nttx commited on
Commit
dc1d1c0
1 Parent(s): d0b2e1b

Training in progress, step 50, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-3B-Instruct
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": "Qwen/Qwen2.5-3B-Instruct",
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": 32,
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": 16,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "down_proj",
24
+ "o_proj",
25
+ "v_proj",
26
+ "q_proj",
27
+ "gate_proj",
28
+ "up_proj",
29
+ "k_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 sha256:34b216dafccebef71b3f8743874016070781c84a4d1113685a98dd0a986c192e
3
+ size 119801528
last-checkpoint/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
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 sha256:92e7bd24a5ea9a2a0a3a88fe7668a8594f88d4720a50e59e27cb2f942e5d102d
3
+ size 239892858
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:39bf77118e0e81c8abfaec999938da1095ccf8f11b87962110b836efe81fe053
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ad2841b888ce0ae948634757c3fcacf0119c249e0fec8f3ca61ea266369ef92
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
last-checkpoint/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "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 %}",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
201
+ "errors": "replace",
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,416 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": NaN,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-50",
4
+ "epoch": 0.0196174595389897,
5
+ "eval_steps": 25,
6
+ "global_step": 50,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.00039234919077979404,
13
+ "grad_norm": 0.7801864743232727,
14
+ "learning_rate": 2.9999999999999997e-05,
15
+ "loss": 1.1076,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.00039234919077979404,
20
+ "eval_loss": 2.6347837448120117,
21
+ "eval_runtime": 5.3964,
22
+ "eval_samples_per_second": 9.265,
23
+ "eval_steps_per_second": 1.297,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.0007846983815595881,
28
+ "grad_norm": 0.4603287875652313,
29
+ "learning_rate": 5.9999999999999995e-05,
30
+ "loss": 1.7697,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.0011770475723393821,
35
+ "grad_norm": 0.5424301028251648,
36
+ "learning_rate": 8.999999999999999e-05,
37
+ "loss": 2.1838,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.0015693967631191762,
42
+ "grad_norm": 0.5732556581497192,
43
+ "learning_rate": 0.00011999999999999999,
44
+ "loss": 2.1462,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.00196174595389897,
49
+ "grad_norm": 0.5106447339057922,
50
+ "learning_rate": 0.00015,
51
+ "loss": 2.5732,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.0023540951446787643,
56
+ "grad_norm": 0.4012216329574585,
57
+ "learning_rate": 0.00017999999999999998,
58
+ "loss": 2.3035,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.0027464443354585583,
63
+ "grad_norm": 0.4464437961578369,
64
+ "learning_rate": 0.00020999999999999998,
65
+ "loss": 2.5018,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.0031387935262383523,
70
+ "grad_norm": 0.49094539880752563,
71
+ "learning_rate": 0.00023999999999999998,
72
+ "loss": 2.4145,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.003531142717018146,
77
+ "grad_norm": 0.5340158939361572,
78
+ "learning_rate": 0.00027,
79
+ "loss": 2.5605,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.00392349190779794,
84
+ "grad_norm": 0.469400018453598,
85
+ "learning_rate": 0.0003,
86
+ "loss": 2.5807,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.0043158410985777345,
91
+ "grad_norm": 0.40649205446243286,
92
+ "learning_rate": 0.0002999794957488703,
93
+ "loss": 2.3967,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.0047081902893575285,
98
+ "grad_norm": 0.43658336997032166,
99
+ "learning_rate": 0.0002999179886011389,
100
+ "loss": 2.3976,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.0051005394801373225,
105
+ "grad_norm": 0.5445865392684937,
106
+ "learning_rate": 0.0002998154953722457,
107
+ "loss": 2.3869,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.005492888670917117,
112
+ "grad_norm": 0.4407218098640442,
113
+ "learning_rate": 0.00029967204408281613,
114
+ "loss": 2.1568,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.005885237861696911,
119
+ "grad_norm": 0.3098980188369751,
120
+ "learning_rate": 0.00029948767395100045,
121
+ "loss": 2.1049,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.006277587052476705,
126
+ "grad_norm": 0.38185837864875793,
127
+ "learning_rate": 0.0002992624353817517,
128
+ "loss": 2.2054,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.006669936243256498,
133
+ "grad_norm": 0.3709363043308258,
134
+ "learning_rate": 0.0002989963899530457,
135
+ "loss": 2.1322,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.007062285434036292,
140
+ "grad_norm": 0.3822822570800781,
141
+ "learning_rate": 0.00029868961039904624,
142
+ "loss": 2.2528,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.007454634624816086,
147
+ "grad_norm": 0.40470457077026367,
148
+ "learning_rate": 0.00029834218059022024,
149
+ "loss": 2.1562,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.00784698381559588,
154
+ "grad_norm": 0.46746203303337097,
155
+ "learning_rate": 0.00029795419551040833,
156
+ "loss": 2.2253,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.008239333006375674,
161
+ "grad_norm": 0.5920839905738831,
162
+ "learning_rate": 0.00029752576123085736,
163
+ "loss": 2.2653,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.008631682197155469,
168
+ "grad_norm": 0.4972122609615326,
169
+ "learning_rate": 0.0002970569948812214,
170
+ "loss": 2.174,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.009024031387935262,
175
+ "grad_norm": 0.31875213980674744,
176
+ "learning_rate": 0.0002965480246175399,
177
+ "loss": 2.094,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.009416380578715057,
182
+ "grad_norm": 0.49916020035743713,
183
+ "learning_rate": 0.0002959989895872009,
184
+ "loss": 2.0421,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.00980872976949485,
189
+ "grad_norm": 0.35592731833457947,
190
+ "learning_rate": 0.0002954100398908995,
191
+ "loss": 2.0896,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.00980872976949485,
196
+ "eval_loss": 1.9814097881317139,
197
+ "eval_runtime": 4.9578,
198
+ "eval_samples_per_second": 10.085,
199
+ "eval_steps_per_second": 1.412,
200
+ "step": 25
201
+ },
202
+ {
203
+ "epoch": 0.010201078960274645,
204
+ "grad_norm": 0.5454434156417847,
205
+ "learning_rate": 0.0002947813365416023,
206
+ "loss": 2.0981,
207
+ "step": 26
208
+ },
209
+ {
210
+ "epoch": 0.010593428151054438,
211
+ "grad_norm": 0.41645103693008423,
212
+ "learning_rate": 0.0002941130514205272,
213
+ "loss": 2.006,
214
+ "step": 27
215
+ },
216
+ {
217
+ "epoch": 0.010985777341834233,
218
+ "grad_norm": 0.539344847202301,
219
+ "learning_rate": 0.0002934053672301536,
220
+ "loss": 1.9416,
221
+ "step": 28
222
+ },
223
+ {
224
+ "epoch": 0.011378126532614026,
225
+ "grad_norm": 0.408270001411438,
226
+ "learning_rate": 0.00029265847744427303,
227
+ "loss": 2.0615,
228
+ "step": 29
229
+ },
230
+ {
231
+ "epoch": 0.011770475723393821,
232
+ "grad_norm": 0.4333832263946533,
233
+ "learning_rate": 0.00029187258625509513,
234
+ "loss": 2.0464,
235
+ "step": 30
236
+ },
237
+ {
238
+ "epoch": 0.012162824914173614,
239
+ "grad_norm": 0.3659256398677826,
240
+ "learning_rate": 0.00029104790851742417,
241
+ "loss": 1.9172,
242
+ "step": 31
243
+ },
244
+ {
245
+ "epoch": 0.01255517410495341,
246
+ "grad_norm": 0.45351165533065796,
247
+ "learning_rate": 0.0002901846696899191,
248
+ "loss": 1.9599,
249
+ "step": 32
250
+ },
251
+ {
252
+ "epoch": 0.012947523295733203,
253
+ "grad_norm": 0.4614894688129425,
254
+ "learning_rate": 0.00028928310577345606,
255
+ "loss": 1.9147,
256
+ "step": 33
257
+ },
258
+ {
259
+ "epoch": 0.013339872486512996,
260
+ "grad_norm": NaN,
261
+ "learning_rate": 0.0002883434632466077,
262
+ "loss": 1.9759,
263
+ "step": 34
264
+ },
265
+ {
266
+ "epoch": 0.01373222167729279,
267
+ "grad_norm": NaN,
268
+ "learning_rate": 0.00028736599899825856,
269
+ "loss": 0.0,
270
+ "step": 35
271
+ },
272
+ {
273
+ "epoch": 0.014124570868072584,
274
+ "grad_norm": NaN,
275
+ "learning_rate": 0.00028635098025737434,
276
+ "loss": 0.0,
277
+ "step": 36
278
+ },
279
+ {
280
+ "epoch": 0.014516920058852379,
281
+ "grad_norm": NaN,
282
+ "learning_rate": 0.00028529868451994384,
283
+ "loss": 0.0,
284
+ "step": 37
285
+ },
286
+ {
287
+ "epoch": 0.014909269249632172,
288
+ "grad_norm": NaN,
289
+ "learning_rate": 0.0002842093994731145,
290
+ "loss": 0.0,
291
+ "step": 38
292
+ },
293
+ {
294
+ "epoch": 0.015301618440411967,
295
+ "grad_norm": NaN,
296
+ "learning_rate": 0.00028308342291654174,
297
+ "loss": 0.0,
298
+ "step": 39
299
+ },
300
+ {
301
+ "epoch": 0.01569396763119176,
302
+ "grad_norm": NaN,
303
+ "learning_rate": 0.00028192106268097334,
304
+ "loss": 0.0,
305
+ "step": 40
306
+ },
307
+ {
308
+ "epoch": 0.016086316821971553,
309
+ "grad_norm": NaN,
310
+ "learning_rate": 0.00028072263654409154,
311
+ "loss": 0.0,
312
+ "step": 41
313
+ },
314
+ {
315
+ "epoch": 0.016478666012751348,
316
+ "grad_norm": NaN,
317
+ "learning_rate": 0.0002794884721436361,
318
+ "loss": 0.0,
319
+ "step": 42
320
+ },
321
+ {
322
+ "epoch": 0.016871015203531143,
323
+ "grad_norm": NaN,
324
+ "learning_rate": 0.00027821890688783083,
325
+ "loss": 0.0,
326
+ "step": 43
327
+ },
328
+ {
329
+ "epoch": 0.017263364394310938,
330
+ "grad_norm": NaN,
331
+ "learning_rate": 0.0002769142878631403,
332
+ "loss": 0.0,
333
+ "step": 44
334
+ },
335
+ {
336
+ "epoch": 0.01765571358509073,
337
+ "grad_norm": NaN,
338
+ "learning_rate": 0.00027557497173937923,
339
+ "loss": 0.0,
340
+ "step": 45
341
+ },
342
+ {
343
+ "epoch": 0.018048062775870524,
344
+ "grad_norm": NaN,
345
+ "learning_rate": 0.000274201324672203,
346
+ "loss": 0.0,
347
+ "step": 46
348
+ },
349
+ {
350
+ "epoch": 0.01844041196665032,
351
+ "grad_norm": NaN,
352
+ "learning_rate": 0.00027279372220300385,
353
+ "loss": 0.0,
354
+ "step": 47
355
+ },
356
+ {
357
+ "epoch": 0.018832761157430114,
358
+ "grad_norm": NaN,
359
+ "learning_rate": 0.0002713525491562421,
360
+ "loss": 0.0,
361
+ "step": 48
362
+ },
363
+ {
364
+ "epoch": 0.019225110348209905,
365
+ "grad_norm": NaN,
366
+ "learning_rate": 0.00026987819953423867,
367
+ "loss": 0.0,
368
+ "step": 49
369
+ },
370
+ {
371
+ "epoch": 0.0196174595389897,
372
+ "grad_norm": NaN,
373
+ "learning_rate": 0.00026837107640945905,
374
+ "loss": 0.0,
375
+ "step": 50
376
+ },
377
+ {
378
+ "epoch": 0.0196174595389897,
379
+ "eval_loss": NaN,
380
+ "eval_runtime": 4.7136,
381
+ "eval_samples_per_second": 10.608,
382
+ "eval_steps_per_second": 1.485,
383
+ "step": 50
384
+ }
385
+ ],
386
+ "logging_steps": 1,
387
+ "max_steps": 200,
388
+ "num_input_tokens_seen": 0,
389
+ "num_train_epochs": 1,
390
+ "save_steps": 50,
391
+ "stateful_callbacks": {
392
+ "EarlyStoppingCallback": {
393
+ "args": {
394
+ "early_stopping_patience": 1,
395
+ "early_stopping_threshold": 0.0
396
+ },
397
+ "attributes": {
398
+ "early_stopping_patience_counter": 0
399
+ }
400
+ },
401
+ "TrainerControl": {
402
+ "args": {
403
+ "should_epoch_stop": false,
404
+ "should_evaluate": false,
405
+ "should_log": false,
406
+ "should_save": true,
407
+ "should_training_stop": false
408
+ },
409
+ "attributes": {}
410
+ }
411
+ },
412
+ "total_flos": 4.877552082065818e+16,
413
+ "train_batch_size": 8,
414
+ "trial_name": null,
415
+ "trial_params": null
416
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9336880b19cca6b33be2ff3ed8ad9220cc8913f67124b4ecc32b07f7bc21b12b
3
+ size 6840
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff