 0.5625070929527283,
+      "learning_rate": 0.00012972972972972974,
+      "loss": 0.4027,
+      "step": 71
+    },
+    {
+      "epoch": 3.8,
+      "grad_norm": 0.6765126585960388,
+      "learning_rate": 0.00012864864864864866,
+      "loss": 0.4235,
+      "step": 72
+    },
+    {
+      "epoch": 3.8533333333333335,
+      "grad_norm": 0.5564252138137817,
+      "learning_rate": 0.00012756756756756758,
+      "loss": 0.3113,
+      "step": 73
+    },
+    {
+      "epoch": 3.9066666666666667,
+      "grad_norm": 0.5405982732772827,
+      "learning_rate": 0.0001264864864864865,
+      "loss": 0.3067,
+      "step": 74
+    },
+    {
+      "epoch": 3.96,
+      "grad_norm": 0.580288290977478,
+      "learning_rate": 0.0001254054054054054,
+      "loss": 0.283,
+      "step": 75
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 0.6484014391899109,
+      "learning_rate": 0.00012432432432432433,
+      "loss": 0.3488,
+      "step": 76
+    },
+    {
+      "epoch": 4.053333333333334,
+      "grad_norm": 0.5099231600761414,
+      "learning_rate": 0.00012324324324324327,
+      "loss": 0.3175,
+      "step": 77
+    },
+    {
+      "epoch": 4.1066666666666665,
+      "grad_norm": 0.6575998663902283,
+      "learning_rate": 0.00012216216216216216,
+      "loss": 0.4791,
+      "step": 78
+    },
+    {
+      "epoch": 4.16,
+      "grad_norm": 0.6281353235244751,
+      "learning_rate": 0.00012108108108108109,
+      "loss": 0.2972,
+      "step": 79
+    },
+    {
+      "epoch": 4.213333333333333,
+      "grad_norm": 0.6186221837997437,
+      "learning_rate": 0.00012,
+      "loss": 0.2879,
+      "step": 80
+    },
+    {
+      "epoch": 4.266666666666667,
+      "grad_norm": 0.6336839199066162,
+      "learning_rate": 0.00011891891891891893,
+      "loss": 0.3426,
+      "step": 81
+    },
+    {
+      "epoch": 4.32,
+      "grad_norm": 0.6205630302429199,
+      "learning_rate": 0.00011783783783783784,
+      "loss": 0.227,
+      "step": 82
+    },
+    {
+      "epoch": 4.373333333333333,
+      "grad_norm": 0.5527361631393433,
+      "learning_rate": 0.00011675675675675676,
+      "loss": 0.2312,
+      "step": 83
+    },
+    {
+      "epoch": 4.426666666666667,
+      "grad_norm": 0.6175451278686523,
+      "learning_rate": 0.00011567567567567568,
+      "loss": 0.3367,
+      "step": 84
+    },
+    {
+      "epoch": 4.48,
+      "grad_norm": 0.6770386099815369,
+      "learning_rate": 0.00011459459459459461,
+      "loss": 0.3082,
+      "step": 85
+    },
+    {
+      "epoch": 4.533333333333333,
+      "grad_norm": 0.6515651941299438,
+      "learning_rate": 0.00011351351351351351,
+      "loss": 0.2286,
+      "step": 86
+    },
+    {
+      "epoch": 4.586666666666667,
+      "grad_norm": 0.615166962146759,
+      "learning_rate": 0.00011243243243243244,
+      "loss": 0.2034,
+      "step": 87
+    },
+    {
+      "epoch": 4.64,
+      "grad_norm": 0.7103771567344666,
+      "learning_rate": 0.00011135135135135135,
+      "loss": 0.2652,
+      "step": 88
+    },
+    {
+      "epoch": 4.693333333333333,
+      "grad_norm": 0.7127423882484436,
+      "learning_rate": 0.00011027027027027029,
+      "loss": 0.3027,
+      "step": 89
+    },
+    {
+      "epoch": 4.746666666666667,
+      "grad_norm": 0.6815232634544373,
+      "learning_rate": 0.00010918918918918919,
+      "loss": 0.2794,
+      "step": 90
+    },
+    {
+      "epoch": 4.8,
+      "grad_norm": 0.6688821315765381,
+      "learning_rate": 0.00010810810810810812,
+      "loss": 0.2743,
+      "step": 91
+    },
+    {
+      "epoch": 4.8533333333333335,
+      "grad_norm": 0.6266018152236938,
+      "learning_rate": 0.00010702702702702702,
+      "loss": 0.2506,
+      "step": 92
+    },
+    {
+      "epoch": 4.906666666666666,
+      "grad_norm": 0.615983784198761,
+      "learning_rate": 0.00010594594594594595,
+      "loss": 0.244,
+      "step": 93
+    },
+    {
+      "epoch": 4.96,
+      "grad_norm": 0.7407805323600769,
+      "learning_rate": 0.00010486486486486487,
+      "loss": 0.3235,
+      "step": 94
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 0.7214280962944031,
+      "learning_rate": 0.0001037837837837838,
+      "loss": 0.3789,
+      "step": 95
+    },
+    {
+      "epoch": 5.053333333333334,
+      "grad_norm": 0.6973103880882263,
+      "learning_rate": 0.0001027027027027027,
+      "loss": 0.2197,
+      "step": 96
+    },
+    {
+      "epoch": 5.1066666666666665,
+      "grad_norm": 0.5083109736442566,
+      "learning_rate": 0.00010162162162162163,
+      "loss": 0.1289,
+      "step": 97
+    },
+    {
+      "epoch": 5.16,
+      "grad_norm": 0.6989448666572571,
+      "learning_rate": 0.00010054054054054053,
+      "loss": 0.2747,
+      "step": 98
+    },
+    {
+      "epoch": 5.213333333333333,
+      "grad_norm": 0.6188623905181885,
+      "learning_rate": 9.945945945945948e-05,
+      "loss": 0.2397,
+      "step": 99
+    },
+    {
+      "epoch": 5.266666666666667,
+      "grad_norm": 0.6073055863380432,
+      "learning_rate": 9.837837837837839e-05,
+      "loss": 0.2052,
+      "step": 100
+    },
+    {
+      "epoch": 5.32,
+      "grad_norm": 0.6545196175575256,
+      "learning_rate": 9.729729729729731e-05,
+      "loss": 0.2301,
+      "step": 101
+    },
+    {
+      "epoch": 5.373333333333333,
+      "grad_norm": 0.7770692110061646,
+      "learning_rate": 9.621621621621622e-05,
+      "loss": 0.2306,
+      "step": 102
+    },
+    {
+      "epoch": 5.426666666666667,
+      "grad_norm": 0.7740461826324463,
+      "learning_rate": 9.513513513513514e-05,
+      "loss": 0.2685,
+      "step": 103
+    },
+    {
+      "epoch": 5.48,
+      "grad_norm": 0.6835582256317139,
+      "learning_rate": 9.405405405405407e-05,
+      "loss": 0.176,
+      "step": 104
+    },
+    {
+      "epoch": 5.533333333333333,
+      "grad_norm": 0.6593111753463745,
+      "learning_rate": 9.297297297297299e-05,
+      "loss": 0.1909,
+      "step": 105
+    },
+    {
+      "epoch": 5.586666666666667,
+      "grad_norm": 0.8926195502281189,
+      "learning_rate": 9.18918918918919e-05,
+      "loss": 0.2887,
+      "step": 106
+    },
+    {
+      "epoch": 5.64,
+      "grad_norm": 0.79143226146698,
+      "learning_rate": 9.081081081081082e-05,
+      "loss": 0.1818,
+      "step": 107
+    },
+    {
+      "epoch": 5.693333333333333,
+      "grad_norm": 0.6516755819320679,
+      "learning_rate": 8.972972972972973e-05,
+      "loss": 0.2166,
+      "step": 108
+    },
+    {
+      "epoch": 5.746666666666667,
+      "grad_norm": 0.6523953080177307,
+      "learning_rate": 8.864864864864866e-05,
+      "loss": 0.2092,
+      "step": 109
+    },
+    {
+      "epoch": 5.8,
+      "grad_norm": 0.6548402905464172,
+      "learning_rate": 8.756756756756758e-05,
+      "loss": 0.1237,
+      "step": 110
+    },
+    {
+      "epoch": 5.8533333333333335,
+      "grad_norm": 0.8367058038711548,
+      "learning_rate": 8.64864864864865e-05,
+      "loss": 0.2499,
+      "step": 111
+    },
+    {
+      "epoch": 5.906666666666666,
+      "grad_norm": 0.8076928853988647,
+      "learning_rate": 8.540540540540541e-05,
+      "loss": 0.2725,
+      "step": 112
+    },
+    {
+      "epoch": 5.96,
+      "grad_norm": 0.7337738871574402,
+      "learning_rate": 8.432432432432433e-05,
+      "loss": 0.2412,
+      "step": 113
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 0.8447884321212769,
+      "learning_rate": 8.324324324324326e-05,
+      "loss": 0.2018,
+      "step": 114
+    },
+    {
+      "epoch": 6.053333333333334,
+      "grad_norm": 0.6481534838676453,
+      "learning_rate": 8.216216216216217e-05,
+      "loss": 0.1907,
+      "step": 115
+    },
+    {
+      "epoch": 6.1066666666666665,
+      "grad_norm": 0.6754074096679688,
+      "learning_rate": 8.108108108108109e-05,
+      "loss": 0.1559,
+      "step": 116
+    },
+    {
+      "epoch": 6.16,
+      "grad_norm": 0.674432635307312,
+      "learning_rate": 8e-05,
+      "loss": 0.1977,
+      "step": 117
+    },
+    {
+      "epoch": 6.213333333333333,
+      "grad_norm": 0.7197549939155579,
+      "learning_rate": 7.891891891891892e-05,
+      "loss": 0.1708,
+      "step": 118
+    },
+    {
+      "epoch": 6.266666666666667,
+      "grad_norm": 0.5761333107948303,
+      "learning_rate": 7.783783783783785e-05,
+      "loss": 0.1251,
+      "step": 119
+    },
+    {
+      "epoch": 6.32,
+      "grad_norm": 0.5829312801361084,
+      "learning_rate": 7.675675675675677e-05,
+      "loss": 0.1111,
+      "step": 120
+    },
+    {
+      "epoch": 6.373333333333333,
+      "grad_norm": 0.778752863407135,
+      "learning_rate": 7.567567567567568e-05,
+      "loss": 0.1565,
+      "step": 121
+    },
+    {
+      "epoch": 6.426666666666667,
+      "grad_norm": 0.7507519721984863,
+      "learning_rate": 7.45945945945946e-05,
+      "loss": 0.1398,
+      "step": 122
+    },
+    {
+      "epoch": 6.48,
+      "grad_norm": 0.6983451843261719,
+      "learning_rate": 7.351351351351352e-05,
+      "loss": 0.12,
+      "step": 123
+    },
+    {
+      "epoch": 6.533333333333333,
+      "grad_norm": 0.6156823039054871,
+      "learning_rate": 7.243243243243245e-05,
+      "loss": 0.1081,
+      "step": 124
+    },
+    {
+      "epoch": 6.586666666666667,
+      "grad_norm": 0.8576733469963074,
+      "learning_rate": 7.135135135135136e-05,
+      "loss": 0.1332,
+      "step": 125
+    },
+    {
+      "epoch": 6.64,
+      "grad_norm": 0.7912089824676514,
+      "learning_rate": 7.027027027027028e-05,
+      "loss": 0.1283,
+      "step": 126
+    },
+    {
+      "epoch": 6.693333333333333,
+      "grad_norm": 0.8497866988182068,
+      "learning_rate": 6.91891891891892e-05,
+      "loss": 0.1459,
+      "step": 127
+    },
+    {
+      "epoch": 6.746666666666667,
+      "grad_norm": 0.7368230223655701,
+      "learning_rate": 6.810810810810811e-05,
+      "loss": 0.1263,
+      "step": 128
+    },
+    {
+      "epoch": 6.8,
+      "grad_norm": 0.7851323485374451,
+      "learning_rate": 6.702702702702704e-05,
+      "loss": 0.1257,
+      "step": 129
+    },
+    {
+      "epoch": 6.8533333333333335,
+      "grad_norm": 0.7375195622444153,
+      "learning_rate": 6.594594594594596e-05,
+      "loss": 0.126,
+      "step": 130
+    },
+    {
+      "epoch": 6.906666666666666,
+      "grad_norm": 0.8455854654312134,
+      "learning_rate": 6.486486486486487e-05,
+      "loss": 0.1818,
+      "step": 131
+    },
+    {
+      "epoch": 6.96,
+      "grad_norm": 0.7988014817237854,
+      "learning_rate": 6.378378378378379e-05,
+      "loss": 0.1416,
+      "step": 132
+    },
+    {
+      "epoch": 7.0,
+      "grad_norm": 1.181761622428894,
+      "learning_rate": 6.27027027027027e-05,
+      "loss": 0.3061,
+      "step": 133
+    },
+    {
+      "epoch": 7.053333333333334,
+      "grad_norm": 0.7475009560585022,
+      "learning_rate": 6.162162162162163e-05,
+      "loss": 0.1332,
+      "step": 134
+    },
+    {
+      "epoch": 7.1066666666666665,
+      "grad_norm": 0.6371139287948608,
+      "learning_rate": 6.0540540540540543e-05,
+      "loss": 0.0831,
+      "step": 135
+    },
+    {
+      "epoch": 7.16,
+      "grad_norm": 0.5655011534690857,
+      "learning_rate": 5.9459459459459466e-05,
+      "loss": 0.0822,
+      "step": 136
+    },
+    {
+      "epoch": 7.213333333333333,
+      "grad_norm": 0.6641082763671875,
+      "learning_rate": 5.837837837837838e-05,
+      "loss": 0.1068,
+      "step": 137
+    },
+    {
+      "epoch": 7.266666666666667,
+      "grad_norm": 0.5877074599266052,
+      "learning_rate": 5.7297297297297305e-05,
+      "loss": 0.0737,
+      "step": 138
+    },
+    {
+      "epoch": 7.32,
+      "grad_norm": 0.7259334325790405,
+      "learning_rate": 5.621621621621622e-05,
+      "loss": 0.1217,
+      "step": 139
+    },
+    {
+      "epoch": 7.373333333333333,
+      "grad_norm": 0.5484410524368286,
+      "learning_rate": 5.5135135135135144e-05,
+      "loss": 0.0547,
+      "step": 140
+    },
+    {
+      "epoch": 7.426666666666667,
+      "grad_norm": 0.7040739059448242,
+      "learning_rate": 5.405405405405406e-05,
+      "loss": 0.0855,
+      "step": 141
+    },
+    {
+      "epoch": 7.48,
+      "grad_norm": 0.7551671266555786,
+      "learning_rate": 5.2972972972972976e-05,
+      "loss": 0.1419,
+      "step": 142
+    },
+    {
+      "epoch": 7.533333333333333,
+      "grad_norm": 0.7220690846443176,
+      "learning_rate": 5.18918918918919e-05,
+      "loss": 0.09,
+      "step": 143
+    },
+    {
+      "epoch": 7.586666666666667,
+      "grad_norm": 0.7653244137763977,
+      "learning_rate": 5.0810810810810815e-05,
+      "loss": 0.0959,
+      "step": 144
+    },
+    {
+      "epoch": 7.64,
+      "grad_norm": 0.8557524681091309,
+      "learning_rate": 4.972972972972974e-05,
+      "loss": 0.1038,
+      "step": 145
+    },
+    {
+      "epoch": 7.693333333333333,
+      "grad_norm": 0.8686397671699524,
+      "learning_rate": 4.8648648648648654e-05,
+      "loss": 0.063,
+      "step": 146
+    },
+    {
+      "epoch": 7.746666666666667,
+      "grad_norm": 0.6569188237190247,
+      "learning_rate": 4.756756756756757e-05,
+      "loss": 0.0566,
+      "step": 147
+    },
+    {
+      "epoch": 7.8,
+      "grad_norm": 0.8147929906845093,
+      "learning_rate": 4.648648648648649e-05,
+      "loss": 0.0697,
+      "step": 148
+    },
+    {
+      "epoch": 7.8533333333333335,
+      "grad_norm": 0.8243633508682251,
+      "learning_rate": 4.540540540540541e-05,
+      "loss": 0.0882,
+      "step": 149
+    },
+    {
+      "epoch": 7.906666666666666,
+      "grad_norm": 0.8485711216926575,
+      "learning_rate": 4.432432432432433e-05,
+      "loss": 0.0799,
+      "step": 150
+    },
+    {
+      "epoch": 7.96,
+      "grad_norm": 0.9228702187538147,
+      "learning_rate": 4.324324324324325e-05,
+      "loss": 0.0863,
+      "step": 151
+    },
+    {
+      "epoch": 8.0,
+      "grad_norm": 1.06531822681427,
+      "learning_rate": 4.2162162162162164e-05,
+      "loss": 0.1346,
+      "step": 152
+    },
+    {
+      "epoch": 8.053333333333333,
+      "grad_norm": 0.7236900329589844,
+      "learning_rate": 4.108108108108109e-05,
+      "loss": 0.0868,
+      "step": 153
+    },
+    {
+      "epoch": 8.106666666666667,
+      "grad_norm": 0.48567166924476624,
+      "learning_rate": 4e-05,
+      "loss": 0.0375,
+      "step": 154
+    },
+    {
+      "epoch": 8.16,
+      "grad_norm": 0.7095057964324951,
+      "learning_rate": 3.8918918918918926e-05,
+      "loss": 0.0971,
+      "step": 155
+    },
+    {
+      "epoch": 8.213333333333333,
+      "grad_norm": 0.7046399116516113,
+      "learning_rate": 3.783783783783784e-05,
+      "loss": 0.0716,
+      "step": 156
+    },
+    {
+      "epoch": 8.266666666666667,
+      "grad_norm": 0.6369104981422424,
+      "learning_rate": 3.675675675675676e-05,
+      "loss": 0.0702,
+      "step": 157
+    },
+    {
+      "epoch": 8.32,
+      "grad_norm": 0.6888811588287354,
+      "learning_rate": 3.567567567567568e-05,
+      "loss": 0.0607,
+      "step": 158
+    },
+    {
+      "epoch": 8.373333333333333,
+      "grad_norm": 0.6034691333770752,
+      "learning_rate": 3.45945945945946e-05,
+      "loss": 0.0453,
+      "step": 159
+    },
+    {
+      "epoch": 8.426666666666666,
+      "grad_norm": 0.6416992545127869,
+      "learning_rate": 3.351351351351352e-05,
+      "loss": 0.0523,
+      "step": 160
+    },
+    {
+      "epoch": 8.48,
+      "grad_norm": 0.6690638661384583,
+      "learning_rate": 3.2432432432432436e-05,
+      "loss": 0.067,
+      "step": 161
+    },
+    {
+      "epoch": 8.533333333333333,
+      "grad_norm": 0.5749509334564209,
+      "learning_rate": 3.135135135135135e-05,
+      "loss": 0.0514,
+      "step": 162
+    },
+    {
+      "epoch": 8.586666666666666,
+      "grad_norm": 0.7911456227302551,
+      "learning_rate": 3.0270270270270272e-05,
+      "loss": 0.0687,
+      "step": 163
+    },
+    {
+      "epoch": 8.64,
+      "grad_norm": 0.6897225975990295,
+      "learning_rate": 2.918918918918919e-05,
+      "loss": 0.0371,
+      "step": 164
+    },
+    {
+      "epoch": 8.693333333333333,
+      "grad_norm": 0.6747151613235474,
+      "learning_rate": 2.810810810810811e-05,
+      "loss": 0.0405,
+      "step": 165
+    },
+    {
+      "epoch": 8.746666666666666,
+      "grad_norm": 0.6985137462615967,
+      "learning_rate": 2.702702702702703e-05,
+      "loss": 0.0399,
+      "step": 166
+    },
+    {
+      "epoch": 8.8,
+      "grad_norm": 0.64153653383255,
+      "learning_rate": 2.594594594594595e-05,
+      "loss": 0.0493,
+      "step": 167
+    },
+    {
+      "epoch": 8.853333333333333,
+      "grad_norm": 0.6300393342971802,
+      "learning_rate": 2.486486486486487e-05,
+      "loss": 0.0312,
+      "step": 168
+    },
+    {
+      "epoch": 8.906666666666666,
+      "grad_norm": 0.47996580600738525,
+      "learning_rate": 2.3783783783783785e-05,
+      "loss": 0.0315,
+      "step": 169
+    },
+    {
+      "epoch": 8.96,
+      "grad_norm": 0.6305020451545715,
+      "learning_rate": 2.2702702702702705e-05,
+      "loss": 0.0359,
+      "step": 170
+    },
+    {
+      "epoch": 9.0,
+      "grad_norm": 0.6539890766143799,
+      "learning_rate": 2.1621621621621624e-05,
+      "loss": 0.0328,
+      "step": 171
+    },
+    {
+      "epoch": 9.053333333333333,
+      "grad_norm": 0.47058215737342834,
+      "learning_rate": 2.0540540540540544e-05,
+      "loss": 0.0303,
+      "step": 172
+    },
+    {
+      "epoch": 9.106666666666667,
+      "grad_norm": 0.36159807443618774,
+      "learning_rate": 1.9459459459459463e-05,
+      "loss": 0.0148,
+      "step": 173
+    },
+    {
+      "epoch": 9.16,
+      "grad_norm": 0.47357675433158875,
+      "learning_rate": 1.837837837837838e-05,
+      "loss": 0.0357,
+      "step": 174
+    },
+    {
+      "epoch": 9.213333333333333,
+      "grad_norm": 0.5119134187698364,
+      "learning_rate": 1.72972972972973e-05,
+      "loss": 0.0378,
+      "step": 175
+    },
+    {
+      "epoch": 9.266666666666667,
+      "grad_norm": 0.3982938230037689,
+      "learning_rate": 1.6216216216216218e-05,
+      "loss": 0.0189,
+      "step": 176
+    },
+    {
+      "epoch": 9.32,
+      "grad_norm": 0.4229731559753418,
+      "learning_rate": 1.5135135135135136e-05,
+      "loss": 0.0232,
+      "step": 177
+    },
+    {
+      "epoch": 9.373333333333333,
+      "grad_norm": 0.5164742469787598,
+      "learning_rate": 1.4054054054054055e-05,
+      "loss": 0.0416,
+      "step": 178
+    },
+    {
+      "epoch": 9.426666666666666,
+      "grad_norm": 0.6268206834793091,
+      "learning_rate": 1.2972972972972975e-05,
+      "loss": 0.0458,
+      "step": 179
+    },
+    {
+      "epoch": 9.48,
+      "grad_norm": 0.6097092032432556,
+      "learning_rate": 1.1891891891891893e-05,
+      "loss": 0.038,
+      "step": 180
+    },
+    {
+      "epoch": 9.533333333333333,
+      "grad_norm": 0.537212610244751,
+      "learning_rate": 1.0810810810810812e-05,
+      "loss": 0.0237,
+      "step": 181
+    },
+    {
+      "epoch": 9.586666666666666,
+      "grad_norm": 0.4725726842880249,
+      "learning_rate": 9.729729729729732e-06,
+      "loss": 0.025,
+      "step": 182
+    },
+    {
+      "epoch": 9.64,
+      "grad_norm": 0.3361439108848572,
+      "learning_rate": 8.64864864864865e-06,
+      "loss": 0.012,
+      "step": 183
+    },
+    {
+      "epoch": 9.693333333333333,
+      "grad_norm": 0.529528796672821,
+      "learning_rate": 7.567567567567568e-06,
+      "loss": 0.0398,
+      "step": 184
+    },
+    {
+      "epoch": 9.746666666666666,
+      "grad_norm": 0.4508318603038788,
+      "learning_rate": 6.486486486486487e-06,
+      "loss": 0.0245,
+      "step": 185
+    },
+    {
+      "epoch": 9.8,
+      "grad_norm": 0.4403272569179535,
+      "learning_rate": 5.405405405405406e-06,
+      "loss": 0.023,
+      "step": 186
+    },
+    {
+      "epoch": 9.853333333333333,
+      "grad_norm": 0.5844480395317078,
+      "learning_rate": 4.324324324324325e-06,
+      "loss": 0.036,
+      "step": 187
+    },
+    {
+      "epoch": 9.906666666666666,
+      "grad_norm": 0.48860466480255127,
+      "learning_rate": 3.2432432432432437e-06,
+      "loss": 0.0245,
+      "step": 188
+    },
+    {
+      "epoch": 9.96,
+      "grad_norm": 0.5813486576080322,
+      "learning_rate": 2.1621621621621623e-06,
+      "loss": 0.0356,
+      "step": 189
+    },
+    {
+      "epoch": 10.0,
+      "grad_norm": 0.557105541229248,
+      "learning_rate": 1.0810810810810812e-06,
+      "loss": 0.0326,
+      "step": 190
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 190,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.126061441746144e+16,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0dc77e494e88329e5a41facaeeea17405999539e8ecab42ac51ed756e31d5bf
+size 6225