ErrorAI commited on
Commit
a307c6c
·
verified ·
1 Parent(s): 6209e37

Training in progress, step 42, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/Qwen2-7B
3
+ library_name: peft
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 0.13.2
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "unsloth/Qwen2-7B",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
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": 16,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "gate_proj",
24
+ "v_proj",
25
+ "k_proj",
26
+ "o_proj",
27
+ "q_proj",
28
+ "up_proj",
29
+ "down_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:98df03ddc42ee23dfc9397a157fdf5595bec94a559dc79f60eefccec14727236
3
+ size 80792096
last-checkpoint/added_tokens.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "<|PAD_TOKEN|>": 151646,
3
+ "<|endoftext|>": 151643,
4
+ "<|im_end|>": 151645,
5
+ "<|im_start|>": 151644
6
+ }
last-checkpoint/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ddbbb94009a81c8ca5939e83bac7eb5da4efb9de62decf31638e35311286ddc
3
+ size 41459700
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e9a4e08a87ddd9d42b40ed4dd1f2e2efd7de5d35d1946c28f1100f4e73a052e
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e92ce802324e51c3fe82f3bad8c2cdc86e190342c7dd6614cf7fbba06f9212f
3
+ size 1064
last-checkpoint/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": "<|PAD_TOKEN|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ }
20
+ }
last-checkpoint/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9479047c22047670077878de944c696032b1a81049beeb6e99fbda7fb93e395a
3
+ size 11418456
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "151646": {
29
+ "content": "<|PAD_TOKEN|>",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ }
36
+ },
37
+ "additional_special_tokens": [
38
+ "<|im_start|>",
39
+ "<|im_end|>"
40
+ ],
41
+ "bos_token": null,
42
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
43
+ "clean_up_tokenization_spaces": false,
44
+ "eos_token": "<|endoftext|>",
45
+ "errors": "replace",
46
+ "model_max_length": 32768,
47
+ "pad_token": "<|PAD_TOKEN|>",
48
+ "padding_side": "left",
49
+ "split_special_tokens": false,
50
+ "tokenizer_class": "Qwen2Tokenizer",
51
+ "unk_token": null
52
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,327 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.25416036308623297,
5
+ "eval_steps": 500,
6
+ "global_step": 42,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.006051437216338881,
13
+ "grad_norm": 0.23612292110919952,
14
+ "learning_rate": 2e-05,
15
+ "loss": 1.6094,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.012102874432677761,
20
+ "grad_norm": 0.21936853229999542,
21
+ "learning_rate": 4e-05,
22
+ "loss": 1.7958,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.018154311649016642,
27
+ "grad_norm": 0.2684606909751892,
28
+ "learning_rate": 6e-05,
29
+ "loss": 2.3944,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.024205748865355523,
34
+ "grad_norm": 0.2940954267978668,
35
+ "learning_rate": 8e-05,
36
+ "loss": 2.3674,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.030257186081694403,
41
+ "grad_norm": 0.2846325933933258,
42
+ "learning_rate": 0.0001,
43
+ "loss": 2.1885,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.036308623298033284,
48
+ "grad_norm": 0.3098210096359253,
49
+ "learning_rate": 9.999048137490364e-05,
50
+ "loss": 1.8546,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.04236006051437216,
55
+ "grad_norm": 0.33546316623687744,
56
+ "learning_rate": 9.99619291237835e-05,
57
+ "loss": 2.073,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.048411497730711045,
62
+ "grad_norm": 0.3401203453540802,
63
+ "learning_rate": 9.991435411776654e-05,
64
+ "loss": 1.9222,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.05446293494704992,
69
+ "grad_norm": 0.48030051589012146,
70
+ "learning_rate": 9.984777447079862e-05,
71
+ "loss": 2.4656,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.060514372163388806,
76
+ "grad_norm": 0.41418835520744324,
77
+ "learning_rate": 9.976221553274767e-05,
78
+ "loss": 2.5115,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.06656580937972768,
83
+ "grad_norm": 0.5238416790962219,
84
+ "learning_rate": 9.965770987975189e-05,
85
+ "loss": 2.4795,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.07261724659606657,
90
+ "grad_norm": 0.48317399621009827,
91
+ "learning_rate": 9.953429730181653e-05,
92
+ "loss": 2.505,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.07866868381240545,
97
+ "grad_norm": 0.6496583223342896,
98
+ "learning_rate": 9.939202478766407e-05,
99
+ "loss": 2.6298,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.08472012102874432,
104
+ "grad_norm": 0.7371865510940552,
105
+ "learning_rate": 9.923094650684345e-05,
106
+ "loss": 2.5862,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.0907715582450832,
111
+ "grad_norm": 0.7955237030982971,
112
+ "learning_rate": 9.905112378910532e-05,
113
+ "loss": 2.6021,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.09682299546142209,
118
+ "grad_norm": 0.747599720954895,
119
+ "learning_rate": 9.885262510105102e-05,
120
+ "loss": 2.3921,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.10287443267776097,
125
+ "grad_norm": 0.8165279626846313,
126
+ "learning_rate": 9.863552602006435e-05,
127
+ "loss": 2.3954,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.10892586989409984,
132
+ "grad_norm": 0.8175137042999268,
133
+ "learning_rate": 9.839990920553565e-05,
134
+ "loss": 2.5323,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.11497730711043873,
139
+ "grad_norm": 0.8728551864624023,
140
+ "learning_rate": 9.814586436738998e-05,
141
+ "loss": 2.3727,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.12102874432677761,
146
+ "grad_norm": 0.9302012920379639,
147
+ "learning_rate": 9.787348823193013e-05,
148
+ "loss": 2.4606,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.12708018154311648,
153
+ "grad_norm": 0.9512920379638672,
154
+ "learning_rate": 9.75828845050089e-05,
155
+ "loss": 2.201,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.13313161875945537,
160
+ "grad_norm": 1.1705322265625,
161
+ "learning_rate": 9.72741638325434e-05,
162
+ "loss": 2.3474,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.13918305597579425,
167
+ "grad_norm": 1.1705471277236938,
168
+ "learning_rate": 9.694744375838725e-05,
169
+ "loss": 2.3085,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.14523449319213314,
174
+ "grad_norm": 1.2117750644683838,
175
+ "learning_rate": 9.660284867957636e-05,
176
+ "loss": 2.0941,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.15128593040847202,
181
+ "grad_norm": 1.2110291719436646,
182
+ "learning_rate": 9.624050979896533e-05,
183
+ "loss": 2.0143,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.1573373676248109,
188
+ "grad_norm": 1.1926169395446777,
189
+ "learning_rate": 9.586056507527266e-05,
190
+ "loss": 1.9534,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.16338880484114976,
195
+ "grad_norm": 1.1735974550247192,
196
+ "learning_rate": 9.546315917055361e-05,
197
+ "loss": 1.9372,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.16944024205748864,
202
+ "grad_norm": 1.21225905418396,
203
+ "learning_rate": 9.504844339512095e-05,
204
+ "loss": 1.8305,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.17549167927382753,
209
+ "grad_norm": 1.3545117378234863,
210
+ "learning_rate": 9.461657564993418e-05,
211
+ "loss": 1.8428,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.1815431164901664,
216
+ "grad_norm": 1.6355072259902954,
217
+ "learning_rate": 9.416772036647958e-05,
218
+ "loss": 1.8407,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.1875945537065053,
223
+ "grad_norm": 2.1837329864501953,
224
+ "learning_rate": 9.370204844416382e-05,
225
+ "loss": 2.284,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.19364599092284418,
230
+ "grad_norm": 1.917792558670044,
231
+ "learning_rate": 9.321973718524472e-05,
232
+ "loss": 2.086,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.19969742813918306,
237
+ "grad_norm": 2.3043246269226074,
238
+ "learning_rate": 9.272097022732443e-05,
239
+ "loss": 2.1633,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.20574886535552195,
244
+ "grad_norm": 2.235715627670288,
245
+ "learning_rate": 9.220593747343027e-05,
246
+ "loss": 2.3737,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.2118003025718608,
251
+ "grad_norm": 2.3425846099853516,
252
+ "learning_rate": 9.16748350197101e-05,
253
+ "loss": 2.2327,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.2178517397881997,
258
+ "grad_norm": 2.3417069911956787,
259
+ "learning_rate": 9.112786508076972e-05,
260
+ "loss": 2.0814,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.22390317700453857,
265
+ "grad_norm": 3.114316701889038,
266
+ "learning_rate": 9.056523591268064e-05,
267
+ "loss": 2.2132,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.22995461422087746,
272
+ "grad_norm": 3.6260831356048584,
273
+ "learning_rate": 8.998716173368762e-05,
274
+ "loss": 2.1062,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.23600605143721634,
279
+ "grad_norm": 4.580545902252197,
280
+ "learning_rate": 8.939386264264616e-05,
281
+ "loss": 2.199,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.24205748865355523,
286
+ "grad_norm": 5.529226779937744,
287
+ "learning_rate": 8.8785564535221e-05,
288
+ "loss": 2.0428,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.2481089258698941,
293
+ "grad_norm": 8.231687545776367,
294
+ "learning_rate": 8.816249901787737e-05,
295
+ "loss": 2.1102,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.25416036308623297,
300
+ "grad_norm": 1.3886011838912964,
301
+ "learning_rate": 8.752490331969807e-05,
302
+ "loss": 1.3385,
303
+ "step": 42
304
+ }
305
+ ],
306
+ "logging_steps": 1,
307
+ "max_steps": 166,
308
+ "num_input_tokens_seen": 0,
309
+ "num_train_epochs": 2,
310
+ "save_steps": 42,
311
+ "stateful_callbacks": {
312
+ "TrainerControl": {
313
+ "args": {
314
+ "should_epoch_stop": false,
315
+ "should_evaluate": false,
316
+ "should_log": false,
317
+ "should_save": true,
318
+ "should_training_stop": false
319
+ },
320
+ "attributes": {}
321
+ }
322
+ },
323
+ "total_flos": 2.9450549178925056e+16,
324
+ "train_batch_size": 4,
325
+ "trial_name": null,
326
+ "trial_params": null
327
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5bf3a8bd9a52db9c553d3903cd2ebe4d336ef5bc7211f525862f48b0c20e513
3
+ size 6776
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff