Romain-XV commited on
Commit
17aa385
·
verified ·
1 Parent(s): 004ad2f

Training in progress, step 168, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: katuni4ka/tiny-random-falcon-40b
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 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "katuni4ka/tiny-random-falcon-40b",
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": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 16,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "dense_4h_to_h",
24
+ "v_proj",
25
+ "q_proj",
26
+ "query_key_value",
27
+ "o_proj",
28
+ "dense",
29
+ "k_proj",
30
+ "dense_h_to_4h"
31
+ ],
32
+ "task_type": "CAUSAL_LM",
33
+ "use_dora": false,
34
+ "use_rslora": false
35
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b914dbeecc0c9bc2c7fd0b880d0667eb7bbbb51867f4d4e966c215af8e184c59
3
+ size 247944
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a19614f3193ee5ff85412aa3facb9af0831c000d471184b51a8166e0d6a34ac9
3
+ size 263088
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f6a735cb70434a51cc045a78fcdd8da34c60ed3267c20c191fc53a55b34da250
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a541d0770edbd70e2a95593cd6cc67978c3bef0cf2ab56df44b703ed047507d
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ ">>TITLE<<",
4
+ ">>ABSTRACT<<",
5
+ ">>INTRODUCTION<<",
6
+ ">>SUMMARY<<",
7
+ ">>COMMENT<<",
8
+ ">>ANSWER<<",
9
+ ">>QUESTION<<",
10
+ ">>DOMAIN<<",
11
+ ">>PREFIX<<",
12
+ ">>SUFFIX<<",
13
+ ">>MIDDLE<<"
14
+ ],
15
+ "eos_token": {
16
+ "content": "<|endoftext|>",
17
+ "lstrip": false,
18
+ "normalized": false,
19
+ "rstrip": false,
20
+ "single_word": false
21
+ },
22
+ "pad_token": {
23
+ "content": "<|endoftext|>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false
28
+ }
29
+ }
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 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": ">>TITLE<<",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": ">>ABSTRACT<<",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": ">>INTRODUCTION<<",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": ">>SUMMARY<<",
30
+ "lstrip": false,
31
+ "normalized": false,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": ">>COMMENT<<",
38
+ "lstrip": false,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "5": {
45
+ "content": ">>ANSWER<<",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "6": {
53
+ "content": ">>QUESTION<<",
54
+ "lstrip": false,
55
+ "normalized": false,
56
+ "rstrip": false,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "7": {
61
+ "content": ">>DOMAIN<<",
62
+ "lstrip": false,
63
+ "normalized": false,
64
+ "rstrip": false,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "8": {
69
+ "content": ">>PREFIX<<",
70
+ "lstrip": false,
71
+ "normalized": false,
72
+ "rstrip": false,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "9": {
77
+ "content": ">>SUFFIX<<",
78
+ "lstrip": false,
79
+ "normalized": false,
80
+ "rstrip": false,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "10": {
85
+ "content": ">>MIDDLE<<",
86
+ "lstrip": false,
87
+ "normalized": false,
88
+ "rstrip": false,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "11": {
93
+ "content": "<|endoftext|>",
94
+ "lstrip": false,
95
+ "normalized": false,
96
+ "rstrip": false,
97
+ "single_word": false,
98
+ "special": true
99
+ }
100
+ },
101
+ "additional_special_tokens": [
102
+ ">>TITLE<<",
103
+ ">>ABSTRACT<<",
104
+ ">>INTRODUCTION<<",
105
+ ">>SUMMARY<<",
106
+ ">>COMMENT<<",
107
+ ">>ANSWER<<",
108
+ ">>QUESTION<<",
109
+ ">>DOMAIN<<",
110
+ ">>PREFIX<<",
111
+ ">>SUFFIX<<",
112
+ ">>MIDDLE<<"
113
+ ],
114
+ "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 %}",
115
+ "clean_up_tokenization_spaces": false,
116
+ "eos_token": "<|endoftext|>",
117
+ "model_input_names": [
118
+ "input_ids",
119
+ "attention_mask"
120
+ ],
121
+ "model_max_length": 2048,
122
+ "pad_token": "<|endoftext|>",
123
+ "tokenizer_class": "PreTrainedTokenizerFast"
124
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,1250 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 10.678417205810547,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-100",
4
+ "epoch": 1.0041014168530946,
5
+ "eval_steps": 50,
6
+ "global_step": 168,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.005965697240865026,
13
+ "grad_norm": 5.887783527374268,
14
+ "learning_rate": 2e-05,
15
+ "loss": 178.1143,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.005965697240865026,
20
+ "eval_loss": 11.129987716674805,
21
+ "eval_runtime": 2.6271,
22
+ "eval_samples_per_second": 215.067,
23
+ "eval_steps_per_second": 54.052,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.011931394481730051,
28
+ "grad_norm": 5.787734508514404,
29
+ "learning_rate": 4e-05,
30
+ "loss": 178.0258,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.017897091722595078,
35
+ "grad_norm": 5.7777533531188965,
36
+ "learning_rate": 6e-05,
37
+ "loss": 178.0531,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.023862788963460103,
42
+ "grad_norm": 5.76037073135376,
43
+ "learning_rate": 8e-05,
44
+ "loss": 178.0116,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.02982848620432513,
49
+ "grad_norm": 6.167990207672119,
50
+ "learning_rate": 0.0001,
51
+ "loss": 178.0245,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.035794183445190156,
56
+ "grad_norm": 6.085980415344238,
57
+ "learning_rate": 0.00012,
58
+ "loss": 178.0213,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.041759880686055184,
63
+ "grad_norm": 6.387048244476318,
64
+ "learning_rate": 0.00014,
65
+ "loss": 177.9288,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.047725577926920205,
70
+ "grad_norm": 6.12922477722168,
71
+ "learning_rate": 0.00016,
72
+ "loss": 177.7735,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.053691275167785234,
77
+ "grad_norm": 6.546885013580322,
78
+ "learning_rate": 0.00018,
79
+ "loss": 177.8062,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.05965697240865026,
84
+ "grad_norm": 6.3454742431640625,
85
+ "learning_rate": 0.0002,
86
+ "loss": 177.5904,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.06562266964951528,
91
+ "grad_norm": 6.642423629760742,
92
+ "learning_rate": 0.00019998023297700658,
93
+ "loss": 177.4392,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.07158836689038031,
98
+ "grad_norm": 6.724740028381348,
99
+ "learning_rate": 0.00019992093972273018,
100
+ "loss": 177.2035,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.07755406413124534,
105
+ "grad_norm": 7.232553005218506,
106
+ "learning_rate": 0.00019982214367819328,
107
+ "loss": 177.1057,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.08351976137211037,
112
+ "grad_norm": 7.102697372436523,
113
+ "learning_rate": 0.0001996838839014696,
114
+ "loss": 177.0454,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.0894854586129754,
119
+ "grad_norm": 6.839442253112793,
120
+ "learning_rate": 0.00019950621505224273,
121
+ "loss": 176.8315,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.09545115585384041,
126
+ "grad_norm": 7.397846698760986,
127
+ "learning_rate": 0.00019928920737019733,
128
+ "loss": 176.6299,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.10141685309470544,
133
+ "grad_norm": 7.522093772888184,
134
+ "learning_rate": 0.0001990329466472502,
135
+ "loss": 176.4406,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.10738255033557047,
140
+ "grad_norm": 7.168144702911377,
141
+ "learning_rate": 0.00019873753419363336,
142
+ "loss": 176.2746,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.1133482475764355,
147
+ "grad_norm": 7.09597635269165,
148
+ "learning_rate": 0.00019840308679784207,
149
+ "loss": 176.175,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.11931394481730052,
154
+ "grad_norm": 6.7985520362854,
155
+ "learning_rate": 0.00019802973668046363,
156
+ "loss": 175.9827,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.12527964205816555,
161
+ "grad_norm": 6.761631488800049,
162
+ "learning_rate": 0.0001976176314419051,
163
+ "loss": 175.667,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.13124533929903057,
168
+ "grad_norm": 6.5258402824401855,
169
+ "learning_rate": 0.000197166934004041,
170
+ "loss": 175.5422,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.1372110365398956,
175
+ "grad_norm": 6.445021152496338,
176
+ "learning_rate": 0.00019667782254580374,
177
+ "loss": 175.3253,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.14317673378076062,
182
+ "grad_norm": 6.272089004516602,
183
+ "learning_rate": 0.00019615049043274205,
184
+ "loss": 175.1453,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.14914243102162567,
189
+ "grad_norm": 6.029127597808838,
190
+ "learning_rate": 0.00019558514614057609,
191
+ "loss": 174.9004,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.15510812826249068,
196
+ "grad_norm": 5.847467422485352,
197
+ "learning_rate": 0.00019498201317277828,
198
+ "loss": 174.8105,
199
+ "step": 26
200
+ },
201
+ {
202
+ "epoch": 0.1610738255033557,
203
+ "grad_norm": 5.490026950836182,
204
+ "learning_rate": 0.00019434132997221345,
205
+ "loss": 174.7916,
206
+ "step": 27
207
+ },
208
+ {
209
+ "epoch": 0.16703952274422074,
210
+ "grad_norm": 5.294986248016357,
211
+ "learning_rate": 0.0001936633498268728,
212
+ "loss": 174.6978,
213
+ "step": 28
214
+ },
215
+ {
216
+ "epoch": 0.17300521998508575,
217
+ "grad_norm": 5.6034393310546875,
218
+ "learning_rate": 0.0001929483407697387,
219
+ "loss": 174.2558,
220
+ "step": 29
221
+ },
222
+ {
223
+ "epoch": 0.1789709172259508,
224
+ "grad_norm": 5.366105079650879,
225
+ "learning_rate": 0.00019219658547282067,
226
+ "loss": 174.2243,
227
+ "step": 30
228
+ },
229
+ {
230
+ "epoch": 0.1849366144668158,
231
+ "grad_norm": 5.4791364669799805,
232
+ "learning_rate": 0.00019140838113540346,
233
+ "loss": 174.1408,
234
+ "step": 31
235
+ },
236
+ {
237
+ "epoch": 0.19090231170768082,
238
+ "grad_norm": 5.344822406768799,
239
+ "learning_rate": 0.00019058403936655233,
240
+ "loss": 174.0687,
241
+ "step": 32
242
+ },
243
+ {
244
+ "epoch": 0.19686800894854586,
245
+ "grad_norm": 5.170618534088135,
246
+ "learning_rate": 0.00018972388606192125,
247
+ "loss": 173.8135,
248
+ "step": 33
249
+ },
250
+ {
251
+ "epoch": 0.20283370618941088,
252
+ "grad_norm": 5.459889888763428,
253
+ "learning_rate": 0.0001888282612749132,
254
+ "loss": 173.7341,
255
+ "step": 34
256
+ },
257
+ {
258
+ "epoch": 0.20879940343027592,
259
+ "grad_norm": 5.605976581573486,
260
+ "learning_rate": 0.00018789751908224338,
261
+ "loss": 173.534,
262
+ "step": 35
263
+ },
264
+ {
265
+ "epoch": 0.21476510067114093,
266
+ "grad_norm": 5.431817054748535,
267
+ "learning_rate": 0.00018693202744395827,
268
+ "loss": 173.4431,
269
+ "step": 36
270
+ },
271
+ {
272
+ "epoch": 0.22073079791200598,
273
+ "grad_norm": 5.523530960083008,
274
+ "learning_rate": 0.00018593216805796612,
275
+ "loss": 173.1953,
276
+ "step": 37
277
+ },
278
+ {
279
+ "epoch": 0.226696495152871,
280
+ "grad_norm": 5.449275970458984,
281
+ "learning_rate": 0.00018489833620913642,
282
+ "loss": 173.1515,
283
+ "step": 38
284
+ },
285
+ {
286
+ "epoch": 0.232662192393736,
287
+ "grad_norm": 4.968081474304199,
288
+ "learning_rate": 0.00018383094061302766,
289
+ "loss": 173.1161,
290
+ "step": 39
291
+ },
292
+ {
293
+ "epoch": 0.23862788963460105,
294
+ "grad_norm": 4.805411338806152,
295
+ "learning_rate": 0.00018273040325430574,
296
+ "loss": 172.911,
297
+ "step": 40
298
+ },
299
+ {
300
+ "epoch": 0.24459358687546606,
301
+ "grad_norm": 4.927144527435303,
302
+ "learning_rate": 0.00018159715921991612,
303
+ "loss": 172.9214,
304
+ "step": 41
305
+ },
306
+ {
307
+ "epoch": 0.2505592841163311,
308
+ "grad_norm": 4.579923152923584,
309
+ "learning_rate": 0.00018043165652707649,
310
+ "loss": 172.6381,
311
+ "step": 42
312
+ },
313
+ {
314
+ "epoch": 0.25652498135719615,
315
+ "grad_norm": 4.444681644439697,
316
+ "learning_rate": 0.00017923435594615744,
317
+ "loss": 172.6749,
318
+ "step": 43
319
+ },
320
+ {
321
+ "epoch": 0.26249067859806113,
322
+ "grad_norm": 4.170806407928467,
323
+ "learning_rate": 0.00017800573081852122,
324
+ "loss": 172.4283,
325
+ "step": 44
326
+ },
327
+ {
328
+ "epoch": 0.2684563758389262,
329
+ "grad_norm": 4.124916076660156,
330
+ "learning_rate": 0.0001767462668693908,
331
+ "loss": 172.6971,
332
+ "step": 45
333
+ },
334
+ {
335
+ "epoch": 0.2744220730797912,
336
+ "grad_norm": 3.977177619934082,
337
+ "learning_rate": 0.00017545646201582303,
338
+ "loss": 172.3223,
339
+ "step": 46
340
+ },
341
+ {
342
+ "epoch": 0.2803877703206562,
343
+ "grad_norm": 4.0276055335998535,
344
+ "learning_rate": 0.00017413682616986185,
345
+ "loss": 172.2281,
346
+ "step": 47
347
+ },
348
+ {
349
+ "epoch": 0.28635346756152125,
350
+ "grad_norm": 4.022791385650635,
351
+ "learning_rate": 0.00017278788103694943,
352
+ "loss": 172.2636,
353
+ "step": 48
354
+ },
355
+ {
356
+ "epoch": 0.2923191648023863,
357
+ "grad_norm": 3.8719427585601807,
358
+ "learning_rate": 0.000171410159909675,
359
+ "loss": 172.2995,
360
+ "step": 49
361
+ },
362
+ {
363
+ "epoch": 0.29828486204325133,
364
+ "grad_norm": 3.7895970344543457,
365
+ "learning_rate": 0.00017000420745694254,
366
+ "loss": 172.0944,
367
+ "step": 50
368
+ },
369
+ {
370
+ "epoch": 0.29828486204325133,
371
+ "eval_loss": 10.750672340393066,
372
+ "eval_runtime": 2.6338,
373
+ "eval_samples_per_second": 214.52,
374
+ "eval_steps_per_second": 53.915,
375
+ "step": 50
376
+ },
377
+ {
378
+ "epoch": 0.3042505592841163,
379
+ "grad_norm": 3.754560708999634,
380
+ "learning_rate": 0.00016857057950864132,
381
+ "loss": 172.3649,
382
+ "step": 51
383
+ },
384
+ {
385
+ "epoch": 0.31021625652498136,
386
+ "grad_norm": 3.4925007820129395,
387
+ "learning_rate": 0.0001671098428359037,
388
+ "loss": 172.0493,
389
+ "step": 52
390
+ },
391
+ {
392
+ "epoch": 0.3161819537658464,
393
+ "grad_norm": 3.5091800689697266,
394
+ "learning_rate": 0.00016562257492703757,
395
+ "loss": 172.0324,
396
+ "step": 53
397
+ },
398
+ {
399
+ "epoch": 0.3221476510067114,
400
+ "grad_norm": 3.393800973892212,
401
+ "learning_rate": 0.000164109363759222,
402
+ "loss": 171.9038,
403
+ "step": 54
404
+ },
405
+ {
406
+ "epoch": 0.32811334824757643,
407
+ "grad_norm": 3.2377617359161377,
408
+ "learning_rate": 0.000162570807566056,
409
+ "loss": 171.8122,
410
+ "step": 55
411
+ },
412
+ {
413
+ "epoch": 0.3340790454884415,
414
+ "grad_norm": 2.9593327045440674,
415
+ "learning_rate": 0.00016100751460105243,
416
+ "loss": 171.989,
417
+ "step": 56
418
+ },
419
+ {
420
+ "epoch": 0.3400447427293065,
421
+ "grad_norm": 2.8319246768951416,
422
+ "learning_rate": 0.00015942010289717105,
423
+ "loss": 171.9429,
424
+ "step": 57
425
+ },
426
+ {
427
+ "epoch": 0.3460104399701715,
428
+ "grad_norm": 2.8318281173706055,
429
+ "learning_rate": 0.00015780920002248484,
430
+ "loss": 171.6281,
431
+ "step": 58
432
+ },
433
+ {
434
+ "epoch": 0.35197613721103654,
435
+ "grad_norm": 2.8882522583007812,
436
+ "learning_rate": 0.0001561754428320771,
437
+ "loss": 171.586,
438
+ "step": 59
439
+ },
440
+ {
441
+ "epoch": 0.3579418344519016,
442
+ "grad_norm": 2.693842649459839,
443
+ "learning_rate": 0.00015451947721626676,
444
+ "loss": 171.6432,
445
+ "step": 60
446
+ },
447
+ {
448
+ "epoch": 0.3639075316927666,
449
+ "grad_norm": 2.4836134910583496,
450
+ "learning_rate": 0.00015284195784526195,
451
+ "loss": 171.6393,
452
+ "step": 61
453
+ },
454
+ {
455
+ "epoch": 0.3698732289336316,
456
+ "grad_norm": 2.6122045516967773,
457
+ "learning_rate": 0.00015114354791034225,
458
+ "loss": 171.5243,
459
+ "step": 62
460
+ },
461
+ {
462
+ "epoch": 0.37583892617449666,
463
+ "grad_norm": 2.4168965816497803,
464
+ "learning_rate": 0.0001494249188616723,
465
+ "loss": 171.474,
466
+ "step": 63
467
+ },
468
+ {
469
+ "epoch": 0.38180462341536164,
470
+ "grad_norm": 2.512296676635742,
471
+ "learning_rate": 0.00014768675014285062,
472
+ "loss": 171.4265,
473
+ "step": 64
474
+ },
475
+ {
476
+ "epoch": 0.3877703206562267,
477
+ "grad_norm": 2.3000900745391846,
478
+ "learning_rate": 0.00014592972892229778,
479
+ "loss": 171.5658,
480
+ "step": 65
481
+ },
482
+ {
483
+ "epoch": 0.39373601789709173,
484
+ "grad_norm": 2.446812868118286,
485
+ "learning_rate": 0.0001441545498215912,
486
+ "loss": 171.2917,
487
+ "step": 66
488
+ },
489
+ {
490
+ "epoch": 0.39970171513795677,
491
+ "grad_norm": 2.336965799331665,
492
+ "learning_rate": 0.00014236191464085286,
493
+ "loss": 171.3127,
494
+ "step": 67
495
+ },
496
+ {
497
+ "epoch": 0.40566741237882176,
498
+ "grad_norm": 2.382441759109497,
499
+ "learning_rate": 0.00014055253208129938,
500
+ "loss": 171.3835,
501
+ "step": 68
502
+ },
503
+ {
504
+ "epoch": 0.4116331096196868,
505
+ "grad_norm": 2.332672357559204,
506
+ "learning_rate": 0.00013872711746506413,
507
+ "loss": 171.0341,
508
+ "step": 69
509
+ },
510
+ {
511
+ "epoch": 0.41759880686055184,
512
+ "grad_norm": 2.154898166656494,
513
+ "learning_rate": 0.00013688639245240078,
514
+ "loss": 171.26,
515
+ "step": 70
516
+ },
517
+ {
518
+ "epoch": 0.4235645041014168,
519
+ "grad_norm": 2.1675949096679688,
520
+ "learning_rate": 0.00013503108475638244,
521
+ "loss": 171.157,
522
+ "step": 71
523
+ },
524
+ {
525
+ "epoch": 0.42953020134228187,
526
+ "grad_norm": 2.080620527267456,
527
+ "learning_rate": 0.0001331619278552068,
528
+ "loss": 171.2242,
529
+ "step": 72
530
+ },
531
+ {
532
+ "epoch": 0.4354958985831469,
533
+ "grad_norm": 2.1366305351257324,
534
+ "learning_rate": 0.00013127966070222274,
535
+ "loss": 171.128,
536
+ "step": 73
537
+ },
538
+ {
539
+ "epoch": 0.44146159582401195,
540
+ "grad_norm": 1.9401147365570068,
541
+ "learning_rate": 0.00012938502743379212,
542
+ "loss": 171.2673,
543
+ "step": 74
544
+ },
545
+ {
546
+ "epoch": 0.44742729306487694,
547
+ "grad_norm": 1.9179306030273438,
548
+ "learning_rate": 0.00012747877707510252,
549
+ "loss": 171.0763,
550
+ "step": 75
551
+ },
552
+ {
553
+ "epoch": 0.453392990305742,
554
+ "grad_norm": 1.803235650062561,
555
+ "learning_rate": 0.0001255616632440475,
556
+ "loss": 171.3283,
557
+ "step": 76
558
+ },
559
+ {
560
+ "epoch": 0.459358687546607,
561
+ "grad_norm": 1.7963320016860962,
562
+ "learning_rate": 0.0001236344438532905,
563
+ "loss": 171.3403,
564
+ "step": 77
565
+ },
566
+ {
567
+ "epoch": 0.465324384787472,
568
+ "grad_norm": 1.8302608728408813,
569
+ "learning_rate": 0.0001216978808106318,
570
+ "loss": 171.0581,
571
+ "step": 78
572
+ },
573
+ {
574
+ "epoch": 0.47129008202833705,
575
+ "grad_norm": 1.7636499404907227,
576
+ "learning_rate": 0.00011975273971779528,
577
+ "loss": 170.895,
578
+ "step": 79
579
+ },
580
+ {
581
+ "epoch": 0.4772557792692021,
582
+ "grad_norm": 1.8262088298797607,
583
+ "learning_rate": 0.00011779978956775506,
584
+ "loss": 170.8999,
585
+ "step": 80
586
+ },
587
+ {
588
+ "epoch": 0.48322147651006714,
589
+ "grad_norm": 1.6554714441299438,
590
+ "learning_rate": 0.0001158398024407215,
591
+ "loss": 170.959,
592
+ "step": 81
593
+ },
594
+ {
595
+ "epoch": 0.4891871737509321,
596
+ "grad_norm": 1.5543956756591797,
597
+ "learning_rate": 0.00011387355319890685,
598
+ "loss": 171.1051,
599
+ "step": 82
600
+ },
601
+ {
602
+ "epoch": 0.49515287099179717,
603
+ "grad_norm": 1.5493615865707397,
604
+ "learning_rate": 0.00011190181918019049,
605
+ "loss": 170.8636,
606
+ "step": 83
607
+ },
608
+ {
609
+ "epoch": 0.5011185682326622,
610
+ "grad_norm": 1.5067118406295776,
611
+ "learning_rate": 0.00010992537989080618,
612
+ "loss": 170.9689,
613
+ "step": 84
614
+ },
615
+ {
616
+ "epoch": 0.5070842654735273,
617
+ "grad_norm": 1.606300711631775,
618
+ "learning_rate": 0.00010794501669717145,
619
+ "loss": 170.9633,
620
+ "step": 85
621
+ },
622
+ {
623
+ "epoch": 0.5130499627143923,
624
+ "grad_norm": 1.5061813592910767,
625
+ "learning_rate": 0.00010596151251698199,
626
+ "loss": 171.1827,
627
+ "step": 86
628
+ },
629
+ {
630
+ "epoch": 0.5190156599552572,
631
+ "grad_norm": 1.7957592010498047,
632
+ "learning_rate": 0.0001039756515096926,
633
+ "loss": 171.2007,
634
+ "step": 87
635
+ },
636
+ {
637
+ "epoch": 0.5249813571961223,
638
+ "grad_norm": 1.5168020725250244,
639
+ "learning_rate": 0.00010198821876650701,
640
+ "loss": 170.9801,
641
+ "step": 88
642
+ },
643
+ {
644
+ "epoch": 0.5309470544369873,
645
+ "grad_norm": 1.5146677494049072,
646
+ "learning_rate": 0.0001,
647
+ "loss": 170.958,
648
+ "step": 89
649
+ },
650
+ {
651
+ "epoch": 0.5369127516778524,
652
+ "grad_norm": 1.4886693954467773,
653
+ "learning_rate": 9.801178123349298e-05,
654
+ "loss": 171.0676,
655
+ "step": 90
656
+ },
657
+ {
658
+ "epoch": 0.5428784489187174,
659
+ "grad_norm": 1.4379653930664062,
660
+ "learning_rate": 9.602434849030745e-05,
661
+ "loss": 170.9034,
662
+ "step": 91
663
+ },
664
+ {
665
+ "epoch": 0.5488441461595824,
666
+ "grad_norm": 1.5610442161560059,
667
+ "learning_rate": 9.403848748301802e-05,
668
+ "loss": 170.9754,
669
+ "step": 92
670
+ },
671
+ {
672
+ "epoch": 0.5548098434004475,
673
+ "grad_norm": 1.487752914428711,
674
+ "learning_rate": 9.205498330282856e-05,
675
+ "loss": 171.1351,
676
+ "step": 93
677
+ },
678
+ {
679
+ "epoch": 0.5607755406413124,
680
+ "grad_norm": 1.446837067604065,
681
+ "learning_rate": 9.007462010919386e-05,
682
+ "loss": 170.829,
683
+ "step": 94
684
+ },
685
+ {
686
+ "epoch": 0.5667412378821775,
687
+ "grad_norm": 1.4709055423736572,
688
+ "learning_rate": 8.809818081980953e-05,
689
+ "loss": 171.0338,
690
+ "step": 95
691
+ },
692
+ {
693
+ "epoch": 0.5727069351230425,
694
+ "grad_norm": 1.4231116771697998,
695
+ "learning_rate": 8.612644680109319e-05,
696
+ "loss": 171.1145,
697
+ "step": 96
698
+ },
699
+ {
700
+ "epoch": 0.5786726323639075,
701
+ "grad_norm": 1.3027857542037964,
702
+ "learning_rate": 8.416019755927851e-05,
703
+ "loss": 170.7815,
704
+ "step": 97
705
+ },
706
+ {
707
+ "epoch": 0.5846383296047726,
708
+ "grad_norm": 1.5428235530853271,
709
+ "learning_rate": 8.2200210432245e-05,
710
+ "loss": 170.7701,
711
+ "step": 98
712
+ },
713
+ {
714
+ "epoch": 0.5906040268456376,
715
+ "grad_norm": 1.5096145868301392,
716
+ "learning_rate": 8.024726028220474e-05,
717
+ "loss": 170.9,
718
+ "step": 99
719
+ },
720
+ {
721
+ "epoch": 0.5965697240865027,
722
+ "grad_norm": 1.360622763633728,
723
+ "learning_rate": 7.83021191893682e-05,
724
+ "loss": 170.897,
725
+ "step": 100
726
+ },
727
+ {
728
+ "epoch": 0.5965697240865027,
729
+ "eval_loss": 10.678417205810547,
730
+ "eval_runtime": 2.634,
731
+ "eval_samples_per_second": 214.502,
732
+ "eval_steps_per_second": 53.91,
733
+ "step": 100
734
+ },
735
+ {
736
+ "epoch": 0.6025354213273676,
737
+ "grad_norm": 1.4858219623565674,
738
+ "learning_rate": 7.636555614670953e-05,
739
+ "loss": 171.0914,
740
+ "step": 101
741
+ },
742
+ {
743
+ "epoch": 0.6085011185682326,
744
+ "grad_norm": 1.6721580028533936,
745
+ "learning_rate": 7.443833675595255e-05,
746
+ "loss": 171.0257,
747
+ "step": 102
748
+ },
749
+ {
750
+ "epoch": 0.6144668158090977,
751
+ "grad_norm": 1.411774754524231,
752
+ "learning_rate": 7.252122292489747e-05,
753
+ "loss": 171.0463,
754
+ "step": 103
755
+ },
756
+ {
757
+ "epoch": 0.6204325130499627,
758
+ "grad_norm": 1.4123822450637817,
759
+ "learning_rate": 7.061497256620793e-05,
760
+ "loss": 170.9659,
761
+ "step": 104
762
+ },
763
+ {
764
+ "epoch": 0.6263982102908278,
765
+ "grad_norm": 1.6551793813705444,
766
+ "learning_rate": 6.87203392977773e-05,
767
+ "loss": 170.81,
768
+ "step": 105
769
+ },
770
+ {
771
+ "epoch": 0.6323639075316928,
772
+ "grad_norm": 1.4507380723953247,
773
+ "learning_rate": 6.683807214479323e-05,
774
+ "loss": 170.9417,
775
+ "step": 106
776
+ },
777
+ {
778
+ "epoch": 0.6383296047725578,
779
+ "grad_norm": 1.7282212972640991,
780
+ "learning_rate": 6.496891524361757e-05,
781
+ "loss": 170.8591,
782
+ "step": 107
783
+ },
784
+ {
785
+ "epoch": 0.6442953020134228,
786
+ "grad_norm": 1.2757378816604614,
787
+ "learning_rate": 6.311360754759923e-05,
788
+ "loss": 170.8879,
789
+ "step": 108
790
+ },
791
+ {
792
+ "epoch": 0.6502609992542878,
793
+ "grad_norm": 1.501574993133545,
794
+ "learning_rate": 6.127288253493591e-05,
795
+ "loss": 170.9468,
796
+ "step": 109
797
+ },
798
+ {
799
+ "epoch": 0.6562266964951529,
800
+ "grad_norm": 1.655603051185608,
801
+ "learning_rate": 5.9447467918700614e-05,
802
+ "loss": 171.1725,
803
+ "step": 110
804
+ },
805
+ {
806
+ "epoch": 0.6621923937360179,
807
+ "grad_norm": 1.5282913446426392,
808
+ "learning_rate": 5.763808535914723e-05,
809
+ "loss": 170.836,
810
+ "step": 111
811
+ },
812
+ {
813
+ "epoch": 0.668158090976883,
814
+ "grad_norm": 1.487389326095581,
815
+ "learning_rate": 5.584545017840885e-05,
816
+ "loss": 170.796,
817
+ "step": 112
818
+ },
819
+ {
820
+ "epoch": 0.674123788217748,
821
+ "grad_norm": 1.4064078330993652,
822
+ "learning_rate": 5.407027107770219e-05,
823
+ "loss": 170.9494,
824
+ "step": 113
825
+ },
826
+ {
827
+ "epoch": 0.680089485458613,
828
+ "grad_norm": 1.5179957151412964,
829
+ "learning_rate": 5.2313249857149414e-05,
830
+ "loss": 170.8766,
831
+ "step": 114
832
+ },
833
+ {
834
+ "epoch": 0.686055182699478,
835
+ "grad_norm": 1.439717173576355,
836
+ "learning_rate": 5.0575081138327715e-05,
837
+ "loss": 170.5389,
838
+ "step": 115
839
+ },
840
+ {
841
+ "epoch": 0.692020879940343,
842
+ "grad_norm": 1.4089628458023071,
843
+ "learning_rate": 4.885645208965779e-05,
844
+ "loss": 170.7846,
845
+ "step": 116
846
+ },
847
+ {
848
+ "epoch": 0.697986577181208,
849
+ "grad_norm": 1.4299569129943848,
850
+ "learning_rate": 4.715804215473809e-05,
851
+ "loss": 170.8363,
852
+ "step": 117
853
+ },
854
+ {
855
+ "epoch": 0.7039522744220731,
856
+ "grad_norm": 1.4523077011108398,
857
+ "learning_rate": 4.548052278373327e-05,
858
+ "loss": 170.7898,
859
+ "step": 118
860
+ },
861
+ {
862
+ "epoch": 0.7099179716629381,
863
+ "grad_norm": 1.7248293161392212,
864
+ "learning_rate": 4.382455716792291e-05,
865
+ "loss": 170.557,
866
+ "step": 119
867
+ },
868
+ {
869
+ "epoch": 0.7158836689038032,
870
+ "grad_norm": 1.4510116577148438,
871
+ "learning_rate": 4.219079997751515e-05,
872
+ "loss": 171.0243,
873
+ "step": 120
874
+ },
875
+ {
876
+ "epoch": 0.7218493661446681,
877
+ "grad_norm": 1.5434592962265015,
878
+ "learning_rate": 4.0579897102828966e-05,
879
+ "loss": 170.9095,
880
+ "step": 121
881
+ },
882
+ {
883
+ "epoch": 0.7278150633855331,
884
+ "grad_norm": 1.4642930030822754,
885
+ "learning_rate": 3.899248539894757e-05,
886
+ "loss": 170.9486,
887
+ "step": 122
888
+ },
889
+ {
890
+ "epoch": 0.7337807606263982,
891
+ "grad_norm": 1.5373685359954834,
892
+ "learning_rate": 3.7429192433944014e-05,
893
+ "loss": 170.7653,
894
+ "step": 123
895
+ },
896
+ {
897
+ "epoch": 0.7397464578672632,
898
+ "grad_norm": 1.4367315769195557,
899
+ "learning_rate": 3.589063624077802e-05,
900
+ "loss": 170.9864,
901
+ "step": 124
902
+ },
903
+ {
904
+ "epoch": 0.7457121551081283,
905
+ "grad_norm": 1.5813435316085815,
906
+ "learning_rate": 3.4377425072962465e-05,
907
+ "loss": 170.8179,
908
+ "step": 125
909
+ },
910
+ {
911
+ "epoch": 0.7516778523489933,
912
+ "grad_norm": 1.49014413356781,
913
+ "learning_rate": 3.289015716409631e-05,
914
+ "loss": 170.8235,
915
+ "step": 126
916
+ },
917
+ {
918
+ "epoch": 0.7576435495898584,
919
+ "grad_norm": 1.4576035737991333,
920
+ "learning_rate": 3.14294204913587e-05,
921
+ "loss": 171.0404,
922
+ "step": 127
923
+ },
924
+ {
925
+ "epoch": 0.7636092468307233,
926
+ "grad_norm": 1.6112295389175415,
927
+ "learning_rate": 2.9995792543057478e-05,
928
+ "loss": 170.9339,
929
+ "step": 128
930
+ },
931
+ {
932
+ "epoch": 0.7695749440715883,
933
+ "grad_norm": 1.5017921924591064,
934
+ "learning_rate": 2.8589840090325027e-05,
935
+ "loss": 170.8957,
936
+ "step": 129
937
+ },
938
+ {
939
+ "epoch": 0.7755406413124534,
940
+ "grad_norm": 1.4612088203430176,
941
+ "learning_rate": 2.7212118963050592e-05,
942
+ "loss": 170.8594,
943
+ "step": 130
944
+ },
945
+ {
946
+ "epoch": 0.7815063385533184,
947
+ "grad_norm": 1.4020276069641113,
948
+ "learning_rate": 2.586317383013821e-05,
949
+ "loss": 170.7494,
950
+ "step": 131
951
+ },
952
+ {
953
+ "epoch": 0.7874720357941835,
954
+ "grad_norm": 1.4767378568649292,
955
+ "learning_rate": 2.4543537984176978e-05,
956
+ "loss": 170.7946,
957
+ "step": 132
958
+ },
959
+ {
960
+ "epoch": 0.7934377330350485,
961
+ "grad_norm": 1.540097713470459,
962
+ "learning_rate": 2.325373313060919e-05,
963
+ "loss": 170.9655,
964
+ "step": 133
965
+ },
966
+ {
967
+ "epoch": 0.7994034302759135,
968
+ "grad_norm": 1.736151933670044,
969
+ "learning_rate": 2.19942691814788e-05,
970
+ "loss": 170.5839,
971
+ "step": 134
972
+ },
973
+ {
974
+ "epoch": 0.8053691275167785,
975
+ "grad_norm": 1.5701953172683716,
976
+ "learning_rate": 2.076564405384258e-05,
977
+ "loss": 170.7793,
978
+ "step": 135
979
+ },
980
+ {
981
+ "epoch": 0.8113348247576435,
982
+ "grad_norm": 1.2542908191680908,
983
+ "learning_rate": 1.9568343472923524e-05,
984
+ "loss": 170.9114,
985
+ "step": 136
986
+ },
987
+ {
988
+ "epoch": 0.8173005219985086,
989
+ "grad_norm": 1.4979526996612549,
990
+ "learning_rate": 1.840284078008393e-05,
991
+ "loss": 170.7062,
992
+ "step": 137
993
+ },
994
+ {
995
+ "epoch": 0.8232662192393736,
996
+ "grad_norm": 1.3671603202819824,
997
+ "learning_rate": 1.7269596745694295e-05,
998
+ "loss": 170.7225,
999
+ "step": 138
1000
+ },
1001
+ {
1002
+ "epoch": 0.8292319164802386,
1003
+ "grad_norm": 1.479339838027954,
1004
+ "learning_rate": 1.616905938697234e-05,
1005
+ "loss": 170.8046,
1006
+ "step": 139
1007
+ },
1008
+ {
1009
+ "epoch": 0.8351976137211037,
1010
+ "grad_norm": 1.43141508102417,
1011
+ "learning_rate": 1.5101663790863596e-05,
1012
+ "loss": 170.812,
1013
+ "step": 140
1014
+ },
1015
+ {
1016
+ "epoch": 0.8411633109619687,
1017
+ "grad_norm": 1.477554440498352,
1018
+ "learning_rate": 1.4067831942033904e-05,
1019
+ "loss": 170.8811,
1020
+ "step": 141
1021
+ },
1022
+ {
1023
+ "epoch": 0.8471290082028337,
1024
+ "grad_norm": 1.7396587133407593,
1025
+ "learning_rate": 1.3067972556041752e-05,
1026
+ "loss": 171.0579,
1027
+ "step": 142
1028
+ },
1029
+ {
1030
+ "epoch": 0.8530947054436987,
1031
+ "grad_norm": 1.2874486446380615,
1032
+ "learning_rate": 1.210248091775663e-05,
1033
+ "loss": 171.0405,
1034
+ "step": 143
1035
+ },
1036
+ {
1037
+ "epoch": 0.8590604026845637,
1038
+ "grad_norm": 1.380942702293396,
1039
+ "learning_rate": 1.1171738725086833e-05,
1040
+ "loss": 170.8893,
1041
+ "step": 144
1042
+ },
1043
+ {
1044
+ "epoch": 0.8650260999254288,
1045
+ "grad_norm": 1.5705515146255493,
1046
+ "learning_rate": 1.0276113938078769e-05,
1047
+ "loss": 170.6227,
1048
+ "step": 145
1049
+ },
1050
+ {
1051
+ "epoch": 0.8709917971662938,
1052
+ "grad_norm": 1.2948060035705566,
1053
+ "learning_rate": 9.415960633447674e-06,
1054
+ "loss": 170.723,
1055
+ "step": 146
1056
+ },
1057
+ {
1058
+ "epoch": 0.8769574944071589,
1059
+ "grad_norm": 1.4386988878250122,
1060
+ "learning_rate": 8.59161886459654e-06,
1061
+ "loss": 171.0868,
1062
+ "step": 147
1063
+ },
1064
+ {
1065
+ "epoch": 0.8829231916480239,
1066
+ "grad_norm": 1.4432848691940308,
1067
+ "learning_rate": 7.803414527179343e-06,
1068
+ "loss": 170.6944,
1069
+ "step": 148
1070
+ },
1071
+ {
1072
+ "epoch": 0.8888888888888888,
1073
+ "grad_norm": 1.3400977849960327,
1074
+ "learning_rate": 7.051659230261298e-06,
1075
+ "loss": 170.9776,
1076
+ "step": 149
1077
+ },
1078
+ {
1079
+ "epoch": 0.8948545861297539,
1080
+ "grad_norm": 1.5473792552947998,
1081
+ "learning_rate": 6.336650173127223e-06,
1082
+ "loss": 170.6346,
1083
+ "step": 150
1084
+ },
1085
+ {
1086
+ "epoch": 0.8948545861297539,
1087
+ "eval_loss": 10.670522689819336,
1088
+ "eval_runtime": 2.6336,
1089
+ "eval_samples_per_second": 214.537,
1090
+ "eval_steps_per_second": 53.919,
1091
+ "step": 150
1092
+ },
1093
+ {
1094
+ "epoch": 0.9008202833706189,
1095
+ "grad_norm": 1.4730690717697144,
1096
+ "learning_rate": 5.658670027786561e-06,
1097
+ "loss": 170.5889,
1098
+ "step": 151
1099
+ },
1100
+ {
1101
+ "epoch": 0.906785980611484,
1102
+ "grad_norm": 1.5186723470687866,
1103
+ "learning_rate": 5.017986827221733e-06,
1104
+ "loss": 170.7083,
1105
+ "step": 152
1106
+ },
1107
+ {
1108
+ "epoch": 0.912751677852349,
1109
+ "grad_norm": 1.491504192352295,
1110
+ "learning_rate": 4.4148538594239174e-06,
1111
+ "loss": 170.7544,
1112
+ "step": 153
1113
+ },
1114
+ {
1115
+ "epoch": 0.918717375093214,
1116
+ "grad_norm": 1.2970484495162964,
1117
+ "learning_rate": 3.849509567257959e-06,
1118
+ "loss": 170.8665,
1119
+ "step": 154
1120
+ },
1121
+ {
1122
+ "epoch": 0.9246830723340791,
1123
+ "grad_norm": 1.6335340738296509,
1124
+ "learning_rate": 3.3221774541962845e-06,
1125
+ "loss": 170.6754,
1126
+ "step": 155
1127
+ },
1128
+ {
1129
+ "epoch": 0.930648769574944,
1130
+ "grad_norm": 1.379293441772461,
1131
+ "learning_rate": 2.8330659959589946e-06,
1132
+ "loss": 170.6554,
1133
+ "step": 156
1134
+ },
1135
+ {
1136
+ "epoch": 0.9366144668158091,
1137
+ "grad_norm": 1.6851439476013184,
1138
+ "learning_rate": 2.3823685580949273e-06,
1139
+ "loss": 170.8885,
1140
+ "step": 157
1141
+ },
1142
+ {
1143
+ "epoch": 0.9425801640566741,
1144
+ "grad_norm": 1.4219993352890015,
1145
+ "learning_rate": 1.9702633195363917e-06,
1146
+ "loss": 170.8172,
1147
+ "step": 158
1148
+ },
1149
+ {
1150
+ "epoch": 0.9485458612975392,
1151
+ "grad_norm": 1.3258092403411865,
1152
+ "learning_rate": 1.5969132021579347e-06,
1153
+ "loss": 170.9052,
1154
+ "step": 159
1155
+ },
1156
+ {
1157
+ "epoch": 0.9545115585384042,
1158
+ "grad_norm": 1.432961106300354,
1159
+ "learning_rate": 1.2624658063666639e-06,
1160
+ "loss": 170.6472,
1161
+ "step": 160
1162
+ },
1163
+ {
1164
+ "epoch": 0.9604772557792692,
1165
+ "grad_norm": 1.4795331954956055,
1166
+ "learning_rate": 9.670533527498137e-07,
1167
+ "loss": 170.7788,
1168
+ "step": 161
1169
+ },
1170
+ {
1171
+ "epoch": 0.9664429530201343,
1172
+ "grad_norm": 1.4141111373901367,
1173
+ "learning_rate": 7.10792629802659e-07,
1174
+ "loss": 170.9581,
1175
+ "step": 162
1176
+ },
1177
+ {
1178
+ "epoch": 0.9724086502609992,
1179
+ "grad_norm": 1.4106597900390625,
1180
+ "learning_rate": 4.937849477572587e-07,
1181
+ "loss": 170.9336,
1182
+ "step": 163
1183
+ },
1184
+ {
1185
+ "epoch": 0.9783743475018642,
1186
+ "grad_norm": 1.375862717628479,
1187
+ "learning_rate": 3.161160985304168e-07,
1188
+ "loss": 170.9395,
1189
+ "step": 164
1190
+ },
1191
+ {
1192
+ "epoch": 0.9843400447427293,
1193
+ "grad_norm": 1.491901159286499,
1194
+ "learning_rate": 1.7785632180670198e-07,
1195
+ "loss": 170.7623,
1196
+ "step": 165
1197
+ },
1198
+ {
1199
+ "epoch": 0.9903057419835943,
1200
+ "grad_norm": 1.4601823091506958,
1201
+ "learning_rate": 7.906027726981568e-08,
1202
+ "loss": 171.0052,
1203
+ "step": 166
1204
+ },
1205
+ {
1206
+ "epoch": 0.9962714392244594,
1207
+ "grad_norm": 1.3856346607208252,
1208
+ "learning_rate": 1.976702299344435e-08,
1209
+ "loss": 170.8791,
1210
+ "step": 167
1211
+ },
1212
+ {
1213
+ "epoch": 1.0041014168530946,
1214
+ "grad_norm": 1.4848746061325073,
1215
+ "learning_rate": 0.0,
1216
+ "loss": 170.7907,
1217
+ "step": 168
1218
+ }
1219
+ ],
1220
+ "logging_steps": 1,
1221
+ "max_steps": 168,
1222
+ "num_input_tokens_seen": 0,
1223
+ "num_train_epochs": 2,
1224
+ "save_steps": 100,
1225
+ "stateful_callbacks": {
1226
+ "EarlyStoppingCallback": {
1227
+ "args": {
1228
+ "early_stopping_patience": 2,
1229
+ "early_stopping_threshold": 0.0
1230
+ },
1231
+ "attributes": {
1232
+ "early_stopping_patience_counter": 0
1233
+ }
1234
+ },
1235
+ "TrainerControl": {
1236
+ "args": {
1237
+ "should_epoch_stop": false,
1238
+ "should_evaluate": false,
1239
+ "should_log": false,
1240
+ "should_save": true,
1241
+ "should_training_stop": true
1242
+ },
1243
+ "attributes": {}
1244
+ }
1245
+ },
1246
+ "total_flos": 63064246321152.0,
1247
+ "train_batch_size": 4,
1248
+ "trial_name": null,
1249
+ "trial_params": null
1250
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:304e731e65dd851d771417bdbb2cb9c9dc78e77102ad6b416ced2e4f3ff3dc1a
3
+ size 6776