lesso08 commited on
Commit
4a9e649
·
verified ·
1 Parent(s): c20865e

Training in progress, step 50, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: defog/sqlcoder-7b-2
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": "defog/sqlcoder-7b-2",
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": 128,
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": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "q_proj",
24
+ "down_proj",
25
+ "k_proj",
26
+ "gate_proj",
27
+ "o_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:a8a49a091a872ef62704ea49f3a58664e3abf27c03c8c8b0d49836256b20c0bd
3
+ size 639691872
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7be956b3d748691f14c008d0ef297a481a7325c76ce8fb7a7ffe144b5540dee7
3
+ size 325339796
last-checkpoint/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c8cbf9d903bf0816b05cc0952fee067cf09b9bdb153d5cc77076cf5f303247d
3
+ size 15984
last-checkpoint/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:22437fcb03e9d37c80f2e168fe330e3500981c5fc3338e25bd25138708710d87
3
+ size 15984
last-checkpoint/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:86daa9f6f7d1a01135f22e35016a3da71ff4996b60a4a113309932034093c642
3
+ size 15984
last-checkpoint/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2d0046f5e281489bd6ad0cd82d925d5c4ba8cbd8536559975badd7948bc271b
3
+ size 15984
last-checkpoint/rng_state_4.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c560dfff7c273995faa3f7e48b302f3de4a66340fa1364e523e4d736d1f7fb1
3
+ size 15984
last-checkpoint/rng_state_5.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1261a309c8ce47aa73685603c0e027addf62ad8dae6ec918dafd325149511546
3
+ size 15984
last-checkpoint/rng_state_6.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74cd71a129165caf155be810d4ec61ee104d8c48ccd09dd50f9640f2f4ed1619
3
+ size 15984
last-checkpoint/rng_state_7.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93317d3f1822a246edbaa1f880bff9fbd4f1d67942cc6634afd4d8835dd6786d
3
+ size 15984
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4b7e7d044a338e6b420016be2e48e692869df520a6f768a0f5ba8de63e9bb378
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "▁<PRE>",
4
+ "▁<MID>",
5
+ "▁<SUF>",
6
+ "▁<EOT>",
7
+ "▁<PRE>",
8
+ "▁<MID>",
9
+ "▁<SUF>",
10
+ "▁<EOT>"
11
+ ],
12
+ "bos_token": {
13
+ "content": "<s>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false
18
+ },
19
+ "eos_token": {
20
+ "content": "</s>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false
25
+ },
26
+ "pad_token": {
27
+ "content": "</s>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ },
33
+ "unk_token": {
34
+ "content": "<unk>",
35
+ "lstrip": false,
36
+ "normalized": false,
37
+ "rstrip": false,
38
+ "single_word": false
39
+ }
40
+ }
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 sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
3
+ size 500058
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,88 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "32007": {
30
+ "content": "▁<PRE>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "32008": {
38
+ "content": "▁<SUF>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "32009": {
46
+ "content": "▁<MID>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "32010": {
54
+ "content": "▁<EOT>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ }
61
+ },
62
+ "additional_special_tokens": [
63
+ "▁<PRE>",
64
+ "▁<MID>",
65
+ "▁<SUF>",
66
+ "▁<EOT>",
67
+ "▁<PRE>",
68
+ "▁<MID>",
69
+ "▁<SUF>",
70
+ "▁<EOT>"
71
+ ],
72
+ "bos_token": "<s>",
73
+ "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 %}",
74
+ "clean_up_tokenization_spaces": false,
75
+ "eos_token": "</s>",
76
+ "eot_token": "▁<EOT>",
77
+ "fill_token": "<FILL_ME>",
78
+ "legacy": null,
79
+ "middle_token": "▁<MID>",
80
+ "model_max_length": 1000000000000000019884624838656,
81
+ "pad_token": "</s>",
82
+ "prefix_token": "▁<PRE>",
83
+ "sp_model_kwargs": {},
84
+ "suffix_token": "▁<SUF>",
85
+ "tokenizer_class": "CodeLlamaTokenizer",
86
+ "unk_token": "<unk>",
87
+ "use_default_system_prompt": false
88
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.6940747499465942,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-50",
4
+ "epoch": 0.31347962382445144,
5
+ "eval_steps": 50,
6
+ "global_step": 50,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.006269592476489028,
13
+ "grad_norm": 0.1956695169210434,
14
+ "learning_rate": 1.0100000000000002e-05,
15
+ "loss": 1.4797,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.006269592476489028,
20
+ "eval_loss": 2.014873743057251,
21
+ "eval_runtime": 21.7647,
22
+ "eval_samples_per_second": 98.738,
23
+ "eval_steps_per_second": 3.124,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.012539184952978056,
28
+ "grad_norm": 0.21951091289520264,
29
+ "learning_rate": 2.0200000000000003e-05,
30
+ "loss": 1.8897,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.018808777429467086,
35
+ "grad_norm": 0.2182653844356537,
36
+ "learning_rate": 3.0299999999999998e-05,
37
+ "loss": 1.8755,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.025078369905956112,
42
+ "grad_norm": 0.3972433805465698,
43
+ "learning_rate": 4.0400000000000006e-05,
44
+ "loss": 2.0184,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.03134796238244514,
49
+ "grad_norm": 0.7481153607368469,
50
+ "learning_rate": 5.05e-05,
51
+ "loss": 2.1242,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.03761755485893417,
56
+ "grad_norm": 0.6163584589958191,
57
+ "learning_rate": 6.0599999999999996e-05,
58
+ "loss": 2.254,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.0438871473354232,
63
+ "grad_norm": 0.17153511941432953,
64
+ "learning_rate": 7.07e-05,
65
+ "loss": 1.4166,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.050156739811912224,
70
+ "grad_norm": 0.16584382951259613,
71
+ "learning_rate": 8.080000000000001e-05,
72
+ "loss": 1.7842,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.05642633228840126,
77
+ "grad_norm": 0.18644414842128754,
78
+ "learning_rate": 9.09e-05,
79
+ "loss": 1.8403,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.06269592476489028,
84
+ "grad_norm": 0.21256040036678314,
85
+ "learning_rate": 0.000101,
86
+ "loss": 1.9229,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.06896551724137931,
91
+ "grad_norm": 0.452114462852478,
92
+ "learning_rate": 0.00010046842105263158,
93
+ "loss": 1.9909,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.07523510971786834,
98
+ "grad_norm": 0.3007873296737671,
99
+ "learning_rate": 9.993684210526315e-05,
100
+ "loss": 1.995,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.08150470219435736,
105
+ "grad_norm": 0.22591519355773926,
106
+ "learning_rate": 9.940526315789473e-05,
107
+ "loss": 1.3466,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.0877742946708464,
112
+ "grad_norm": 0.22962772846221924,
113
+ "learning_rate": 9.887368421052632e-05,
114
+ "loss": 1.5942,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.09404388714733543,
119
+ "grad_norm": 0.20066531002521515,
120
+ "learning_rate": 9.83421052631579e-05,
121
+ "loss": 1.759,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.10031347962382445,
126
+ "grad_norm": 0.24357616901397705,
127
+ "learning_rate": 9.781052631578948e-05,
128
+ "loss": 1.7682,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.10658307210031348,
133
+ "grad_norm": 0.42487001419067383,
134
+ "learning_rate": 9.727894736842106e-05,
135
+ "loss": 1.8977,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.11285266457680251,
140
+ "grad_norm": 0.5519868731498718,
141
+ "learning_rate": 9.674736842105263e-05,
142
+ "loss": 1.8652,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.11912225705329153,
147
+ "grad_norm": 0.1837894469499588,
148
+ "learning_rate": 9.621578947368421e-05,
149
+ "loss": 1.2621,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.12539184952978055,
154
+ "grad_norm": 0.16041411459445953,
155
+ "learning_rate": 9.568421052631578e-05,
156
+ "loss": 1.4973,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.13166144200626959,
161
+ "grad_norm": 0.1466640830039978,
162
+ "learning_rate": 9.515263157894737e-05,
163
+ "loss": 1.6563,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.13793103448275862,
168
+ "grad_norm": 0.15411381423473358,
169
+ "learning_rate": 9.462105263157895e-05,
170
+ "loss": 1.8432,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.14420062695924765,
175
+ "grad_norm": 0.20786531269550323,
176
+ "learning_rate": 9.408947368421054e-05,
177
+ "loss": 1.866,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.15047021943573669,
182
+ "grad_norm": 0.27923616766929626,
183
+ "learning_rate": 9.355789473684211e-05,
184
+ "loss": 1.8369,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.15673981191222572,
189
+ "grad_norm": 0.45824792981147766,
190
+ "learning_rate": 9.302631578947369e-05,
191
+ "loss": 1.9946,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.16300940438871472,
196
+ "grad_norm": 0.11721207201480865,
197
+ "learning_rate": 9.249473684210526e-05,
198
+ "loss": 1.3217,
199
+ "step": 26
200
+ },
201
+ {
202
+ "epoch": 0.16927899686520376,
203
+ "grad_norm": 0.15526717901229858,
204
+ "learning_rate": 9.196315789473685e-05,
205
+ "loss": 1.7139,
206
+ "step": 27
207
+ },
208
+ {
209
+ "epoch": 0.1755485893416928,
210
+ "grad_norm": 0.15869063138961792,
211
+ "learning_rate": 9.143157894736843e-05,
212
+ "loss": 1.7312,
213
+ "step": 28
214
+ },
215
+ {
216
+ "epoch": 0.18181818181818182,
217
+ "grad_norm": 0.1636732816696167,
218
+ "learning_rate": 9.09e-05,
219
+ "loss": 1.7714,
220
+ "step": 29
221
+ },
222
+ {
223
+ "epoch": 0.18808777429467086,
224
+ "grad_norm": 0.20718851685523987,
225
+ "learning_rate": 9.036842105263158e-05,
226
+ "loss": 1.828,
227
+ "step": 30
228
+ },
229
+ {
230
+ "epoch": 0.19435736677115986,
231
+ "grad_norm": 0.30376043915748596,
232
+ "learning_rate": 8.983684210526316e-05,
233
+ "loss": 1.8697,
234
+ "step": 31
235
+ },
236
+ {
237
+ "epoch": 0.2006269592476489,
238
+ "grad_norm": 0.11045503616333008,
239
+ "learning_rate": 8.930526315789474e-05,
240
+ "loss": 1.3708,
241
+ "step": 32
242
+ },
243
+ {
244
+ "epoch": 0.20689655172413793,
245
+ "grad_norm": 0.14193548262119293,
246
+ "learning_rate": 8.877368421052632e-05,
247
+ "loss": 1.6054,
248
+ "step": 33
249
+ },
250
+ {
251
+ "epoch": 0.21316614420062696,
252
+ "grad_norm": 0.15867547690868378,
253
+ "learning_rate": 8.82421052631579e-05,
254
+ "loss": 1.6872,
255
+ "step": 34
256
+ },
257
+ {
258
+ "epoch": 0.219435736677116,
259
+ "grad_norm": 0.16795365512371063,
260
+ "learning_rate": 8.771052631578948e-05,
261
+ "loss": 1.8028,
262
+ "step": 35
263
+ },
264
+ {
265
+ "epoch": 0.22570532915360503,
266
+ "grad_norm": 0.19065167009830475,
267
+ "learning_rate": 8.717894736842105e-05,
268
+ "loss": 1.8083,
269
+ "step": 36
270
+ },
271
+ {
272
+ "epoch": 0.23197492163009403,
273
+ "grad_norm": 0.23978182673454285,
274
+ "learning_rate": 8.664736842105263e-05,
275
+ "loss": 1.8856,
276
+ "step": 37
277
+ },
278
+ {
279
+ "epoch": 0.23824451410658307,
280
+ "grad_norm": 0.13266095519065857,
281
+ "learning_rate": 8.61157894736842e-05,
282
+ "loss": 1.239,
283
+ "step": 38
284
+ },
285
+ {
286
+ "epoch": 0.2445141065830721,
287
+ "grad_norm": 0.1396464705467224,
288
+ "learning_rate": 8.55842105263158e-05,
289
+ "loss": 1.528,
290
+ "step": 39
291
+ },
292
+ {
293
+ "epoch": 0.2507836990595611,
294
+ "grad_norm": 0.15594753623008728,
295
+ "learning_rate": 8.505263157894737e-05,
296
+ "loss": 1.6795,
297
+ "step": 40
298
+ },
299
+ {
300
+ "epoch": 0.25705329153605017,
301
+ "grad_norm": 0.16817249357700348,
302
+ "learning_rate": 8.452105263157896e-05,
303
+ "loss": 1.7164,
304
+ "step": 41
305
+ },
306
+ {
307
+ "epoch": 0.26332288401253917,
308
+ "grad_norm": 0.18988773226737976,
309
+ "learning_rate": 8.398947368421053e-05,
310
+ "loss": 1.7163,
311
+ "step": 42
312
+ },
313
+ {
314
+ "epoch": 0.26959247648902823,
315
+ "grad_norm": 0.20697522163391113,
316
+ "learning_rate": 8.345789473684211e-05,
317
+ "loss": 1.7748,
318
+ "step": 43
319
+ },
320
+ {
321
+ "epoch": 0.27586206896551724,
322
+ "grad_norm": 0.14124108850955963,
323
+ "learning_rate": 8.292631578947368e-05,
324
+ "loss": 1.3559,
325
+ "step": 44
326
+ },
327
+ {
328
+ "epoch": 0.28213166144200624,
329
+ "grad_norm": 0.10386940836906433,
330
+ "learning_rate": 8.239473684210526e-05,
331
+ "loss": 1.4066,
332
+ "step": 45
333
+ },
334
+ {
335
+ "epoch": 0.2884012539184953,
336
+ "grad_norm": 0.15532410144805908,
337
+ "learning_rate": 8.186315789473683e-05,
338
+ "loss": 1.6759,
339
+ "step": 46
340
+ },
341
+ {
342
+ "epoch": 0.2946708463949843,
343
+ "grad_norm": 0.16163372993469238,
344
+ "learning_rate": 8.133157894736842e-05,
345
+ "loss": 1.6765,
346
+ "step": 47
347
+ },
348
+ {
349
+ "epoch": 0.30094043887147337,
350
+ "grad_norm": 0.18687112629413605,
351
+ "learning_rate": 8.080000000000001e-05,
352
+ "loss": 1.7736,
353
+ "step": 48
354
+ },
355
+ {
356
+ "epoch": 0.3072100313479624,
357
+ "grad_norm": 0.19891808927059174,
358
+ "learning_rate": 8.026842105263159e-05,
359
+ "loss": 1.7138,
360
+ "step": 49
361
+ },
362
+ {
363
+ "epoch": 0.31347962382445144,
364
+ "grad_norm": 0.546370267868042,
365
+ "learning_rate": 7.973684210526316e-05,
366
+ "loss": 1.8809,
367
+ "step": 50
368
+ },
369
+ {
370
+ "epoch": 0.31347962382445144,
371
+ "eval_loss": 1.6940747499465942,
372
+ "eval_runtime": 22.5071,
373
+ "eval_samples_per_second": 95.481,
374
+ "eval_steps_per_second": 3.021,
375
+ "step": 50
376
+ }
377
+ ],
378
+ "logging_steps": 1,
379
+ "max_steps": 200,
380
+ "num_input_tokens_seen": 0,
381
+ "num_train_epochs": 2,
382
+ "save_steps": 50,
383
+ "stateful_callbacks": {
384
+ "EarlyStoppingCallback": {
385
+ "args": {
386
+ "early_stopping_patience": 5,
387
+ "early_stopping_threshold": 0.0
388
+ },
389
+ "attributes": {
390
+ "early_stopping_patience_counter": 0
391
+ }
392
+ },
393
+ "TrainerControl": {
394
+ "args": {
395
+ "should_epoch_stop": false,
396
+ "should_evaluate": false,
397
+ "should_log": false,
398
+ "should_save": true,
399
+ "should_training_stop": false
400
+ },
401
+ "attributes": {}
402
+ }
403
+ },
404
+ "total_flos": 5.3985389026738176e+17,
405
+ "train_batch_size": 8,
406
+ "trial_name": null,
407
+ "trial_params": null
408
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8320e2a8daa205eaef5d194db02f592798e5485d32946f7bf12e2672fa412f43
3
+ size 6840