diaenra commited on
Commit
42486c8
·
verified ·
1 Parent(s): 879fff3

Training in progress, epoch 0, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: katuni4ka/tiny-random-olmo-hf
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": "katuni4ka/tiny-random-olmo-hf",
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": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "q_proj",
24
+ "o_proj",
25
+ "v_proj",
26
+ "up_proj",
27
+ "k_proj",
28
+ "down_proj",
29
+ "gate_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 sha256:4d28ac96260ae2a6cf65ad8641e6d48243b65401e32c33eab1742e86adbc5c92
3
+ size 315888
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a7c03caa6ec27a6f73ce237b5cf271d795b44285cb514bb52d23d14a4b8a1ca
3
+ size 648522
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:586828fa3e2cb15a58da7e28bb8a0982c981adafa1537bd938535b45f69a0278
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:321880767d0a20ffe7202eaf538e97cbcbb29b9663e8d5355a6dbafc2eeacd61
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "eos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "pad_token": {
10
+ "content": "[PAD]",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ }
16
+ }
last-checkpoint/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,247 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": false,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "|||IP_ADDRESS|||",
8
+ "lstrip": false,
9
+ "normalized": true,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": false
13
+ },
14
+ "1": {
15
+ "content": "<|padding|>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "50254": {
23
+ "content": " ",
24
+ "lstrip": false,
25
+ "normalized": true,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": false
29
+ },
30
+ "50255": {
31
+ "content": " ",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": false
37
+ },
38
+ "50256": {
39
+ "content": " ",
40
+ "lstrip": false,
41
+ "normalized": true,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": false
45
+ },
46
+ "50257": {
47
+ "content": " ",
48
+ "lstrip": false,
49
+ "normalized": true,
50
+ "rstrip": false,
51
+ "single_word": false,
52
+ "special": false
53
+ },
54
+ "50258": {
55
+ "content": " ",
56
+ "lstrip": false,
57
+ "normalized": true,
58
+ "rstrip": false,
59
+ "single_word": false,
60
+ "special": false
61
+ },
62
+ "50259": {
63
+ "content": " ",
64
+ "lstrip": false,
65
+ "normalized": true,
66
+ "rstrip": false,
67
+ "single_word": false,
68
+ "special": false
69
+ },
70
+ "50260": {
71
+ "content": " ",
72
+ "lstrip": false,
73
+ "normalized": true,
74
+ "rstrip": false,
75
+ "single_word": false,
76
+ "special": false
77
+ },
78
+ "50261": {
79
+ "content": " ",
80
+ "lstrip": false,
81
+ "normalized": true,
82
+ "rstrip": false,
83
+ "single_word": false,
84
+ "special": false
85
+ },
86
+ "50262": {
87
+ "content": " ",
88
+ "lstrip": false,
89
+ "normalized": true,
90
+ "rstrip": false,
91
+ "single_word": false,
92
+ "special": false
93
+ },
94
+ "50263": {
95
+ "content": " ",
96
+ "lstrip": false,
97
+ "normalized": true,
98
+ "rstrip": false,
99
+ "single_word": false,
100
+ "special": false
101
+ },
102
+ "50264": {
103
+ "content": " ",
104
+ "lstrip": false,
105
+ "normalized": true,
106
+ "rstrip": false,
107
+ "single_word": false,
108
+ "special": false
109
+ },
110
+ "50265": {
111
+ "content": " ",
112
+ "lstrip": false,
113
+ "normalized": true,
114
+ "rstrip": false,
115
+ "single_word": false,
116
+ "special": false
117
+ },
118
+ "50266": {
119
+ "content": " ",
120
+ "lstrip": false,
121
+ "normalized": true,
122
+ "rstrip": false,
123
+ "single_word": false,
124
+ "special": false
125
+ },
126
+ "50267": {
127
+ "content": " ",
128
+ "lstrip": false,
129
+ "normalized": true,
130
+ "rstrip": false,
131
+ "single_word": false,
132
+ "special": false
133
+ },
134
+ "50268": {
135
+ "content": " ",
136
+ "lstrip": false,
137
+ "normalized": true,
138
+ "rstrip": false,
139
+ "single_word": false,
140
+ "special": false
141
+ },
142
+ "50269": {
143
+ "content": " ",
144
+ "lstrip": false,
145
+ "normalized": true,
146
+ "rstrip": false,
147
+ "single_word": false,
148
+ "special": false
149
+ },
150
+ "50270": {
151
+ "content": " ",
152
+ "lstrip": false,
153
+ "normalized": true,
154
+ "rstrip": false,
155
+ "single_word": false,
156
+ "special": false
157
+ },
158
+ "50271": {
159
+ "content": " ",
160
+ "lstrip": false,
161
+ "normalized": true,
162
+ "rstrip": false,
163
+ "single_word": false,
164
+ "special": false
165
+ },
166
+ "50272": {
167
+ "content": " ",
168
+ "lstrip": false,
169
+ "normalized": true,
170
+ "rstrip": false,
171
+ "single_word": false,
172
+ "special": false
173
+ },
174
+ "50273": {
175
+ "content": " ",
176
+ "lstrip": false,
177
+ "normalized": true,
178
+ "rstrip": false,
179
+ "single_word": false,
180
+ "special": false
181
+ },
182
+ "50274": {
183
+ "content": " ",
184
+ "lstrip": false,
185
+ "normalized": true,
186
+ "rstrip": false,
187
+ "single_word": false,
188
+ "special": false
189
+ },
190
+ "50275": {
191
+ "content": " ",
192
+ "lstrip": false,
193
+ "normalized": true,
194
+ "rstrip": false,
195
+ "single_word": false,
196
+ "special": false
197
+ },
198
+ "50276": {
199
+ "content": " ",
200
+ "lstrip": false,
201
+ "normalized": true,
202
+ "rstrip": false,
203
+ "single_word": false,
204
+ "special": false
205
+ },
206
+ "50277": {
207
+ "content": "|||EMAIL_ADDRESS|||",
208
+ "lstrip": false,
209
+ "normalized": true,
210
+ "rstrip": false,
211
+ "single_word": false,
212
+ "special": false
213
+ },
214
+ "50278": {
215
+ "content": "|||PHONE_NUMBER|||",
216
+ "lstrip": false,
217
+ "normalized": true,
218
+ "rstrip": false,
219
+ "single_word": false,
220
+ "special": false
221
+ },
222
+ "50279": {
223
+ "content": "<|endoftext|>",
224
+ "lstrip": false,
225
+ "normalized": false,
226
+ "rstrip": false,
227
+ "single_word": false,
228
+ "special": true
229
+ },
230
+ "50280": {
231
+ "content": "[PAD]",
232
+ "lstrip": false,
233
+ "normalized": false,
234
+ "rstrip": false,
235
+ "single_word": false,
236
+ "special": true
237
+ }
238
+ },
239
+ "bos_token": null,
240
+ "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 %}",
241
+ "clean_up_tokenization_spaces": true,
242
+ "eos_token": "<|endoftext|>",
243
+ "model_max_length": 1000000000000000019884624838656,
244
+ "pad_token": "[PAD]",
245
+ "tokenizer_class": "GPTNeoXTokenizer",
246
+ "unk_token": null
247
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,699 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.9947089947089947,
5
+ "eval_steps": 500,
6
+ "global_step": 94,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.010582010582010581,
13
+ "grad_norm": 0.15184591710567474,
14
+ "learning_rate": 1e-05,
15
+ "loss": 10.8451,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.021164021164021163,
20
+ "grad_norm": 0.1444021612405777,
21
+ "learning_rate": 2e-05,
22
+ "loss": 10.8495,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.031746031746031744,
27
+ "grad_norm": 0.12686049938201904,
28
+ "learning_rate": 3e-05,
29
+ "loss": 10.8472,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.042328042328042326,
34
+ "grad_norm": 0.11982937902212143,
35
+ "learning_rate": 4e-05,
36
+ "loss": 10.8484,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.05291005291005291,
41
+ "grad_norm": 0.1377434879541397,
42
+ "learning_rate": 5e-05,
43
+ "loss": 10.8523,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.06349206349206349,
48
+ "grad_norm": 0.13242502510547638,
49
+ "learning_rate": 6e-05,
50
+ "loss": 10.843,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.07407407407407407,
55
+ "grad_norm": 0.12401815503835678,
56
+ "learning_rate": 7e-05,
57
+ "loss": 10.8488,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.08465608465608465,
62
+ "grad_norm": 0.13792751729488373,
63
+ "learning_rate": 8e-05,
64
+ "loss": 10.8416,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.09523809523809523,
69
+ "grad_norm": 0.13162340223789215,
70
+ "learning_rate": 9e-05,
71
+ "loss": 10.842,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.10582010582010581,
76
+ "grad_norm": 0.13254305720329285,
77
+ "learning_rate": 0.0001,
78
+ "loss": 10.8433,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.1164021164021164,
83
+ "grad_norm": 0.12940731644630432,
84
+ "learning_rate": 9.999666499017257e-05,
85
+ "loss": 10.8411,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.12698412698412698,
90
+ "grad_norm": 0.12482935190200806,
91
+ "learning_rate": 9.998666040558187e-05,
92
+ "loss": 10.8387,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.13756613756613756,
97
+ "grad_norm": 0.1289866715669632,
98
+ "learning_rate": 9.996998758084344e-05,
99
+ "loss": 10.8364,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.14814814814814814,
104
+ "grad_norm": 0.13676129281520844,
105
+ "learning_rate": 9.994664874011863e-05,
106
+ "loss": 10.844,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.15873015873015872,
111
+ "grad_norm": 0.12447760254144669,
112
+ "learning_rate": 9.991664699681799e-05,
113
+ "loss": 10.8294,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.1693121693121693,
118
+ "grad_norm": 0.13445915281772614,
119
+ "learning_rate": 9.987998635318585e-05,
120
+ "loss": 10.8285,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.17989417989417988,
125
+ "grad_norm": 0.13642500340938568,
126
+ "learning_rate": 9.98366716997665e-05,
127
+ "loss": 10.8364,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.19047619047619047,
132
+ "grad_norm": 0.16439010202884674,
133
+ "learning_rate": 9.978670881475172e-05,
134
+ "loss": 10.8395,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.20105820105820105,
139
+ "grad_norm": 0.13272134959697723,
140
+ "learning_rate": 9.973010436321005e-05,
141
+ "loss": 10.8292,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.21164021164021163,
146
+ "grad_norm": 0.13817480206489563,
147
+ "learning_rate": 9.966686589619751e-05,
148
+ "loss": 10.8342,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.2222222222222222,
153
+ "grad_norm": 0.14028826355934143,
154
+ "learning_rate": 9.95970018497505e-05,
155
+ "loss": 10.8291,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.2328042328042328,
160
+ "grad_norm": 0.15570807456970215,
161
+ "learning_rate": 9.952052154376026e-05,
162
+ "loss": 10.8301,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.24338624338624337,
167
+ "grad_norm": 0.19065511226654053,
168
+ "learning_rate": 9.94374351807297e-05,
169
+ "loss": 10.8231,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.25396825396825395,
174
+ "grad_norm": 0.1478724181652069,
175
+ "learning_rate": 9.934775384441228e-05,
176
+ "loss": 10.8329,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.26455026455026454,
181
+ "grad_norm": 0.14294123649597168,
182
+ "learning_rate": 9.925148949833355e-05,
183
+ "loss": 10.8294,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.2751322751322751,
188
+ "grad_norm": 0.13709235191345215,
189
+ "learning_rate": 9.91486549841951e-05,
190
+ "loss": 10.8186,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.2857142857142857,
195
+ "grad_norm": 0.1486971527338028,
196
+ "learning_rate": 9.903926402016153e-05,
197
+ "loss": 10.8111,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.2962962962962963,
202
+ "grad_norm": 0.1510615050792694,
203
+ "learning_rate": 9.892333119903046e-05,
204
+ "loss": 10.8215,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.30687830687830686,
209
+ "grad_norm": 0.1415850967168808,
210
+ "learning_rate": 9.880087198628578e-05,
211
+ "loss": 10.8154,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.31746031746031744,
216
+ "grad_norm": 0.1371394395828247,
217
+ "learning_rate": 9.867190271803465e-05,
218
+ "loss": 10.8263,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.328042328042328,
223
+ "grad_norm": 0.14669376611709595,
224
+ "learning_rate": 9.853644059882811e-05,
225
+ "loss": 10.8273,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.3386243386243386,
230
+ "grad_norm": 0.151437446475029,
231
+ "learning_rate": 9.839450369936613e-05,
232
+ "loss": 10.8185,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.3492063492063492,
237
+ "grad_norm": 0.15013644099235535,
238
+ "learning_rate": 9.82461109540869e-05,
239
+ "loss": 10.816,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.35978835978835977,
244
+ "grad_norm": 0.13472935557365417,
245
+ "learning_rate": 9.809128215864097e-05,
246
+ "loss": 10.8251,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.37037037037037035,
251
+ "grad_norm": 0.14929385483264923,
252
+ "learning_rate": 9.793003796725048e-05,
253
+ "loss": 10.816,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.38095238095238093,
258
+ "grad_norm": 0.13741157948970795,
259
+ "learning_rate": 9.7762399889954e-05,
260
+ "loss": 10.8155,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.3915343915343915,
265
+ "grad_norm": 0.14787937700748444,
266
+ "learning_rate": 9.758839028973692e-05,
267
+ "loss": 10.8046,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.4021164021164021,
272
+ "grad_norm": 0.15740682184696198,
273
+ "learning_rate": 9.74080323795483e-05,
274
+ "loss": 10.8063,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.4126984126984127,
279
+ "grad_norm": 0.14199665188789368,
280
+ "learning_rate": 9.722135021920426e-05,
281
+ "loss": 10.8159,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.42328042328042326,
286
+ "grad_norm": 0.1560543179512024,
287
+ "learning_rate": 9.702836871217839e-05,
288
+ "loss": 10.8004,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.43386243386243384,
293
+ "grad_norm": 0.15109054744243622,
294
+ "learning_rate": 9.682911360227958e-05,
295
+ "loss": 10.8092,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.4444444444444444,
300
+ "grad_norm": 0.14842171967029572,
301
+ "learning_rate": 9.662361147021779e-05,
302
+ "loss": 10.7969,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.455026455026455,
307
+ "grad_norm": 0.15142671763896942,
308
+ "learning_rate": 9.641188973005826e-05,
309
+ "loss": 10.8044,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.4656084656084656,
314
+ "grad_norm": 0.1637977957725525,
315
+ "learning_rate": 9.619397662556435e-05,
316
+ "loss": 10.8053,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.47619047619047616,
321
+ "grad_norm": 0.1760113537311554,
322
+ "learning_rate": 9.596990122642983e-05,
323
+ "loss": 10.7961,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.48677248677248675,
328
+ "grad_norm": 0.19414639472961426,
329
+ "learning_rate": 9.573969342440106e-05,
330
+ "loss": 10.792,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.4973544973544973,
335
+ "grad_norm": 0.17807187139987946,
336
+ "learning_rate": 9.55033839292893e-05,
337
+ "loss": 10.7988,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.5079365079365079,
342
+ "grad_norm": 0.15330158174037933,
343
+ "learning_rate": 9.526100426487409e-05,
344
+ "loss": 10.8007,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.5185185185185185,
349
+ "grad_norm": 0.14986762404441833,
350
+ "learning_rate": 9.501258676469799e-05,
351
+ "loss": 10.8059,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.5291005291005291,
356
+ "grad_norm": 0.15032872557640076,
357
+ "learning_rate": 9.475816456775313e-05,
358
+ "loss": 10.7963,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.5396825396825397,
363
+ "grad_norm": 0.15320739150047302,
364
+ "learning_rate": 9.44977716140606e-05,
365
+ "loss": 10.7961,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.5502645502645502,
370
+ "grad_norm": 0.1596822887659073,
371
+ "learning_rate": 9.423144264014277e-05,
372
+ "loss": 10.7898,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.5608465608465608,
377
+ "grad_norm": 0.15990599989891052,
378
+ "learning_rate": 9.395921317438949e-05,
379
+ "loss": 10.7878,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.5714285714285714,
384
+ "grad_norm": 0.1632925122976303,
385
+ "learning_rate": 9.368111953231848e-05,
386
+ "loss": 10.7937,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.582010582010582,
391
+ "grad_norm": 0.15481893718242645,
392
+ "learning_rate": 9.339719881173093e-05,
393
+ "loss": 10.7851,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.5925925925925926,
398
+ "grad_norm": 0.13583026826381683,
399
+ "learning_rate": 9.310748888776254e-05,
400
+ "loss": 10.7921,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.6031746031746031,
405
+ "grad_norm": 0.1494726985692978,
406
+ "learning_rate": 9.281202840783108e-05,
407
+ "loss": 10.7896,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.6137566137566137,
412
+ "grad_norm": 0.1633342057466507,
413
+ "learning_rate": 9.251085678648072e-05,
414
+ "loss": 10.7761,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.6243386243386243,
419
+ "grad_norm": 0.1558162122964859,
420
+ "learning_rate": 9.220401420012411e-05,
421
+ "loss": 10.7774,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.6349206349206349,
426
+ "grad_norm": 0.15188248455524445,
427
+ "learning_rate": 9.189154158168292e-05,
428
+ "loss": 10.7863,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.6455026455026455,
433
+ "grad_norm": 0.1540272831916809,
434
+ "learning_rate": 9.157348061512727e-05,
435
+ "loss": 10.7816,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.656084656084656,
440
+ "grad_norm": 0.14700107276439667,
441
+ "learning_rate": 9.124987372991511e-05,
442
+ "loss": 10.7696,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.6666666666666666,
447
+ "grad_norm": 0.16768917441368103,
448
+ "learning_rate": 9.092076409533218e-05,
449
+ "loss": 10.7657,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.6772486772486772,
454
+ "grad_norm": 0.1637629121541977,
455
+ "learning_rate": 9.058619561473307e-05,
456
+ "loss": 10.7605,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.6878306878306878,
461
+ "grad_norm": 0.1513640135526657,
462
+ "learning_rate": 9.02462129196846e-05,
463
+ "loss": 10.7699,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.6984126984126984,
468
+ "grad_norm": 0.1465969681739807,
469
+ "learning_rate": 8.9900861364012e-05,
470
+ "loss": 10.771,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.708994708994709,
475
+ "grad_norm": 0.1486431509256363,
476
+ "learning_rate": 8.955018701774846e-05,
477
+ "loss": 10.7742,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.7195767195767195,
482
+ "grad_norm": 0.17778757214546204,
483
+ "learning_rate": 8.919423666098969e-05,
484
+ "loss": 10.7613,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.7301587301587301,
489
+ "grad_norm": 0.172640860080719,
490
+ "learning_rate": 8.883305777765318e-05,
491
+ "loss": 10.7576,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.7407407407407407,
496
+ "grad_norm": 0.14984062314033508,
497
+ "learning_rate": 8.846669854914396e-05,
498
+ "loss": 10.7717,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.7513227513227513,
503
+ "grad_norm": 0.15748809278011322,
504
+ "learning_rate": 8.809520784792709e-05,
505
+ "loss": 10.7638,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.7619047619047619,
510
+ "grad_norm": 0.12908557057380676,
511
+ "learning_rate": 8.77186352310082e-05,
512
+ "loss": 10.7669,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.7724867724867724,
517
+ "grad_norm": 0.14902107417583466,
518
+ "learning_rate": 8.733703093332237e-05,
519
+ "loss": 10.7616,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.783068783068783,
524
+ "grad_norm": 0.13321872055530548,
525
+ "learning_rate": 8.695044586103296e-05,
526
+ "loss": 10.7746,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.7936507936507936,
531
+ "grad_norm": 0.12217468023300171,
532
+ "learning_rate": 8.655893158474055e-05,
533
+ "loss": 10.7665,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.8042328042328042,
538
+ "grad_norm": 0.138421893119812,
539
+ "learning_rate": 8.616254033260351e-05,
540
+ "loss": 10.7685,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.8148148148148148,
545
+ "grad_norm": 0.15046954154968262,
546
+ "learning_rate": 8.576132498337068e-05,
547
+ "loss": 10.7556,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.8253968253968254,
552
+ "grad_norm": 0.13696914911270142,
553
+ "learning_rate": 8.535533905932738e-05,
554
+ "loss": 10.7609,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.8359788359788359,
559
+ "grad_norm": 0.1344854235649109,
560
+ "learning_rate": 8.494463671915547e-05,
561
+ "loss": 10.7543,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.8465608465608465,
566
+ "grad_norm": 0.13561226427555084,
567
+ "learning_rate": 8.452927275070858e-05,
568
+ "loss": 10.7548,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.8571428571428571,
573
+ "grad_norm": 0.13678033649921417,
574
+ "learning_rate": 8.410930256370336e-05,
575
+ "loss": 10.7564,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.8677248677248677,
580
+ "grad_norm": 0.12919801473617554,
581
+ "learning_rate": 8.368478218232787e-05,
582
+ "loss": 10.7493,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.8783068783068783,
587
+ "grad_norm": 0.108885258436203,
588
+ "learning_rate": 8.325576823776784e-05,
589
+ "loss": 10.7635,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.8888888888888888,
594
+ "grad_norm": 0.1373911052942276,
595
+ "learning_rate": 8.282231796065214e-05,
596
+ "loss": 10.7532,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.8994708994708994,
601
+ "grad_norm": 0.1275387555360794,
602
+ "learning_rate": 8.23844891734181e-05,
603
+ "loss": 10.7435,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.91005291005291,
608
+ "grad_norm": 0.13758745789527893,
609
+ "learning_rate": 8.194234028259806e-05,
610
+ "loss": 10.7407,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.9206349206349206,
615
+ "grad_norm": 0.12855514883995056,
616
+ "learning_rate": 8.149593027102789e-05,
617
+ "loss": 10.7406,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.9312169312169312,
622
+ "grad_norm": 0.1377517431974411,
623
+ "learning_rate": 8.104531868997858e-05,
624
+ "loss": 10.7447,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 0.9417989417989417,
629
+ "grad_norm": 0.1041102483868599,
630
+ "learning_rate": 8.059056565121216e-05,
631
+ "loss": 10.7487,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 0.9523809523809523,
636
+ "grad_norm": 0.12848980724811554,
637
+ "learning_rate": 8.013173181896283e-05,
638
+ "loss": 10.7392,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 0.9629629629629629,
643
+ "grad_norm": 0.15677225589752197,
644
+ "learning_rate": 7.966887840184411e-05,
645
+ "loss": 10.7318,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 0.9735449735449735,
650
+ "grad_norm": 0.15663453936576843,
651
+ "learning_rate": 7.920206714468383e-05,
652
+ "loss": 10.7357,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 0.9841269841269841,
657
+ "grad_norm": 0.1426771879196167,
658
+ "learning_rate": 7.87313603202872e-05,
659
+ "loss": 10.7456,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 0.9947089947089947,
664
+ "grad_norm": 0.11514159291982651,
665
+ "learning_rate": 7.82568207211296e-05,
666
+ "loss": 10.7402,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 0.9947089947089947,
671
+ "eval_loss": 10.736422538757324,
672
+ "eval_runtime": 0.4445,
673
+ "eval_samples_per_second": 359.96,
674
+ "eval_steps_per_second": 89.99,
675
+ "step": 94
676
+ }
677
+ ],
678
+ "logging_steps": 1,
679
+ "max_steps": 282,
680
+ "num_input_tokens_seen": 0,
681
+ "num_train_epochs": 3,
682
+ "save_steps": 500,
683
+ "stateful_callbacks": {
684
+ "TrainerControl": {
685
+ "args": {
686
+ "should_epoch_stop": false,
687
+ "should_evaluate": false,
688
+ "should_log": false,
689
+ "should_save": true,
690
+ "should_training_stop": false
691
+ },
692
+ "attributes": {}
693
+ }
694
+ },
695
+ "total_flos": 63331911598080.0,
696
+ "train_batch_size": 4,
697
+ "trial_name": null,
698
+ "trial_params": null
699
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b04aaa5d7de554b6ab56a819e77b932045a3e86ebcb996e3e05eafc230b283b0
3
+ size 6776