yamraj047 commited on
Commit
a32f32b
·
verified ·
1 Parent(s): 628841e

Upload 13 files

Browse files
README.md CHANGED
@@ -1,3 +1,207 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Mistral-7B-v0.1
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:mistralai/Mistral-7B-v0.1
7
+ - lora
8
+ - transformers
9
+ ---
10
+
11
+ # Model Card for Model ID
12
+
13
+ <!-- Provide a quick summary of what the model is/does. -->
14
+
15
+
16
+
17
+ ## Model Details
18
+
19
+ ### Model Description
20
+
21
+ <!-- Provide a longer summary of what this model is. -->
22
+
23
+
24
+
25
+ - **Developed by:** [More Information Needed]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
32
+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
36
+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
41
+ ## Uses
42
+
43
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
+
45
+ ### Direct Use
46
+
47
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ## Bias, Risks, and Limitations
64
+
65
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
+
67
+ [More Information Needed]
68
+
69
+ ### Recommendations
70
+
71
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
72
+
73
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
+
75
+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
79
+ [More Information Needed]
80
+
81
+ ## Training Details
82
+
83
+ ### Training Data
84
+
85
+ <!-- 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. -->
86
+
87
+ [More Information Needed]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
+
93
+ #### Preprocessing [optional]
94
+
95
+ [More Information Needed]
96
+
97
+
98
+ #### Training Hyperparameters
99
+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
105
+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ 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).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.17.1
adapter_config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 32,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.05,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "qalora_group_size": 16,
24
+ "r": 16,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "q_proj",
29
+ "down_proj",
30
+ "o_proj",
31
+ "v_proj",
32
+ "k_proj",
33
+ "up_proj",
34
+ "gate_proj"
35
+ ],
36
+ "target_parameters": null,
37
+ "task_type": "CAUSAL_LM",
38
+ "trainable_token_indices": null,
39
+ "use_dora": false,
40
+ "use_qalora": false,
41
+ "use_rslora": false
42
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:62a623ab4a7903b00fa1e1449fa3c28668c3280a1aa329032b35d78c47459d74
3
+ size 167832240
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eaa9cb2b2d25561618e80120ca9c10770631a57642bdcdfc25233a59adccab86
3
+ size 85733607
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9a641ee64a7e66a166dda1f776456c25c127c42b9d58eb142b12bd030397098c
3
+ size 14645
scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:584227e194f3c31379bbb0cf9ccc9658f1b948c01142ef7597b35f5f3e33cd26
3
+ size 1383
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:836a0d36f5a27dbb838a0ad572e5ebe2bf2628e8a976768c3ff741cf32d80d34
3
+ size 1465
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:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
tokenizer_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "additional_special_tokens": [],
32
+ "bos_token": "<s>",
33
+ "clean_up_tokenization_spaces": false,
34
+ "eos_token": "</s>",
35
+ "extra_special_tokens": {},
36
+ "legacy": false,
37
+ "model_max_length": 1000000000000000019884624838656,
38
+ "pad_token": "</s>",
39
+ "sp_model_kwargs": {},
40
+ "spaces_between_special_tokens": false,
41
+ "tokenizer_class": "LlamaTokenizer",
42
+ "unk_token": "<unk>",
43
+ "use_default_system_prompt": false
44
+ }
trainer_state.json ADDED
@@ -0,0 +1,609 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 810,
3
+ "best_metric": 0.5652363896369934,
4
+ "best_model_checkpoint": "./nepal-legal-model/checkpoint-810",
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 810,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.012345679012345678,
14
+ "grad_norm": 2.151370048522949,
15
+ "learning_rate": 3.673469387755102e-05,
16
+ "loss": 1.7959,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.024691358024691357,
21
+ "grad_norm": 1.6559878587722778,
22
+ "learning_rate": 7.755102040816327e-05,
23
+ "loss": 1.1927,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.037037037037037035,
28
+ "grad_norm": 1.125174641609192,
29
+ "learning_rate": 0.00011836734693877552,
30
+ "loss": 0.9138,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.04938271604938271,
35
+ "grad_norm": 1.193498969078064,
36
+ "learning_rate": 0.00015918367346938776,
37
+ "loss": 0.8576,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.06172839506172839,
42
+ "grad_norm": 1.0680336952209473,
43
+ "learning_rate": 0.0002,
44
+ "loss": 0.7993,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.07407407407407407,
49
+ "grad_norm": 0.9959688782691956,
50
+ "learning_rate": 0.00019998000585179915,
51
+ "loss": 0.7726,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.08641975308641975,
56
+ "grad_norm": 0.9554275274276733,
57
+ "learning_rate": 0.00019992003140251584,
58
+ "loss": 0.7653,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.09876543209876543,
63
+ "grad_norm": 0.8977523446083069,
64
+ "learning_rate": 0.00019982010063491056,
65
+ "loss": 0.7866,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.1111111111111111,
70
+ "grad_norm": 0.8715363144874573,
71
+ "learning_rate": 0.00019968025350959495,
72
+ "loss": 0.743,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.12345679012345678,
77
+ "grad_norm": 0.9484530091285706,
78
+ "learning_rate": 0.00019950054594905194,
79
+ "loss": 0.7463,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.13580246913580246,
84
+ "grad_norm": 0.899090588092804,
85
+ "learning_rate": 0.00019928104981527348,
86
+ "loss": 0.7249,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.14814814814814814,
91
+ "grad_norm": 0.8685264587402344,
92
+ "learning_rate": 0.0001990218528810242,
93
+ "loss": 0.7151,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.16049382716049382,
98
+ "grad_norm": 0.8665175437927246,
99
+ "learning_rate": 0.00019872305879474234,
100
+ "loss": 0.6964,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.1728395061728395,
105
+ "grad_norm": 0.8796736598014832,
106
+ "learning_rate": 0.00019838478703909282,
107
+ "loss": 0.7099,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.18518518518518517,
112
+ "grad_norm": 0.8723923563957214,
113
+ "learning_rate": 0.0001980071728831879,
114
+ "loss": 0.7037,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.19753086419753085,
119
+ "grad_norm": 0.8163822889328003,
120
+ "learning_rate": 0.0001975903673284955,
121
+ "loss": 0.6695,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.20987654320987653,
126
+ "grad_norm": 0.8660425543785095,
127
+ "learning_rate": 0.0001971345370484563,
128
+ "loss": 0.6806,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.2222222222222222,
133
+ "grad_norm": 0.854213535785675,
134
+ "learning_rate": 0.00019663986432183372,
135
+ "loss": 0.7105,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.2345679012345679,
140
+ "grad_norm": 0.8273674249649048,
141
+ "learning_rate": 0.0001961065469598239,
142
+ "loss": 0.6901,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.24691358024691357,
147
+ "grad_norm": 0.8302693963050842,
148
+ "learning_rate": 0.00019553479822695434,
149
+ "loss": 0.6962,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.25925925925925924,
154
+ "grad_norm": 0.9145434498786926,
155
+ "learning_rate": 0.000194924846755803,
156
+ "loss": 0.6889,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.2716049382716049,
161
+ "grad_norm": 0.842943012714386,
162
+ "learning_rate": 0.0001942769364555721,
163
+ "loss": 0.6856,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.2839506172839506,
168
+ "grad_norm": 0.8815113306045532,
169
+ "learning_rate": 0.0001935913264145529,
170
+ "loss": 0.6889,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.2962962962962963,
175
+ "grad_norm": 0.8023223280906677,
176
+ "learning_rate": 0.0001928682907965207,
177
+ "loss": 0.6955,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.30864197530864196,
182
+ "grad_norm": 0.7992237210273743,
183
+ "learning_rate": 0.0001921081187311016,
184
+ "loss": 0.6562,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.32098765432098764,
189
+ "grad_norm": 0.8328211903572083,
190
+ "learning_rate": 0.0001913111141981543,
191
+ "loss": 0.6513,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.3333333333333333,
196
+ "grad_norm": 0.8767305612564087,
197
+ "learning_rate": 0.00019047759590621374,
198
+ "loss": 0.6897,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.345679012345679,
203
+ "grad_norm": 0.8765648007392883,
204
+ "learning_rate": 0.000189607897165045,
205
+ "loss": 0.6516,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.35802469135802467,
210
+ "grad_norm": 1.12288498878479,
211
+ "learning_rate": 0.0001887023657523586,
212
+ "loss": 0.6391,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.37037037037037035,
217
+ "grad_norm": 0.8884546756744385,
218
+ "learning_rate": 0.00018776136377473982,
219
+ "loss": 0.6613,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.38271604938271603,
224
+ "grad_norm": 0.8964736461639404,
225
+ "learning_rate": 0.00018678526752284857,
226
+ "loss": 0.6629,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.3950617283950617,
231
+ "grad_norm": 0.8375449180603027,
232
+ "learning_rate": 0.0001857744673209473,
233
+ "loss": 0.6215,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.4074074074074074,
238
+ "grad_norm": 0.9215915203094482,
239
+ "learning_rate": 0.00018472936737081672,
240
+ "loss": 0.6443,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.41975308641975306,
245
+ "grad_norm": 0.795101523399353,
246
+ "learning_rate": 0.00018365038559012265,
247
+ "loss": 0.6548,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.43209876543209874,
252
+ "grad_norm": 0.8599629402160645,
253
+ "learning_rate": 0.00018253795344529757,
254
+ "loss": 0.6382,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.4444444444444444,
259
+ "grad_norm": 0.9184603691101074,
260
+ "learning_rate": 0.0001813925157790049,
261
+ "loss": 0.6254,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.4567901234567901,
266
+ "grad_norm": 0.8265050649642944,
267
+ "learning_rate": 0.0001802145306322537,
268
+ "loss": 0.6172,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.4691358024691358,
273
+ "grad_norm": 0.9218090772628784,
274
+ "learning_rate": 0.00017900446906123603,
275
+ "loss": 0.6319,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.48148148148148145,
280
+ "grad_norm": 0.8071914315223694,
281
+ "learning_rate": 0.00017776281494895956,
282
+ "loss": 0.6195,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.49382716049382713,
287
+ "grad_norm": 0.8605950474739075,
288
+ "learning_rate": 0.00017649006481175098,
289
+ "loss": 0.6706,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.5061728395061729,
294
+ "grad_norm": 0.9902074337005615,
295
+ "learning_rate": 0.00017518672760070763,
296
+ "loss": 0.643,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.5185185185185185,
301
+ "grad_norm": 0.9705262184143066,
302
+ "learning_rate": 0.00017385332449817656,
303
+ "loss": 0.6433,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.5308641975308642,
308
+ "grad_norm": 0.8431525230407715,
309
+ "learning_rate": 0.00017249038870934262,
310
+ "loss": 0.6375,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.5432098765432098,
315
+ "grad_norm": 0.8588557243347168,
316
+ "learning_rate": 0.00017109846524900887,
317
+ "loss": 0.6143,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.5555555555555556,
322
+ "grad_norm": 0.8512520790100098,
323
+ "learning_rate": 0.00016967811072365421,
324
+ "loss": 0.6175,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.5679012345679012,
329
+ "grad_norm": 0.8612751960754395,
330
+ "learning_rate": 0.0001682298931088563,
331
+ "loss": 0.6428,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.5802469135802469,
336
+ "grad_norm": 0.8494360446929932,
337
+ "learning_rate": 0.00016675439152216747,
338
+ "loss": 0.6103,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.5925925925925926,
343
+ "grad_norm": 0.8205723166465759,
344
+ "learning_rate": 0.0001652521959915356,
345
+ "loss": 0.5897,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.6049382716049383,
350
+ "grad_norm": 0.900737464427948,
351
+ "learning_rate": 0.00016372390721936198,
352
+ "loss": 0.6038,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.6172839506172839,
357
+ "grad_norm": 0.7930091619491577,
358
+ "learning_rate": 0.00016217013634229073,
359
+ "loss": 0.6256,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.6296296296296297,
364
+ "grad_norm": 0.8809173703193665,
365
+ "learning_rate": 0.00016059150468682558,
366
+ "loss": 0.6111,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.6419753086419753,
371
+ "grad_norm": 0.8604996800422668,
372
+ "learning_rate": 0.000158988643520872,
373
+ "loss": 0.6153,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.654320987654321,
378
+ "grad_norm": 0.8070431351661682,
379
+ "learning_rate": 0.00015736219380130395,
380
+ "loss": 0.6154,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.6666666666666666,
385
+ "grad_norm": 1.0792070627212524,
386
+ "learning_rate": 0.0001557128059176561,
387
+ "loss": 0.6152,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.6790123456790124,
392
+ "grad_norm": 0.8521204590797424,
393
+ "learning_rate": 0.00015404113943204422,
394
+ "loss": 0.5986,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.691358024691358,
399
+ "grad_norm": 0.7541177272796631,
400
+ "learning_rate": 0.00015234786281541736,
401
+ "loss": 0.6048,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.7037037037037037,
406
+ "grad_norm": 0.850120484828949,
407
+ "learning_rate": 0.0001506336531802479,
408
+ "loss": 0.5929,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.7160493827160493,
413
+ "grad_norm": 0.8251618146896362,
414
+ "learning_rate": 0.0001488991960097657,
415
+ "loss": 0.6171,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.7283950617283951,
420
+ "grad_norm": 1.0346400737762451,
421
+ "learning_rate": 0.00014714518488384513,
422
+ "loss": 0.6045,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.7407407407407407,
427
+ "grad_norm": 0.829596221446991,
428
+ "learning_rate": 0.000145372321201654,
429
+ "loss": 0.5872,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.7530864197530864,
434
+ "grad_norm": 0.9026337265968323,
435
+ "learning_rate": 0.00014358131390117645,
436
+ "loss": 0.5964,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.7654320987654321,
441
+ "grad_norm": 0.8854096531867981,
442
+ "learning_rate": 0.00014177287917572031,
443
+ "loss": 0.579,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.7777777777777778,
448
+ "grad_norm": 0.7996705770492554,
449
+ "learning_rate": 0.00013994774018752387,
450
+ "loss": 0.5915,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.7901234567901234,
455
+ "grad_norm": 0.8649770021438599,
456
+ "learning_rate": 0.00013810662677857547,
457
+ "loss": 0.6079,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.8024691358024691,
462
+ "grad_norm": 0.8632396459579468,
463
+ "learning_rate": 0.00013625027517876216,
464
+ "loss": 0.5921,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.8148148148148148,
469
+ "grad_norm": 0.8673484325408936,
470
+ "learning_rate": 0.00013437942771146388,
471
+ "loss": 0.5807,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.8271604938271605,
476
+ "grad_norm": 0.8567239046096802,
477
+ "learning_rate": 0.00013249483249671117,
478
+ "loss": 0.6008,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.8395061728395061,
483
+ "grad_norm": 0.8294961452484131,
484
+ "learning_rate": 0.00013059724315202443,
485
+ "loss": 0.5972,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.8518518518518519,
490
+ "grad_norm": 0.9110690951347351,
491
+ "learning_rate": 0.0001286874184910553,
492
+ "loss": 0.5823,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.8641975308641975,
497
+ "grad_norm": 0.8697801828384399,
498
+ "learning_rate": 0.00012676612222015,
499
+ "loss": 0.5792,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.8765432098765432,
504
+ "grad_norm": 0.9493820071220398,
505
+ "learning_rate": 0.00012483412263295603,
506
+ "loss": 0.545,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.8888888888888888,
511
+ "grad_norm": 0.8390475511550903,
512
+ "learning_rate": 0.0001228921923031948,
513
+ "loss": 0.5844,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.9012345679012346,
518
+ "grad_norm": 0.8430746793746948,
519
+ "learning_rate": 0.00012094110777572256,
520
+ "loss": 0.6021,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.9135802469135802,
525
+ "grad_norm": 0.7902705073356628,
526
+ "learning_rate": 0.00011898164925600315,
527
+ "loss": 0.585,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.9259259259259259,
532
+ "grad_norm": 0.87884521484375,
533
+ "learning_rate": 0.00011701460029811733,
534
+ "loss": 0.5998,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.9382716049382716,
539
+ "grad_norm": 0.924493134021759,
540
+ "learning_rate": 0.00011504074749143269,
541
+ "loss": 0.5945,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.9506172839506173,
546
+ "grad_norm": 0.8170025944709778,
547
+ "learning_rate": 0.00011306088014606018,
548
+ "loss": 0.5814,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.9629629629629629,
553
+ "grad_norm": 0.9573339819908142,
554
+ "learning_rate": 0.00011107578997722219,
555
+ "loss": 0.577,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.9753086419753086,
560
+ "grad_norm": 0.8860905766487122,
561
+ "learning_rate": 0.00010908627078865927,
562
+ "loss": 0.5972,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.9876543209876543,
567
+ "grad_norm": 0.8376012444496155,
568
+ "learning_rate": 0.00010709311815520151,
569
+ "loss": 0.5554,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 1.0,
574
+ "grad_norm": 0.8038386106491089,
575
+ "learning_rate": 0.00010509712910463174,
576
+ "loss": 0.5622,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 1.0,
581
+ "eval_loss": 0.5652363896369934,
582
+ "eval_runtime": 496.7418,
583
+ "eval_samples_per_second": 2.899,
584
+ "eval_steps_per_second": 0.725,
585
+ "step": 810
586
+ }
587
+ ],
588
+ "logging_steps": 10,
589
+ "max_steps": 1620,
590
+ "num_input_tokens_seen": 0,
591
+ "num_train_epochs": 2,
592
+ "save_steps": 500,
593
+ "stateful_callbacks": {
594
+ "TrainerControl": {
595
+ "args": {
596
+ "should_epoch_stop": false,
597
+ "should_evaluate": false,
598
+ "should_log": false,
599
+ "should_save": true,
600
+ "should_training_stop": false
601
+ },
602
+ "attributes": {}
603
+ }
604
+ },
605
+ "total_flos": 1.4237273708455526e+17,
606
+ "train_batch_size": 4,
607
+ "trial_name": null,
608
+ "trial_params": null
609
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a3e222f8fe945373563c3adabdfb28467ea77fbe4a41ec038067ca39cfa00b27
3
+ size 5841