zeronamoni commited on
Commit
8dcc652
·
verified ·
1 Parent(s): 29f23f7

Upload folder using huggingface_hub

Browse files
experiment/adapters/rmft/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: EleutherAI/pythia-160m
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 0.11.1
experiment/adapters/rmft/adapter_config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "EleutherAI/pythia-160m",
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": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "query_key_value"
24
+ ],
25
+ "task_type": "CAUSAL_LM",
26
+ "use_dora": false,
27
+ "use_rslora": false
28
+ }
experiment/adapters/rmft/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:350a0221af8136a7fb59d80170c4135506624f7af697061b7931ffabd43db420
3
+ size 1183064
experiment/adapters/rmft/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": "<|endoftext|>",
17
+ "unk_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
experiment/adapters/rmft/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
experiment/adapters/rmft/tokenizer_config.json ADDED
@@ -0,0 +1,214 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": false,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
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
+ },
207
+ "bos_token": "<|endoftext|>",
208
+ "clean_up_tokenization_spaces": true,
209
+ "eos_token": "<|endoftext|>",
210
+ "model_max_length": 1000000000000000019884624838656,
211
+ "pad_token": "<|endoftext|>",
212
+ "tokenizer_class": "GPTNeoXTokenizer",
213
+ "unk_token": "<|endoftext|>"
214
+ }
experiment/adapters/rmft/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3fd558b4eec356985103820c7ceb522616250ec3042128888bdcd5fbb26fbedb
3
+ size 5112
experiment/adapters/rmft/training_metadata.json ADDED
@@ -0,0 +1,585 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "method": "rmft",
3
+ "model_name": "EleutherAI/pythia-160m",
4
+ "train_samples": 4799,
5
+ "validation_samples": 599,
6
+ "batches_seen": 12375,
7
+ "masked_token_ratio": 0.14994983782590895,
8
+ "skipped_samples": 0,
9
+ "log_history": [
10
+ {
11
+ "loss": 2.7552,
12
+ "grad_norm": 1.0823794603347778,
13
+ "learning_rate": 2e-05,
14
+ "epoch": 0.06666666666666667,
15
+ "step": 10
16
+ },
17
+ {
18
+ "loss": 2.6983,
19
+ "grad_norm": 0.9608964920043945,
20
+ "learning_rate": 4e-05,
21
+ "epoch": 0.13333333333333333,
22
+ "step": 20
23
+ },
24
+ {
25
+ "loss": 2.6843,
26
+ "grad_norm": 0.9745031595230103,
27
+ "learning_rate": 6e-05,
28
+ "epoch": 0.2,
29
+ "step": 30
30
+ },
31
+ {
32
+ "loss": 2.7944,
33
+ "grad_norm": 1.0781015157699585,
34
+ "learning_rate": 8e-05,
35
+ "epoch": 0.26666666666666666,
36
+ "step": 40
37
+ },
38
+ {
39
+ "loss": 2.6711,
40
+ "grad_norm": 1.1792235374450684,
41
+ "learning_rate": 0.0001,
42
+ "epoch": 0.3333333333333333,
43
+ "step": 50
44
+ },
45
+ {
46
+ "loss": 2.6409,
47
+ "grad_norm": 1.6941765546798706,
48
+ "learning_rate": 0.00012,
49
+ "epoch": 0.4,
50
+ "step": 60
51
+ },
52
+ {
53
+ "loss": 2.6422,
54
+ "grad_norm": 1.011501669883728,
55
+ "learning_rate": 0.00014,
56
+ "epoch": 0.4666666666666667,
57
+ "step": 70
58
+ },
59
+ {
60
+ "loss": 2.655,
61
+ "grad_norm": 1.1399949789047241,
62
+ "learning_rate": 0.00016,
63
+ "epoch": 0.5333333333333333,
64
+ "step": 80
65
+ },
66
+ {
67
+ "loss": 2.6691,
68
+ "grad_norm": 1.5286301374435425,
69
+ "learning_rate": 0.00018,
70
+ "epoch": 0.6,
71
+ "step": 90
72
+ },
73
+ {
74
+ "loss": 2.7092,
75
+ "grad_norm": 0.9922551512718201,
76
+ "learning_rate": 0.0002,
77
+ "epoch": 0.6666666666666666,
78
+ "step": 100
79
+ },
80
+ {
81
+ "loss": 2.7121,
82
+ "grad_norm": 1.010247826576233,
83
+ "learning_rate": 0.00019692307692307696,
84
+ "epoch": 0.7333333333333333,
85
+ "step": 110
86
+ },
87
+ {
88
+ "loss": 2.6293,
89
+ "grad_norm": 1.0366889238357544,
90
+ "learning_rate": 0.00019384615384615385,
91
+ "epoch": 0.8,
92
+ "step": 120
93
+ },
94
+ {
95
+ "loss": 2.7002,
96
+ "grad_norm": 0.9185057878494263,
97
+ "learning_rate": 0.0001907692307692308,
98
+ "epoch": 0.8666666666666667,
99
+ "step": 130
100
+ },
101
+ {
102
+ "loss": 2.6064,
103
+ "grad_norm": 1.179173469543457,
104
+ "learning_rate": 0.0001876923076923077,
105
+ "epoch": 0.9333333333333333,
106
+ "step": 140
107
+ },
108
+ {
109
+ "loss": 2.6188,
110
+ "grad_norm": 0.9263139367103577,
111
+ "learning_rate": 0.00018461538461538463,
112
+ "epoch": 1.0,
113
+ "step": 150
114
+ },
115
+ {
116
+ "eval_loss": 2.6337876319885254,
117
+ "eval_runtime": 7.5119,
118
+ "eval_samples_per_second": 79.741,
119
+ "eval_steps_per_second": 9.984,
120
+ "epoch": 1.0,
121
+ "step": 150
122
+ },
123
+ {
124
+ "loss": 2.6544,
125
+ "grad_norm": 0.9955130815505981,
126
+ "learning_rate": 0.00018153846153846155,
127
+ "epoch": 1.0666666666666667,
128
+ "step": 160
129
+ },
130
+ {
131
+ "loss": 2.5858,
132
+ "grad_norm": 1.0158054828643799,
133
+ "learning_rate": 0.00017846153846153847,
134
+ "epoch": 1.1333333333333333,
135
+ "step": 170
136
+ },
137
+ {
138
+ "loss": 2.5605,
139
+ "grad_norm": 1.0236505270004272,
140
+ "learning_rate": 0.0001753846153846154,
141
+ "epoch": 1.2,
142
+ "step": 180
143
+ },
144
+ {
145
+ "loss": 2.6982,
146
+ "grad_norm": 0.9611760377883911,
147
+ "learning_rate": 0.00017230769230769234,
148
+ "epoch": 1.2666666666666666,
149
+ "step": 190
150
+ },
151
+ {
152
+ "loss": 2.6429,
153
+ "grad_norm": 1.1758582592010498,
154
+ "learning_rate": 0.00016923076923076923,
155
+ "epoch": 1.3333333333333333,
156
+ "step": 200
157
+ },
158
+ {
159
+ "loss": 2.5483,
160
+ "grad_norm": 1.004822015762329,
161
+ "learning_rate": 0.00016615384615384617,
162
+ "epoch": 1.4,
163
+ "step": 210
164
+ },
165
+ {
166
+ "loss": 2.6308,
167
+ "grad_norm": 0.8812061548233032,
168
+ "learning_rate": 0.0001630769230769231,
169
+ "epoch": 1.4666666666666668,
170
+ "step": 220
171
+ },
172
+ {
173
+ "loss": 2.6315,
174
+ "grad_norm": 1.0901386737823486,
175
+ "learning_rate": 0.00016,
176
+ "epoch": 1.5333333333333332,
177
+ "step": 230
178
+ },
179
+ {
180
+ "loss": 2.667,
181
+ "grad_norm": 0.9653924703598022,
182
+ "learning_rate": 0.00015692307692307693,
183
+ "epoch": 1.6,
184
+ "step": 240
185
+ },
186
+ {
187
+ "loss": 2.6265,
188
+ "grad_norm": 1.309544563293457,
189
+ "learning_rate": 0.00015384615384615385,
190
+ "epoch": 1.6666666666666665,
191
+ "step": 250
192
+ },
193
+ {
194
+ "loss": 2.6724,
195
+ "grad_norm": 1.0008659362792969,
196
+ "learning_rate": 0.00015076923076923077,
197
+ "epoch": 1.7333333333333334,
198
+ "step": 260
199
+ },
200
+ {
201
+ "loss": 2.6865,
202
+ "grad_norm": 0.9268591403961182,
203
+ "learning_rate": 0.00014769230769230772,
204
+ "epoch": 1.8,
205
+ "step": 270
206
+ },
207
+ {
208
+ "loss": 2.5967,
209
+ "grad_norm": 0.9716233611106873,
210
+ "learning_rate": 0.0001446153846153846,
211
+ "epoch": 1.8666666666666667,
212
+ "step": 280
213
+ },
214
+ {
215
+ "loss": 2.6251,
216
+ "grad_norm": 0.9400352239608765,
217
+ "learning_rate": 0.00014153846153846156,
218
+ "epoch": 1.9333333333333333,
219
+ "step": 290
220
+ },
221
+ {
222
+ "loss": 2.5877,
223
+ "grad_norm": 0.9511526823043823,
224
+ "learning_rate": 0.00013846153846153847,
225
+ "epoch": 2.0,
226
+ "step": 300
227
+ },
228
+ {
229
+ "eval_loss": 2.6063592433929443,
230
+ "eval_runtime": 7.5174,
231
+ "eval_samples_per_second": 79.682,
232
+ "eval_steps_per_second": 9.977,
233
+ "epoch": 2.0,
234
+ "step": 300
235
+ },
236
+ {
237
+ "loss": 2.6473,
238
+ "grad_norm": 0.9834712147712708,
239
+ "learning_rate": 0.0001353846153846154,
240
+ "epoch": 2.066666666666667,
241
+ "step": 310
242
+ },
243
+ {
244
+ "loss": 2.5765,
245
+ "grad_norm": 0.8454016447067261,
246
+ "learning_rate": 0.0001323076923076923,
247
+ "epoch": 2.1333333333333333,
248
+ "step": 320
249
+ },
250
+ {
251
+ "loss": 2.5497,
252
+ "grad_norm": 0.88639897108078,
253
+ "learning_rate": 0.00012923076923076923,
254
+ "epoch": 2.2,
255
+ "step": 330
256
+ },
257
+ {
258
+ "loss": 2.64,
259
+ "grad_norm": 1.1036648750305176,
260
+ "learning_rate": 0.00012615384615384615,
261
+ "epoch": 2.2666666666666666,
262
+ "step": 340
263
+ },
264
+ {
265
+ "loss": 2.5318,
266
+ "grad_norm": 1.0497366189956665,
267
+ "learning_rate": 0.0001230769230769231,
268
+ "epoch": 2.3333333333333335,
269
+ "step": 350
270
+ },
271
+ {
272
+ "loss": 2.6065,
273
+ "grad_norm": 0.997850775718689,
274
+ "learning_rate": 0.00012,
275
+ "epoch": 2.4,
276
+ "step": 360
277
+ },
278
+ {
279
+ "loss": 2.6713,
280
+ "grad_norm": 1.077837347984314,
281
+ "learning_rate": 0.00011692307692307694,
282
+ "epoch": 2.466666666666667,
283
+ "step": 370
284
+ },
285
+ {
286
+ "loss": 2.5964,
287
+ "grad_norm": 0.955797553062439,
288
+ "learning_rate": 0.00011384615384615384,
289
+ "epoch": 2.533333333333333,
290
+ "step": 380
291
+ },
292
+ {
293
+ "loss": 2.6523,
294
+ "grad_norm": 0.8457085490226746,
295
+ "learning_rate": 0.00011076923076923077,
296
+ "epoch": 2.6,
297
+ "step": 390
298
+ },
299
+ {
300
+ "loss": 2.5759,
301
+ "grad_norm": 1.0808671712875366,
302
+ "learning_rate": 0.0001076923076923077,
303
+ "epoch": 2.6666666666666665,
304
+ "step": 400
305
+ },
306
+ {
307
+ "loss": 2.6125,
308
+ "grad_norm": 1.0875897407531738,
309
+ "learning_rate": 0.00010461538461538463,
310
+ "epoch": 2.7333333333333334,
311
+ "step": 410
312
+ },
313
+ {
314
+ "loss": 2.6399,
315
+ "grad_norm": 0.8935572504997253,
316
+ "learning_rate": 0.00010153846153846153,
317
+ "epoch": 2.8,
318
+ "step": 420
319
+ },
320
+ {
321
+ "loss": 2.5988,
322
+ "grad_norm": 1.1328654289245605,
323
+ "learning_rate": 9.846153846153848e-05,
324
+ "epoch": 2.8666666666666667,
325
+ "step": 430
326
+ },
327
+ {
328
+ "loss": 2.5966,
329
+ "grad_norm": 1.1522167921066284,
330
+ "learning_rate": 9.53846153846154e-05,
331
+ "epoch": 2.9333333333333336,
332
+ "step": 440
333
+ },
334
+ {
335
+ "loss": 2.6255,
336
+ "grad_norm": 0.9381677508354187,
337
+ "learning_rate": 9.230769230769232e-05,
338
+ "epoch": 3.0,
339
+ "step": 450
340
+ },
341
+ {
342
+ "eval_loss": 2.5932793617248535,
343
+ "eval_runtime": 7.5072,
344
+ "eval_samples_per_second": 79.79,
345
+ "eval_steps_per_second": 9.99,
346
+ "epoch": 3.0,
347
+ "step": 450
348
+ },
349
+ {
350
+ "loss": 2.5311,
351
+ "grad_norm": 0.9240983724594116,
352
+ "learning_rate": 8.923076923076924e-05,
353
+ "epoch": 3.066666666666667,
354
+ "step": 460
355
+ },
356
+ {
357
+ "loss": 2.6373,
358
+ "grad_norm": 0.9194068312644958,
359
+ "learning_rate": 8.615384615384617e-05,
360
+ "epoch": 3.1333333333333333,
361
+ "step": 470
362
+ },
363
+ {
364
+ "loss": 2.5596,
365
+ "grad_norm": 1.0319569110870361,
366
+ "learning_rate": 8.307692307692309e-05,
367
+ "epoch": 3.2,
368
+ "step": 480
369
+ },
370
+ {
371
+ "loss": 2.6714,
372
+ "grad_norm": 0.951770544052124,
373
+ "learning_rate": 8e-05,
374
+ "epoch": 3.2666666666666666,
375
+ "step": 490
376
+ },
377
+ {
378
+ "loss": 2.591,
379
+ "grad_norm": 1.041982650756836,
380
+ "learning_rate": 7.692307692307693e-05,
381
+ "epoch": 3.3333333333333335,
382
+ "step": 500
383
+ },
384
+ {
385
+ "loss": 2.6331,
386
+ "grad_norm": 0.841515302658081,
387
+ "learning_rate": 7.384615384615386e-05,
388
+ "epoch": 3.4,
389
+ "step": 510
390
+ },
391
+ {
392
+ "loss": 2.6107,
393
+ "grad_norm": 1.0214762687683105,
394
+ "learning_rate": 7.076923076923078e-05,
395
+ "epoch": 3.466666666666667,
396
+ "step": 520
397
+ },
398
+ {
399
+ "loss": 2.602,
400
+ "grad_norm": 1.0101308822631836,
401
+ "learning_rate": 6.76923076923077e-05,
402
+ "epoch": 3.533333333333333,
403
+ "step": 530
404
+ },
405
+ {
406
+ "loss": 2.5848,
407
+ "grad_norm": 1.0108872652053833,
408
+ "learning_rate": 6.461538461538462e-05,
409
+ "epoch": 3.6,
410
+ "step": 540
411
+ },
412
+ {
413
+ "loss": 2.6113,
414
+ "grad_norm": 0.8662316203117371,
415
+ "learning_rate": 6.153846153846155e-05,
416
+ "epoch": 3.6666666666666665,
417
+ "step": 550
418
+ },
419
+ {
420
+ "loss": 2.5327,
421
+ "grad_norm": 1.0422335863113403,
422
+ "learning_rate": 5.846153846153847e-05,
423
+ "epoch": 3.7333333333333334,
424
+ "step": 560
425
+ },
426
+ {
427
+ "loss": 2.6224,
428
+ "grad_norm": 1.1712912321090698,
429
+ "learning_rate": 5.538461538461539e-05,
430
+ "epoch": 3.8,
431
+ "step": 570
432
+ },
433
+ {
434
+ "loss": 2.5496,
435
+ "grad_norm": 1.0437134504318237,
436
+ "learning_rate": 5.230769230769231e-05,
437
+ "epoch": 3.8666666666666667,
438
+ "step": 580
439
+ },
440
+ {
441
+ "loss": 2.5634,
442
+ "grad_norm": 1.3136959075927734,
443
+ "learning_rate": 4.923076923076924e-05,
444
+ "epoch": 3.9333333333333336,
445
+ "step": 590
446
+ },
447
+ {
448
+ "loss": 2.612,
449
+ "grad_norm": 1.0888906717300415,
450
+ "learning_rate": 4.615384615384616e-05,
451
+ "epoch": 4.0,
452
+ "step": 600
453
+ },
454
+ {
455
+ "eval_loss": 2.590850591659546,
456
+ "eval_runtime": 7.4965,
457
+ "eval_samples_per_second": 79.904,
458
+ "eval_steps_per_second": 10.005,
459
+ "epoch": 4.0,
460
+ "step": 600
461
+ },
462
+ {
463
+ "loss": 2.6115,
464
+ "grad_norm": 0.8694093227386475,
465
+ "learning_rate": 4.3076923076923084e-05,
466
+ "epoch": 4.066666666666666,
467
+ "step": 610
468
+ },
469
+ {
470
+ "loss": 2.6551,
471
+ "grad_norm": 1.1008319854736328,
472
+ "learning_rate": 4e-05,
473
+ "epoch": 4.133333333333334,
474
+ "step": 620
475
+ },
476
+ {
477
+ "loss": 2.5686,
478
+ "grad_norm": 0.9342700242996216,
479
+ "learning_rate": 3.692307692307693e-05,
480
+ "epoch": 4.2,
481
+ "step": 630
482
+ },
483
+ {
484
+ "loss": 2.5452,
485
+ "grad_norm": 1.0569343566894531,
486
+ "learning_rate": 3.384615384615385e-05,
487
+ "epoch": 4.266666666666667,
488
+ "step": 640
489
+ },
490
+ {
491
+ "loss": 2.5536,
492
+ "grad_norm": 0.926317036151886,
493
+ "learning_rate": 3.0769230769230774e-05,
494
+ "epoch": 4.333333333333333,
495
+ "step": 650
496
+ },
497
+ {
498
+ "loss": 2.5586,
499
+ "grad_norm": 1.263782024383545,
500
+ "learning_rate": 2.7692307692307694e-05,
501
+ "epoch": 4.4,
502
+ "step": 660
503
+ },
504
+ {
505
+ "loss": 2.5765,
506
+ "grad_norm": 1.0703579187393188,
507
+ "learning_rate": 2.461538461538462e-05,
508
+ "epoch": 4.466666666666667,
509
+ "step": 670
510
+ },
511
+ {
512
+ "loss": 2.5535,
513
+ "grad_norm": 0.9380658864974976,
514
+ "learning_rate": 2.1538461538461542e-05,
515
+ "epoch": 4.533333333333333,
516
+ "step": 680
517
+ },
518
+ {
519
+ "loss": 2.5605,
520
+ "grad_norm": 0.8859412670135498,
521
+ "learning_rate": 1.8461538461538465e-05,
522
+ "epoch": 4.6,
523
+ "step": 690
524
+ },
525
+ {
526
+ "loss": 2.6149,
527
+ "grad_norm": 0.900065541267395,
528
+ "learning_rate": 1.5384615384615387e-05,
529
+ "epoch": 4.666666666666667,
530
+ "step": 700
531
+ },
532
+ {
533
+ "loss": 2.5722,
534
+ "grad_norm": 0.9021157026290894,
535
+ "learning_rate": 1.230769230769231e-05,
536
+ "epoch": 4.733333333333333,
537
+ "step": 710
538
+ },
539
+ {
540
+ "loss": 2.5968,
541
+ "grad_norm": 1.1193156242370605,
542
+ "learning_rate": 9.230769230769232e-06,
543
+ "epoch": 4.8,
544
+ "step": 720
545
+ },
546
+ {
547
+ "loss": 2.5686,
548
+ "grad_norm": 0.8336452841758728,
549
+ "learning_rate": 6.153846153846155e-06,
550
+ "epoch": 4.866666666666667,
551
+ "step": 730
552
+ },
553
+ {
554
+ "loss": 2.6659,
555
+ "grad_norm": 1.0344734191894531,
556
+ "learning_rate": 3.0769230769230774e-06,
557
+ "epoch": 4.933333333333334,
558
+ "step": 740
559
+ },
560
+ {
561
+ "loss": 2.57,
562
+ "grad_norm": 1.0548092126846313,
563
+ "learning_rate": 0.0,
564
+ "epoch": 5.0,
565
+ "step": 750
566
+ },
567
+ {
568
+ "eval_loss": 2.5814874172210693,
569
+ "eval_runtime": 7.5153,
570
+ "eval_samples_per_second": 79.704,
571
+ "eval_steps_per_second": 9.98,
572
+ "epoch": 5.0,
573
+ "step": 750
574
+ },
575
+ {
576
+ "train_runtime": 795.8933,
577
+ "train_samples_per_second": 30.149,
578
+ "train_steps_per_second": 0.942,
579
+ "total_flos": 9139205848725504.0,
580
+ "train_loss": 2.6187421900431316,
581
+ "epoch": 5.0,
582
+ "step": 750
583
+ }
584
+ ]
585
+ }