faridlazuarda commited on
Commit
adc1f96
1 Parent(s): 3ad0c61

Replace with latest checkpoint files

Browse files
README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: meta-llama/Llama-2-7b-chat-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 0.10.0
adapter_config.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 16,
14
+ "lora_dropout": 0.1,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "q_proj",
24
+ "v_proj"
25
+ ],
26
+ "task_type": "CAUSAL_LM",
27
+ "use_dora": false,
28
+ "use_rslora": false
29
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8de3f1be2e5f3bb63f887bc15afd2e35c8a588cd1428dacf5c050967661ea37c
3
+ size 134235048
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:82470981f31f4b5a9ec41678bf7cb32f73451c7d7c7396dd0188b6d11d2aa632
3
+ size 268515002
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:15589cf30ca7a5c8e075e9c35e80db4888afbfcecc022fac8b63ce686b1f9b8f
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:63eb06e12174e4b2f92f6537cab5ba2dff7b98defaece3a64b5c306232cb8bfc
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "</s>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "bos_token": "<s>",
32
+ "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}",
33
+ "clean_up_tokenization_spaces": false,
34
+ "eos_token": "</s>",
35
+ "legacy": false,
36
+ "model_max_length": 1000000000000000019884624838656,
37
+ "pad_token": "</s>",
38
+ "padding_side": "right",
39
+ "sp_model_kwargs": {},
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }
trainer_state.json ADDED
@@ -0,0 +1,495 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 6.0,
5
+ "eval_steps": 500,
6
+ "global_step": 16506,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09087604507451835,
13
+ "grad_norm": 0.4355389475822449,
14
+ "learning_rate": 0.0002,
15
+ "loss": 0.8037,
16
+ "step": 250
17
+ },
18
+ {
19
+ "epoch": 0.1817520901490367,
20
+ "grad_norm": 0.3333398103713989,
21
+ "learning_rate": 0.0002,
22
+ "loss": 0.472,
23
+ "step": 500
24
+ },
25
+ {
26
+ "epoch": 0.27262813522355506,
27
+ "grad_norm": 0.4328073561191559,
28
+ "learning_rate": 0.0002,
29
+ "loss": 0.3581,
30
+ "step": 750
31
+ },
32
+ {
33
+ "epoch": 0.3635041802980734,
34
+ "grad_norm": 0.5728178024291992,
35
+ "learning_rate": 0.0002,
36
+ "loss": 0.29,
37
+ "step": 1000
38
+ },
39
+ {
40
+ "epoch": 0.45438022537259176,
41
+ "grad_norm": 0.7130202054977417,
42
+ "learning_rate": 0.0002,
43
+ "loss": 0.2542,
44
+ "step": 1250
45
+ },
46
+ {
47
+ "epoch": 0.5452562704471101,
48
+ "grad_norm": 0.4695929288864136,
49
+ "learning_rate": 0.0002,
50
+ "loss": 0.2186,
51
+ "step": 1500
52
+ },
53
+ {
54
+ "epoch": 0.6361323155216285,
55
+ "grad_norm": 0.5198377966880798,
56
+ "learning_rate": 0.0002,
57
+ "loss": 0.2042,
58
+ "step": 1750
59
+ },
60
+ {
61
+ "epoch": 0.7270083605961468,
62
+ "grad_norm": 0.4845351278781891,
63
+ "learning_rate": 0.0002,
64
+ "loss": 0.1857,
65
+ "step": 2000
66
+ },
67
+ {
68
+ "epoch": 0.8178844056706652,
69
+ "grad_norm": 0.3002346456050873,
70
+ "learning_rate": 0.0002,
71
+ "loss": 0.1727,
72
+ "step": 2250
73
+ },
74
+ {
75
+ "epoch": 0.9087604507451835,
76
+ "grad_norm": 0.3961799740791321,
77
+ "learning_rate": 0.0002,
78
+ "loss": 0.1647,
79
+ "step": 2500
80
+ },
81
+ {
82
+ "epoch": 0.9996364958197019,
83
+ "grad_norm": 0.19754305481910706,
84
+ "learning_rate": 0.0002,
85
+ "loss": 0.1561,
86
+ "step": 2750
87
+ },
88
+ {
89
+ "epoch": 1.0905125408942202,
90
+ "grad_norm": 0.4301386773586273,
91
+ "learning_rate": 0.0002,
92
+ "loss": 0.1478,
93
+ "step": 3000
94
+ },
95
+ {
96
+ "epoch": 1.1813885859687385,
97
+ "grad_norm": 0.33132612705230713,
98
+ "learning_rate": 0.0002,
99
+ "loss": 0.1451,
100
+ "step": 3250
101
+ },
102
+ {
103
+ "epoch": 1.272264631043257,
104
+ "grad_norm": 0.2488761842250824,
105
+ "learning_rate": 0.0002,
106
+ "loss": 0.1445,
107
+ "step": 3500
108
+ },
109
+ {
110
+ "epoch": 1.3631406761177753,
111
+ "grad_norm": 0.16658537089824677,
112
+ "learning_rate": 0.0002,
113
+ "loss": 0.1403,
114
+ "step": 3750
115
+ },
116
+ {
117
+ "epoch": 1.4540167211922936,
118
+ "grad_norm": 0.1872565895318985,
119
+ "learning_rate": 0.0002,
120
+ "loss": 0.1365,
121
+ "step": 4000
122
+ },
123
+ {
124
+ "epoch": 1.5448927662668122,
125
+ "grad_norm": 0.1460885852575302,
126
+ "learning_rate": 0.0002,
127
+ "loss": 0.1344,
128
+ "step": 4250
129
+ },
130
+ {
131
+ "epoch": 1.6357688113413305,
132
+ "grad_norm": 0.35161587595939636,
133
+ "learning_rate": 0.0002,
134
+ "loss": 0.134,
135
+ "step": 4500
136
+ },
137
+ {
138
+ "epoch": 1.7266448564158487,
139
+ "grad_norm": 0.2876887917518616,
140
+ "learning_rate": 0.0002,
141
+ "loss": 0.1332,
142
+ "step": 4750
143
+ },
144
+ {
145
+ "epoch": 1.8175209014903673,
146
+ "grad_norm": 0.18391716480255127,
147
+ "learning_rate": 0.0002,
148
+ "loss": 0.1312,
149
+ "step": 5000
150
+ },
151
+ {
152
+ "epoch": 1.9083969465648853,
153
+ "grad_norm": 0.18932031095027924,
154
+ "learning_rate": 0.0002,
155
+ "loss": 0.1306,
156
+ "step": 5250
157
+ },
158
+ {
159
+ "epoch": 1.9992729916394039,
160
+ "grad_norm": 0.2454090714454651,
161
+ "learning_rate": 0.0002,
162
+ "loss": 0.1291,
163
+ "step": 5500
164
+ },
165
+ {
166
+ "epoch": 2.0901490367139224,
167
+ "grad_norm": 0.15890659391880035,
168
+ "learning_rate": 0.0002,
169
+ "loss": 0.1241,
170
+ "step": 5750
171
+ },
172
+ {
173
+ "epoch": 2.1810250817884405,
174
+ "grad_norm": 0.13456985354423523,
175
+ "learning_rate": 0.0002,
176
+ "loss": 0.1255,
177
+ "step": 6000
178
+ },
179
+ {
180
+ "epoch": 2.271901126862959,
181
+ "grad_norm": 0.18098081648349762,
182
+ "learning_rate": 0.0002,
183
+ "loss": 0.1249,
184
+ "step": 6250
185
+ },
186
+ {
187
+ "epoch": 2.362777171937477,
188
+ "grad_norm": 0.21501798927783966,
189
+ "learning_rate": 0.0002,
190
+ "loss": 0.1272,
191
+ "step": 6500
192
+ },
193
+ {
194
+ "epoch": 2.4536532170119956,
195
+ "grad_norm": 0.10344691574573517,
196
+ "learning_rate": 0.0002,
197
+ "loss": 0.1266,
198
+ "step": 6750
199
+ },
200
+ {
201
+ "epoch": 2.544529262086514,
202
+ "grad_norm": 0.16723701357841492,
203
+ "learning_rate": 0.0002,
204
+ "loss": 0.1265,
205
+ "step": 7000
206
+ },
207
+ {
208
+ "epoch": 2.635405307161032,
209
+ "grad_norm": 0.15142661333084106,
210
+ "learning_rate": 0.0002,
211
+ "loss": 0.1253,
212
+ "step": 7250
213
+ },
214
+ {
215
+ "epoch": 2.7262813522355507,
216
+ "grad_norm": 0.18276916444301605,
217
+ "learning_rate": 0.0002,
218
+ "loss": 0.1247,
219
+ "step": 7500
220
+ },
221
+ {
222
+ "epoch": 2.817157397310069,
223
+ "grad_norm": 0.10605284571647644,
224
+ "learning_rate": 0.0002,
225
+ "loss": 0.125,
226
+ "step": 7750
227
+ },
228
+ {
229
+ "epoch": 2.9080334423845873,
230
+ "grad_norm": 0.13421468436717987,
231
+ "learning_rate": 0.0002,
232
+ "loss": 0.1235,
233
+ "step": 8000
234
+ },
235
+ {
236
+ "epoch": 2.998909487459106,
237
+ "grad_norm": 0.117579385638237,
238
+ "learning_rate": 0.0002,
239
+ "loss": 0.1216,
240
+ "step": 8250
241
+ },
242
+ {
243
+ "epoch": 3.0897855325336243,
244
+ "grad_norm": 0.09406478703022003,
245
+ "learning_rate": 0.0002,
246
+ "loss": 0.1208,
247
+ "step": 8500
248
+ },
249
+ {
250
+ "epoch": 3.1806615776081424,
251
+ "grad_norm": 0.13346560299396515,
252
+ "learning_rate": 0.0002,
253
+ "loss": 0.1211,
254
+ "step": 8750
255
+ },
256
+ {
257
+ "epoch": 3.271537622682661,
258
+ "grad_norm": 0.2320273071527481,
259
+ "learning_rate": 0.0002,
260
+ "loss": 0.1199,
261
+ "step": 9000
262
+ },
263
+ {
264
+ "epoch": 3.3624136677571794,
265
+ "grad_norm": 0.1322121024131775,
266
+ "learning_rate": 0.0002,
267
+ "loss": 0.1206,
268
+ "step": 9250
269
+ },
270
+ {
271
+ "epoch": 3.4532897128316975,
272
+ "grad_norm": 0.12291130423545837,
273
+ "learning_rate": 0.0002,
274
+ "loss": 0.1203,
275
+ "step": 9500
276
+ },
277
+ {
278
+ "epoch": 3.544165757906216,
279
+ "grad_norm": 0.1050431877374649,
280
+ "learning_rate": 0.0002,
281
+ "loss": 0.1206,
282
+ "step": 9750
283
+ },
284
+ {
285
+ "epoch": 3.6350418029807345,
286
+ "grad_norm": 0.10830684006214142,
287
+ "learning_rate": 0.0002,
288
+ "loss": 0.1204,
289
+ "step": 10000
290
+ },
291
+ {
292
+ "epoch": 3.7259178480552526,
293
+ "grad_norm": 0.16537795960903168,
294
+ "learning_rate": 0.0002,
295
+ "loss": 0.1214,
296
+ "step": 10250
297
+ },
298
+ {
299
+ "epoch": 3.816793893129771,
300
+ "grad_norm": 0.13683146238327026,
301
+ "learning_rate": 0.0002,
302
+ "loss": 0.1231,
303
+ "step": 10500
304
+ },
305
+ {
306
+ "epoch": 3.907669938204289,
307
+ "grad_norm": 0.10453382879495621,
308
+ "learning_rate": 0.0002,
309
+ "loss": 0.1193,
310
+ "step": 10750
311
+ },
312
+ {
313
+ "epoch": 3.9985459832788077,
314
+ "grad_norm": 0.08612716197967529,
315
+ "learning_rate": 0.0002,
316
+ "loss": 0.1191,
317
+ "step": 11000
318
+ },
319
+ {
320
+ "epoch": 4.089422028353326,
321
+ "grad_norm": 0.08494025468826294,
322
+ "learning_rate": 0.0002,
323
+ "loss": 0.1171,
324
+ "step": 11250
325
+ },
326
+ {
327
+ "epoch": 4.180298073427845,
328
+ "grad_norm": 0.05780186131596565,
329
+ "learning_rate": 0.0002,
330
+ "loss": 0.1172,
331
+ "step": 11500
332
+ },
333
+ {
334
+ "epoch": 4.271174118502363,
335
+ "grad_norm": 0.10587610304355621,
336
+ "learning_rate": 0.0002,
337
+ "loss": 0.1189,
338
+ "step": 11750
339
+ },
340
+ {
341
+ "epoch": 4.362050163576881,
342
+ "grad_norm": 0.09237153828144073,
343
+ "learning_rate": 0.0002,
344
+ "loss": 0.1178,
345
+ "step": 12000
346
+ },
347
+ {
348
+ "epoch": 4.4529262086514,
349
+ "grad_norm": 0.22916856408119202,
350
+ "learning_rate": 0.0002,
351
+ "loss": 0.1191,
352
+ "step": 12250
353
+ },
354
+ {
355
+ "epoch": 4.543802253725918,
356
+ "grad_norm": 0.12149995565414429,
357
+ "learning_rate": 0.0002,
358
+ "loss": 0.118,
359
+ "step": 12500
360
+ },
361
+ {
362
+ "epoch": 4.634678298800436,
363
+ "grad_norm": 0.10446422547101974,
364
+ "learning_rate": 0.0002,
365
+ "loss": 0.1187,
366
+ "step": 12750
367
+ },
368
+ {
369
+ "epoch": 4.725554343874954,
370
+ "grad_norm": 0.09491357207298279,
371
+ "learning_rate": 0.0002,
372
+ "loss": 0.1181,
373
+ "step": 13000
374
+ },
375
+ {
376
+ "epoch": 4.816430388949473,
377
+ "grad_norm": 0.15105749666690826,
378
+ "learning_rate": 0.0002,
379
+ "loss": 0.1192,
380
+ "step": 13250
381
+ },
382
+ {
383
+ "epoch": 4.907306434023991,
384
+ "grad_norm": 0.11921977251768112,
385
+ "learning_rate": 0.0002,
386
+ "loss": 0.1168,
387
+ "step": 13500
388
+ },
389
+ {
390
+ "epoch": 4.99818247909851,
391
+ "grad_norm": 0.07625231146812439,
392
+ "learning_rate": 0.0002,
393
+ "loss": 0.1172,
394
+ "step": 13750
395
+ },
396
+ {
397
+ "epoch": 5.089058524173028,
398
+ "grad_norm": 0.09381510317325592,
399
+ "learning_rate": 0.0002,
400
+ "loss": 0.1151,
401
+ "step": 14000
402
+ },
403
+ {
404
+ "epoch": 5.179934569247546,
405
+ "grad_norm": 0.08833180367946625,
406
+ "learning_rate": 0.0002,
407
+ "loss": 0.1156,
408
+ "step": 14250
409
+ },
410
+ {
411
+ "epoch": 5.270810614322064,
412
+ "grad_norm": 0.08934313803911209,
413
+ "learning_rate": 0.0002,
414
+ "loss": 0.1164,
415
+ "step": 14500
416
+ },
417
+ {
418
+ "epoch": 5.361686659396583,
419
+ "grad_norm": 0.08423677831888199,
420
+ "learning_rate": 0.0002,
421
+ "loss": 0.1162,
422
+ "step": 14750
423
+ },
424
+ {
425
+ "epoch": 5.452562704471101,
426
+ "grad_norm": 0.08956829458475113,
427
+ "learning_rate": 0.0002,
428
+ "loss": 0.1147,
429
+ "step": 15000
430
+ },
431
+ {
432
+ "epoch": 5.543438749545619,
433
+ "grad_norm": 0.07213614135980606,
434
+ "learning_rate": 0.0002,
435
+ "loss": 0.1166,
436
+ "step": 15250
437
+ },
438
+ {
439
+ "epoch": 5.634314794620138,
440
+ "grad_norm": 0.24475565552711487,
441
+ "learning_rate": 0.0002,
442
+ "loss": 0.1172,
443
+ "step": 15500
444
+ },
445
+ {
446
+ "epoch": 5.7251908396946565,
447
+ "grad_norm": 0.10199423879384995,
448
+ "learning_rate": 0.0002,
449
+ "loss": 0.1171,
450
+ "step": 15750
451
+ },
452
+ {
453
+ "epoch": 5.8160668847691745,
454
+ "grad_norm": 0.2594470679759979,
455
+ "learning_rate": 0.0002,
456
+ "loss": 0.1165,
457
+ "step": 16000
458
+ },
459
+ {
460
+ "epoch": 5.9069429298436935,
461
+ "grad_norm": 0.08738715201616287,
462
+ "learning_rate": 0.0002,
463
+ "loss": 0.115,
464
+ "step": 16250
465
+ },
466
+ {
467
+ "epoch": 5.997818974918212,
468
+ "grad_norm": 0.07172822952270508,
469
+ "learning_rate": 0.0002,
470
+ "loss": 0.1153,
471
+ "step": 16500
472
+ }
473
+ ],
474
+ "logging_steps": 250,
475
+ "max_steps": 16506,
476
+ "num_input_tokens_seen": 0,
477
+ "num_train_epochs": 6,
478
+ "save_steps": 250,
479
+ "stateful_callbacks": {
480
+ "TrainerControl": {
481
+ "args": {
482
+ "should_epoch_stop": false,
483
+ "should_evaluate": false,
484
+ "should_log": false,
485
+ "should_save": true,
486
+ "should_training_stop": true
487
+ },
488
+ "attributes": {}
489
+ }
490
+ },
491
+ "total_flos": 2.0312668928252314e+17,
492
+ "train_batch_size": 4,
493
+ "trial_name": null,
494
+ "trial_params": null
495
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:19d7890501ac6ba97440c314d04b996476238020044144d05b2508cfae53e9ec
3
+ size 5688