Fanucci commited on
Commit
b5ec443
·
verified ·
1 Parent(s): 2b37a3b

Training in progress, step 100, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: NousResearch/Yarn-Llama-2-13b-64k
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.2
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "NousResearch/Yarn-Llama-2-13b-64k",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 64,
14
+ "lora_dropout": 0.1,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "gate_proj",
24
+ "o_proj",
25
+ "down_proj",
26
+ "k_proj",
27
+ "q_proj",
28
+ "v_proj",
29
+ "up_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e84b3357d15e682a5611b6af7602abf109f3d442b3527f91d35b9a838531509
3
+ size 500770656
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5bb1734b92cd27df2402168bd437628e48abb0ebc85804a9140622b6a7f81462
3
+ size 254917780
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ffaa87dbdd9880a8874fb8cf222a04af149eb6c4d2739069414a243173ab637
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:79b3928c88f1c92e8ba990de7e5b15818dc414d2b83790d7ac374ffec1121342
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
last-checkpoint/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": true,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": true,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": true,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ }
30
+ },
31
+ "bos_token": "<s>",
32
+ "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 %}",
33
+ "clean_up_tokenization_spaces": false,
34
+ "eos_token": "</s>",
35
+ "legacy": false,
36
+ "model_max_length": 1000000000000000019884624838656,
37
+ "pad_token": "<unk>",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,758 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.5528450012207031,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-100",
4
+ "epoch": 0.09958919457238889,
5
+ "eval_steps": 100,
6
+ "global_step": 100,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.000995891945723889,
13
+ "grad_norm": 16.56658172607422,
14
+ "learning_rate": 2.5e-05,
15
+ "loss": 27.5358,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.000995891945723889,
20
+ "eval_loss": 3.4175312519073486,
21
+ "eval_runtime": 287.5927,
22
+ "eval_samples_per_second": 4.656,
23
+ "eval_steps_per_second": 1.165,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.001991783891447778,
28
+ "grad_norm": 16.847103118896484,
29
+ "learning_rate": 5e-05,
30
+ "loss": 28.6136,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.002987675837171667,
35
+ "grad_norm": 14.910314559936523,
36
+ "learning_rate": 7.5e-05,
37
+ "loss": 26.2465,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.003983567782895556,
42
+ "grad_norm": 14.995889663696289,
43
+ "learning_rate": 0.0001,
44
+ "loss": 23.7459,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.004979459728619445,
49
+ "grad_norm": 18.5001220703125,
50
+ "learning_rate": 0.000125,
51
+ "loss": 24.4332,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.005975351674343334,
56
+ "grad_norm": 13.621232986450195,
57
+ "learning_rate": 0.00015,
58
+ "loss": 22.1308,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.006971243620067223,
63
+ "grad_norm": 12.984804153442383,
64
+ "learning_rate": 0.000175,
65
+ "loss": 19.3733,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.007967135565791112,
70
+ "grad_norm": 13.488744735717773,
71
+ "learning_rate": 0.0002,
72
+ "loss": 16.8823,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.008963027511515,
77
+ "grad_norm": 16.1417293548584,
78
+ "learning_rate": 0.00022500000000000002,
79
+ "loss": 16.2773,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.00995891945723889,
84
+ "grad_norm": 13.883444786071777,
85
+ "learning_rate": 0.00025,
86
+ "loss": 13.4328,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.010954811402962778,
91
+ "grad_norm": 21.88507843017578,
92
+ "learning_rate": 0.00024999910458769255,
93
+ "loss": 15.1014,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.011950703348686668,
98
+ "grad_norm": 18.264280319213867,
99
+ "learning_rate": 0.0002499964183635983,
100
+ "loss": 13.3915,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.012946595294410557,
105
+ "grad_norm": 21.488842010498047,
106
+ "learning_rate": 0.0002499919413662018,
107
+ "loss": 14.5928,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.013942487240134445,
112
+ "grad_norm": 11.669401168823242,
113
+ "learning_rate": 0.00024998567365964314,
114
+ "loss": 13.6025,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.014938379185858334,
119
+ "grad_norm": 12.027138710021973,
120
+ "learning_rate": 0.0002499776153337172,
121
+ "loss": 14.022,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.015934271131582224,
126
+ "grad_norm": 13.013602256774902,
127
+ "learning_rate": 0.00024996776650387245,
128
+ "loss": 13.9936,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.01693016307730611,
133
+ "grad_norm": 11.030466079711914,
134
+ "learning_rate": 0.000249956127311209,
135
+ "loss": 13.786,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.01792605502303,
140
+ "grad_norm": 10.779586791992188,
141
+ "learning_rate": 0.000249942697922477,
142
+ "loss": 12.499,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.01892194696875389,
147
+ "grad_norm": 11.274680137634277,
148
+ "learning_rate": 0.00024992747853007374,
149
+ "loss": 12.219,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.01991783891447778,
154
+ "grad_norm": 9.957880020141602,
155
+ "learning_rate": 0.00024991046935204144,
156
+ "loss": 13.1162,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.02091373086020167,
161
+ "grad_norm": 8.227347373962402,
162
+ "learning_rate": 0.0002498916706320637,
163
+ "loss": 13.0072,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.021909622805925556,
168
+ "grad_norm": 7.3595051765441895,
169
+ "learning_rate": 0.00024987108263946215,
170
+ "loss": 12.4328,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.022905514751649446,
175
+ "grad_norm": 10.374775886535645,
176
+ "learning_rate": 0.00024984870566919273,
177
+ "loss": 13.644,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.023901406697373336,
182
+ "grad_norm": 7.763638496398926,
183
+ "learning_rate": 0.00024982454004184127,
184
+ "loss": 12.0825,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.024897298643097223,
189
+ "grad_norm": 8.642582893371582,
190
+ "learning_rate": 0.0002497985861036189,
191
+ "loss": 13.2585,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.025893190588821113,
196
+ "grad_norm": 7.242372035980225,
197
+ "learning_rate": 0.0002497708442263573,
198
+ "loss": 11.6953,
199
+ "step": 26
200
+ },
201
+ {
202
+ "epoch": 0.026889082534545,
203
+ "grad_norm": 7.458141326904297,
204
+ "learning_rate": 0.0002497413148075032,
205
+ "loss": 12.0056,
206
+ "step": 27
207
+ },
208
+ {
209
+ "epoch": 0.02788497448026889,
210
+ "grad_norm": 7.2677836418151855,
211
+ "learning_rate": 0.0002497099982701126,
212
+ "loss": 11.1914,
213
+ "step": 28
214
+ },
215
+ {
216
+ "epoch": 0.02888086642599278,
217
+ "grad_norm": 7.0768022537231445,
218
+ "learning_rate": 0.0002496768950628449,
219
+ "loss": 12.0455,
220
+ "step": 29
221
+ },
222
+ {
223
+ "epoch": 0.029876758371716668,
224
+ "grad_norm": 7.336495399475098,
225
+ "learning_rate": 0.0002496420056599565,
226
+ "loss": 13.927,
227
+ "step": 30
228
+ },
229
+ {
230
+ "epoch": 0.030872650317440558,
231
+ "grad_norm": 6.7654829025268555,
232
+ "learning_rate": 0.00024960533056129374,
233
+ "loss": 11.885,
234
+ "step": 31
235
+ },
236
+ {
237
+ "epoch": 0.03186854226316445,
238
+ "grad_norm": 7.940896511077881,
239
+ "learning_rate": 0.000249566870292286,
240
+ "loss": 13.0075,
241
+ "step": 32
242
+ },
243
+ {
244
+ "epoch": 0.032864434208888335,
245
+ "grad_norm": 6.816346168518066,
246
+ "learning_rate": 0.000249526625403938,
247
+ "loss": 12.771,
248
+ "step": 33
249
+ },
250
+ {
251
+ "epoch": 0.03386032615461222,
252
+ "grad_norm": 6.953782081604004,
253
+ "learning_rate": 0.0002494845964728221,
254
+ "loss": 13.2487,
255
+ "step": 34
256
+ },
257
+ {
258
+ "epoch": 0.034856218100336116,
259
+ "grad_norm": 8.73217487335205,
260
+ "learning_rate": 0.0002494407841010699,
261
+ "loss": 13.9326,
262
+ "step": 35
263
+ },
264
+ {
265
+ "epoch": 0.03585211004606,
266
+ "grad_norm": 6.887628078460693,
267
+ "learning_rate": 0.0002493951889163634,
268
+ "loss": 11.7964,
269
+ "step": 36
270
+ },
271
+ {
272
+ "epoch": 0.03684800199178389,
273
+ "grad_norm": 6.188755035400391,
274
+ "learning_rate": 0.00024934781157192666,
275
+ "loss": 12.3109,
276
+ "step": 37
277
+ },
278
+ {
279
+ "epoch": 0.03784389393750778,
280
+ "grad_norm": 6.760220527648926,
281
+ "learning_rate": 0.00024929865274651565,
282
+ "loss": 12.6023,
283
+ "step": 38
284
+ },
285
+ {
286
+ "epoch": 0.03883978588323167,
287
+ "grad_norm": 7.21213436126709,
288
+ "learning_rate": 0.0002492477131444091,
289
+ "loss": 13.9952,
290
+ "step": 39
291
+ },
292
+ {
293
+ "epoch": 0.03983567782895556,
294
+ "grad_norm": 7.4104485511779785,
295
+ "learning_rate": 0.00024919499349539815,
296
+ "loss": 13.8991,
297
+ "step": 40
298
+ },
299
+ {
300
+ "epoch": 0.04083156977467945,
301
+ "grad_norm": 6.497596740722656,
302
+ "learning_rate": 0.0002491404945547759,
303
+ "loss": 12.7215,
304
+ "step": 41
305
+ },
306
+ {
307
+ "epoch": 0.04182746172040334,
308
+ "grad_norm": 7.254849433898926,
309
+ "learning_rate": 0.0002490842171033268,
310
+ "loss": 12.7342,
311
+ "step": 42
312
+ },
313
+ {
314
+ "epoch": 0.042823353666127224,
315
+ "grad_norm": 6.134991645812988,
316
+ "learning_rate": 0.0002490261619473152,
317
+ "loss": 11.3577,
318
+ "step": 43
319
+ },
320
+ {
321
+ "epoch": 0.04381924561185111,
322
+ "grad_norm": 6.685878276824951,
323
+ "learning_rate": 0.0002489663299184738,
324
+ "loss": 12.3739,
325
+ "step": 44
326
+ },
327
+ {
328
+ "epoch": 0.044815137557575005,
329
+ "grad_norm": 7.548392295837402,
330
+ "learning_rate": 0.00024890472187399216,
331
+ "loss": 12.5839,
332
+ "step": 45
333
+ },
334
+ {
335
+ "epoch": 0.04581102950329889,
336
+ "grad_norm": 6.434916973114014,
337
+ "learning_rate": 0.00024884133869650376,
338
+ "loss": 12.3762,
339
+ "step": 46
340
+ },
341
+ {
342
+ "epoch": 0.04680692144902278,
343
+ "grad_norm": 7.479133605957031,
344
+ "learning_rate": 0.00024877618129407386,
345
+ "loss": 13.4078,
346
+ "step": 47
347
+ },
348
+ {
349
+ "epoch": 0.04780281339474667,
350
+ "grad_norm": 6.191986083984375,
351
+ "learning_rate": 0.00024870925060018633,
352
+ "loss": 11.6391,
353
+ "step": 48
354
+ },
355
+ {
356
+ "epoch": 0.04879870534047056,
357
+ "grad_norm": 6.074136257171631,
358
+ "learning_rate": 0.00024864054757373023,
359
+ "loss": 11.4169,
360
+ "step": 49
361
+ },
362
+ {
363
+ "epoch": 0.049794597286194446,
364
+ "grad_norm": 6.535557270050049,
365
+ "learning_rate": 0.0002485700731989861,
366
+ "loss": 12.7648,
367
+ "step": 50
368
+ },
369
+ {
370
+ "epoch": 0.05079048923191834,
371
+ "grad_norm": 7.5086517333984375,
372
+ "learning_rate": 0.0002484978284856119,
373
+ "loss": 13.1785,
374
+ "step": 51
375
+ },
376
+ {
377
+ "epoch": 0.05178638117764223,
378
+ "grad_norm": 6.3925395011901855,
379
+ "learning_rate": 0.00024842381446862856,
380
+ "loss": 12.2323,
381
+ "step": 52
382
+ },
383
+ {
384
+ "epoch": 0.052782273123366114,
385
+ "grad_norm": 6.091940879821777,
386
+ "learning_rate": 0.000248348032208405,
387
+ "loss": 11.4875,
388
+ "step": 53
389
+ },
390
+ {
391
+ "epoch": 0.05377816506909,
392
+ "grad_norm": 6.079466342926025,
393
+ "learning_rate": 0.0002482704827906432,
394
+ "loss": 11.7412,
395
+ "step": 54
396
+ },
397
+ {
398
+ "epoch": 0.054774057014813894,
399
+ "grad_norm": 7.269871234893799,
400
+ "learning_rate": 0.0002481911673263624,
401
+ "loss": 13.4444,
402
+ "step": 55
403
+ },
404
+ {
405
+ "epoch": 0.05576994896053778,
406
+ "grad_norm": 6.833920955657959,
407
+ "learning_rate": 0.00024811008695188326,
408
+ "loss": 13.2974,
409
+ "step": 56
410
+ },
411
+ {
412
+ "epoch": 0.05676584090626167,
413
+ "grad_norm": 6.509270668029785,
414
+ "learning_rate": 0.0002480272428288116,
415
+ "loss": 13.3969,
416
+ "step": 57
417
+ },
418
+ {
419
+ "epoch": 0.05776173285198556,
420
+ "grad_norm": 6.10461950302124,
421
+ "learning_rate": 0.00024794263614402176,
422
+ "loss": 13.0233,
423
+ "step": 58
424
+ },
425
+ {
426
+ "epoch": 0.05875762479770945,
427
+ "grad_norm": 6.248282432556152,
428
+ "learning_rate": 0.0002478562681096397,
429
+ "loss": 11.664,
430
+ "step": 59
431
+ },
432
+ {
433
+ "epoch": 0.059753516743433335,
434
+ "grad_norm": 5.46411657333374,
435
+ "learning_rate": 0.0002477681399630253,
436
+ "loss": 10.8694,
437
+ "step": 60
438
+ },
439
+ {
440
+ "epoch": 0.06074940868915723,
441
+ "grad_norm": 6.836920738220215,
442
+ "learning_rate": 0.00024767825296675516,
443
+ "loss": 12.7564,
444
+ "step": 61
445
+ },
446
+ {
447
+ "epoch": 0.061745300634881116,
448
+ "grad_norm": 8.421375274658203,
449
+ "learning_rate": 0.000247586608408604,
450
+ "loss": 12.9136,
451
+ "step": 62
452
+ },
453
+ {
454
+ "epoch": 0.06274119258060501,
455
+ "grad_norm": 5.612268924713135,
456
+ "learning_rate": 0.00024749320760152635,
457
+ "loss": 11.2727,
458
+ "step": 63
459
+ },
460
+ {
461
+ "epoch": 0.0637370845263289,
462
+ "grad_norm": 7.760491371154785,
463
+ "learning_rate": 0.00024739805188363803,
464
+ "loss": 13.7674,
465
+ "step": 64
466
+ },
467
+ {
468
+ "epoch": 0.06473297647205278,
469
+ "grad_norm": 8.422126770019531,
470
+ "learning_rate": 0.00024730114261819656,
471
+ "loss": 12.9104,
472
+ "step": 65
473
+ },
474
+ {
475
+ "epoch": 0.06572886841777667,
476
+ "grad_norm": 7.5595831871032715,
477
+ "learning_rate": 0.0002472024811935821,
478
+ "loss": 12.0906,
479
+ "step": 66
480
+ },
481
+ {
482
+ "epoch": 0.06672476036350056,
483
+ "grad_norm": 7.558265209197998,
484
+ "learning_rate": 0.0002471020690232769,
485
+ "loss": 11.7225,
486
+ "step": 67
487
+ },
488
+ {
489
+ "epoch": 0.06772065230922444,
490
+ "grad_norm": 8.700068473815918,
491
+ "learning_rate": 0.00024699990754584584,
492
+ "loss": 12.7639,
493
+ "step": 68
494
+ },
495
+ {
496
+ "epoch": 0.06871654425494834,
497
+ "grad_norm": 6.340944766998291,
498
+ "learning_rate": 0.0002468959982249151,
499
+ "loss": 12.6408,
500
+ "step": 69
501
+ },
502
+ {
503
+ "epoch": 0.06971243620067223,
504
+ "grad_norm": 5.689936637878418,
505
+ "learning_rate": 0.0002467903425491517,
506
+ "loss": 11.4365,
507
+ "step": 70
508
+ },
509
+ {
510
+ "epoch": 0.07070832814639612,
511
+ "grad_norm": 6.519106864929199,
512
+ "learning_rate": 0.00024668294203224184,
513
+ "loss": 11.9108,
514
+ "step": 71
515
+ },
516
+ {
517
+ "epoch": 0.07170422009212,
518
+ "grad_norm": 5.775708198547363,
519
+ "learning_rate": 0.00024657379821286954,
520
+ "loss": 11.2813,
521
+ "step": 72
522
+ },
523
+ {
524
+ "epoch": 0.07270011203784389,
525
+ "grad_norm": 6.3621296882629395,
526
+ "learning_rate": 0.00024646291265469425,
527
+ "loss": 11.5422,
528
+ "step": 73
529
+ },
530
+ {
531
+ "epoch": 0.07369600398356778,
532
+ "grad_norm": 6.622462749481201,
533
+ "learning_rate": 0.0002463502869463287,
534
+ "loss": 12.9495,
535
+ "step": 74
536
+ },
537
+ {
538
+ "epoch": 0.07469189592929167,
539
+ "grad_norm": 7.1500163078308105,
540
+ "learning_rate": 0.0002462359227013159,
541
+ "loss": 13.1289,
542
+ "step": 75
543
+ },
544
+ {
545
+ "epoch": 0.07568778787501557,
546
+ "grad_norm": 6.552374362945557,
547
+ "learning_rate": 0.0002461198215581064,
548
+ "loss": 11.7408,
549
+ "step": 76
550
+ },
551
+ {
552
+ "epoch": 0.07668367982073945,
553
+ "grad_norm": 6.086798191070557,
554
+ "learning_rate": 0.00024600198518003453,
555
+ "loss": 11.8846,
556
+ "step": 77
557
+ },
558
+ {
559
+ "epoch": 0.07767957176646334,
560
+ "grad_norm": 7.924241065979004,
561
+ "learning_rate": 0.00024588241525529445,
562
+ "loss": 13.0962,
563
+ "step": 78
564
+ },
565
+ {
566
+ "epoch": 0.07867546371218723,
567
+ "grad_norm": 6.5235090255737305,
568
+ "learning_rate": 0.0002457611134969164,
569
+ "loss": 11.482,
570
+ "step": 79
571
+ },
572
+ {
573
+ "epoch": 0.07967135565791111,
574
+ "grad_norm": 6.921808242797852,
575
+ "learning_rate": 0.0002456380816427417,
576
+ "loss": 12.5718,
577
+ "step": 80
578
+ },
579
+ {
580
+ "epoch": 0.080667247603635,
581
+ "grad_norm": 6.6802077293396,
582
+ "learning_rate": 0.0002455133214553981,
583
+ "loss": 11.822,
584
+ "step": 81
585
+ },
586
+ {
587
+ "epoch": 0.0816631395493589,
588
+ "grad_norm": 6.431028366088867,
589
+ "learning_rate": 0.0002453868347222746,
590
+ "loss": 13.067,
591
+ "step": 82
592
+ },
593
+ {
594
+ "epoch": 0.08265903149508279,
595
+ "grad_norm": 6.637655735015869,
596
+ "learning_rate": 0.0002452586232554956,
597
+ "loss": 13.5535,
598
+ "step": 83
599
+ },
600
+ {
601
+ "epoch": 0.08365492344080667,
602
+ "grad_norm": 6.012635231018066,
603
+ "learning_rate": 0.0002451286888918951,
604
+ "loss": 12.0727,
605
+ "step": 84
606
+ },
607
+ {
608
+ "epoch": 0.08465081538653056,
609
+ "grad_norm": 6.7169508934021,
610
+ "learning_rate": 0.00024499703349299034,
611
+ "loss": 12.3954,
612
+ "step": 85
613
+ },
614
+ {
615
+ "epoch": 0.08564670733225445,
616
+ "grad_norm": 6.19224214553833,
617
+ "learning_rate": 0.0002448636589449552,
618
+ "loss": 12.1299,
619
+ "step": 86
620
+ },
621
+ {
622
+ "epoch": 0.08664259927797834,
623
+ "grad_norm": 5.419031143188477,
624
+ "learning_rate": 0.0002447285671585931,
625
+ "loss": 10.0219,
626
+ "step": 87
627
+ },
628
+ {
629
+ "epoch": 0.08763849122370222,
630
+ "grad_norm": 6.183884143829346,
631
+ "learning_rate": 0.00024459176006930947,
632
+ "loss": 13.1559,
633
+ "step": 88
634
+ },
635
+ {
636
+ "epoch": 0.08863438316942612,
637
+ "grad_norm": 5.832536697387695,
638
+ "learning_rate": 0.0002444532396370844,
639
+ "loss": 11.4276,
640
+ "step": 89
641
+ },
642
+ {
643
+ "epoch": 0.08963027511515001,
644
+ "grad_norm": 6.158980846405029,
645
+ "learning_rate": 0.0002443130078464444,
646
+ "loss": 12.6743,
647
+ "step": 90
648
+ },
649
+ {
650
+ "epoch": 0.0906261670608739,
651
+ "grad_norm": 7.851455211639404,
652
+ "learning_rate": 0.0002441710667064337,
653
+ "loss": 15.0347,
654
+ "step": 91
655
+ },
656
+ {
657
+ "epoch": 0.09162205900659778,
658
+ "grad_norm": 6.618966102600098,
659
+ "learning_rate": 0.00024402741825058576,
660
+ "loss": 12.8038,
661
+ "step": 92
662
+ },
663
+ {
664
+ "epoch": 0.09261795095232167,
665
+ "grad_norm": 7.711861610412598,
666
+ "learning_rate": 0.0002438820645368942,
667
+ "loss": 14.378,
668
+ "step": 93
669
+ },
670
+ {
671
+ "epoch": 0.09361384289804556,
672
+ "grad_norm": 6.327939510345459,
673
+ "learning_rate": 0.00024373500764778307,
674
+ "loss": 11.8801,
675
+ "step": 94
676
+ },
677
+ {
678
+ "epoch": 0.09460973484376944,
679
+ "grad_norm": 6.685515880584717,
680
+ "learning_rate": 0.00024358624969007705,
681
+ "loss": 12.5321,
682
+ "step": 95
683
+ },
684
+ {
685
+ "epoch": 0.09560562678949334,
686
+ "grad_norm": 6.379256725311279,
687
+ "learning_rate": 0.0002434357927949716,
688
+ "loss": 12.7246,
689
+ "step": 96
690
+ },
691
+ {
692
+ "epoch": 0.09660151873521723,
693
+ "grad_norm": 5.819457054138184,
694
+ "learning_rate": 0.00024328363911800183,
695
+ "loss": 11.6533,
696
+ "step": 97
697
+ },
698
+ {
699
+ "epoch": 0.09759741068094112,
700
+ "grad_norm": 6.651020050048828,
701
+ "learning_rate": 0.00024312979083901227,
702
+ "loss": 13.6643,
703
+ "step": 98
704
+ },
705
+ {
706
+ "epoch": 0.098593302626665,
707
+ "grad_norm": 6.834366321563721,
708
+ "learning_rate": 0.00024297425016212517,
709
+ "loss": 12.5779,
710
+ "step": 99
711
+ },
712
+ {
713
+ "epoch": 0.09958919457238889,
714
+ "grad_norm": 5.578615188598633,
715
+ "learning_rate": 0.0002428170193157091,
716
+ "loss": 12.1336,
717
+ "step": 100
718
+ },
719
+ {
720
+ "epoch": 0.09958919457238889,
721
+ "eval_loss": 1.5528450012207031,
722
+ "eval_runtime": 289.8128,
723
+ "eval_samples_per_second": 4.62,
724
+ "eval_steps_per_second": 1.156,
725
+ "step": 100
726
+ }
727
+ ],
728
+ "logging_steps": 1,
729
+ "max_steps": 840,
730
+ "num_input_tokens_seen": 0,
731
+ "num_train_epochs": 1,
732
+ "save_steps": 100,
733
+ "stateful_callbacks": {
734
+ "EarlyStoppingCallback": {
735
+ "args": {
736
+ "early_stopping_patience": 2,
737
+ "early_stopping_threshold": 0.0
738
+ },
739
+ "attributes": {
740
+ "early_stopping_patience_counter": 0
741
+ }
742
+ },
743
+ "TrainerControl": {
744
+ "args": {
745
+ "should_epoch_stop": false,
746
+ "should_evaluate": false,
747
+ "should_log": false,
748
+ "should_save": true,
749
+ "should_training_stop": false
750
+ },
751
+ "attributes": {}
752
+ }
753
+ },
754
+ "total_flos": 5.10284192022528e+17,
755
+ "train_batch_size": 4,
756
+ "trial_name": null,
757
+ "trial_params": null
758
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8312e2b850d76c364fa67db8a228f2687c49e01033d0817cd8712a1ab6d4e93b
3
+ size 6776