azherali commited on
Commit
80f7428
·
verified ·
1 Parent(s): b81b0ab

Training in progress, step 4000, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,206 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: microsoft/codebert-base
3
+ library_name: peft
4
+ tags:
5
+ - base_model:adapter:microsoft/codebert-base
6
+ - lora
7
+ - transformers
8
+ ---
9
+
10
+ # Model Card for Model ID
11
+
12
+ <!-- Provide a quick summary of what the model is/does. -->
13
+
14
+
15
+
16
+ ## Model Details
17
+
18
+ ### Model Description
19
+
20
+ <!-- Provide a longer summary of what this model is. -->
21
+
22
+
23
+
24
+ - **Developed by:** [More Information Needed]
25
+ - **Funded by [optional]:** [More Information Needed]
26
+ - **Shared by [optional]:** [More Information Needed]
27
+ - **Model type:** [More Information Needed]
28
+ - **Language(s) (NLP):** [More Information Needed]
29
+ - **License:** [More Information Needed]
30
+ - **Finetuned from model [optional]:** [More Information Needed]
31
+
32
+ ### Model Sources [optional]
33
+
34
+ <!-- Provide the basic links for the model. -->
35
+
36
+ - **Repository:** [More Information Needed]
37
+ - **Paper [optional]:** [More Information Needed]
38
+ - **Demo [optional]:** [More Information Needed]
39
+
40
+ ## Uses
41
+
42
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
43
+
44
+ ### Direct Use
45
+
46
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
47
+
48
+ [More Information Needed]
49
+
50
+ ### Downstream Use [optional]
51
+
52
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
53
+
54
+ [More Information Needed]
55
+
56
+ ### Out-of-Scope Use
57
+
58
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
59
+
60
+ [More Information Needed]
61
+
62
+ ## Bias, Risks, and Limitations
63
+
64
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
65
+
66
+ [More Information Needed]
67
+
68
+ ### Recommendations
69
+
70
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
71
+
72
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
73
+
74
+ ## How to Get Started with the Model
75
+
76
+ Use the code below to get started with the model.
77
+
78
+ [More Information Needed]
79
+
80
+ ## Training Details
81
+
82
+ ### Training Data
83
+
84
+ <!-- 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. -->
85
+
86
+ [More Information Needed]
87
+
88
+ ### Training Procedure
89
+
90
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
91
+
92
+ #### Preprocessing [optional]
93
+
94
+ [More Information Needed]
95
+
96
+
97
+ #### Training Hyperparameters
98
+
99
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
100
+
101
+ #### Speeds, Sizes, Times [optional]
102
+
103
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
104
+
105
+ [More Information Needed]
106
+
107
+ ## Evaluation
108
+
109
+ <!-- This section describes the evaluation protocols and provides the results. -->
110
+
111
+ ### Testing Data, Factors & Metrics
112
+
113
+ #### Testing Data
114
+
115
+ <!-- This should link to a Dataset Card if possible. -->
116
+
117
+ [More Information Needed]
118
+
119
+ #### Factors
120
+
121
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
122
+
123
+ [More Information Needed]
124
+
125
+ #### Metrics
126
+
127
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
128
+
129
+ [More Information Needed]
130
+
131
+ ### Results
132
+
133
+ [More Information Needed]
134
+
135
+ #### Summary
136
+
137
+
138
+
139
+ ## Model Examination [optional]
140
+
141
+ <!-- Relevant interpretability work for the model goes here -->
142
+
143
+ [More Information Needed]
144
+
145
+ ## Environmental Impact
146
+
147
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
148
+
149
+ 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).
150
+
151
+ - **Hardware Type:** [More Information Needed]
152
+ - **Hours used:** [More Information Needed]
153
+ - **Cloud Provider:** [More Information Needed]
154
+ - **Compute Region:** [More Information Needed]
155
+ - **Carbon Emitted:** [More Information Needed]
156
+
157
+ ## Technical Specifications [optional]
158
+
159
+ ### Model Architecture and Objective
160
+
161
+ [More Information Needed]
162
+
163
+ ### Compute Infrastructure
164
+
165
+ [More Information Needed]
166
+
167
+ #### Hardware
168
+
169
+ [More Information Needed]
170
+
171
+ #### Software
172
+
173
+ [More Information Needed]
174
+
175
+ ## Citation [optional]
176
+
177
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
178
+
179
+ **BibTeX:**
180
+
181
+ [More Information Needed]
182
+
183
+ **APA:**
184
+
185
+ [More Information Needed]
186
+
187
+ ## Glossary [optional]
188
+
189
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
190
+
191
+ [More Information Needed]
192
+
193
+ ## More Information [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Authors [optional]
198
+
199
+ [More Information Needed]
200
+
201
+ ## Model Card Contact
202
+
203
+ [More Information Needed]
204
+ ### Framework versions
205
+
206
+ - PEFT 0.18.0
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "microsoft/codebert-base",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 16,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.05,
22
+ "megatron_config": null,
23
+ "megatron_core": "megatron.core",
24
+ "modules_to_save": [
25
+ "classifier",
26
+ "score"
27
+ ],
28
+ "peft_type": "LORA",
29
+ "peft_version": "0.18.0",
30
+ "qalora_group_size": 16,
31
+ "r": 8,
32
+ "rank_pattern": {},
33
+ "revision": null,
34
+ "target_modules": [
35
+ "query",
36
+ "value"
37
+ ],
38
+ "target_parameters": null,
39
+ "task_type": "SEQ_CLS",
40
+ "trainable_token_indices": null,
41
+ "use_dora": false,
42
+ "use_qalora": false,
43
+ "use_rslora": false
44
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:287ec11c7aa9785f19f3325e8990b5f18d5c57ec38761318955258821030fe27
3
+ size 3555504
last-checkpoint/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c31a150124a7ea427f43bc4ac445d44ad12e21e99ecd6c98da84ba3d565dd351
3
+ size 7141515
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74d09515db2365d54ed4fb3e4ed5de4469a5250824cf3ae5896f1be16012963a
3
+ size 14645
last-checkpoint/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a673142a4765448623d7954beb82b8e41b9b2064038630b1fde69d4143bc2a13
3
+ size 1383
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d62c438edc2d4a191166e0bbea3d27e3a449ada773ef41a1c9aec359a7c4c829
3
+ size 1465
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "<s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "<mask>",
25
+ "lstrip": true,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "</s>",
39
+ "lstrip": false,
40
+ "normalized": true,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "<unk>",
46
+ "lstrip": false,
47
+ "normalized": true,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
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 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<s>",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<pad>",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "</s>",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "50264": {
37
+ "content": "<mask>",
38
+ "lstrip": true,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ }
44
+ },
45
+ "bos_token": "<s>",
46
+ "clean_up_tokenization_spaces": false,
47
+ "cls_token": "<s>",
48
+ "eos_token": "</s>",
49
+ "errors": "replace",
50
+ "extra_special_tokens": {},
51
+ "mask_token": "<mask>",
52
+ "model_max_length": 512,
53
+ "pad_token": "<pad>",
54
+ "sep_token": "</s>",
55
+ "tokenizer_class": "RobertaTokenizer",
56
+ "trim_offsets": true,
57
+ "unk_token": "<unk>"
58
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,335 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 4000,
3
+ "best_metric": 0.9586218246722099,
4
+ "best_model_checkpoint": "CodeGenDetect-CodeBert_Lora/checkpoint-4000",
5
+ "epoch": 0.128,
6
+ "eval_steps": 4000,
7
+ "global_step": 4000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0032,
14
+ "grad_norm": 1.3923053741455078,
15
+ "learning_rate": 3.96e-06,
16
+ "loss": 0.685,
17
+ "step": 100
18
+ },
19
+ {
20
+ "epoch": 0.0064,
21
+ "grad_norm": 1.665050983428955,
22
+ "learning_rate": 7.960000000000002e-06,
23
+ "loss": 0.6654,
24
+ "step": 200
25
+ },
26
+ {
27
+ "epoch": 0.0096,
28
+ "grad_norm": 3.1655123233795166,
29
+ "learning_rate": 1.196e-05,
30
+ "loss": 0.6169,
31
+ "step": 300
32
+ },
33
+ {
34
+ "epoch": 0.0128,
35
+ "grad_norm": 3.3807435035705566,
36
+ "learning_rate": 1.5960000000000003e-05,
37
+ "loss": 0.4635,
38
+ "step": 400
39
+ },
40
+ {
41
+ "epoch": 0.016,
42
+ "grad_norm": 0.7963143587112427,
43
+ "learning_rate": 1.9960000000000002e-05,
44
+ "loss": 0.2886,
45
+ "step": 500
46
+ },
47
+ {
48
+ "epoch": 0.0192,
49
+ "grad_norm": 1.5362155437469482,
50
+ "learning_rate": 1.9987287319422154e-05,
51
+ "loss": 0.2605,
52
+ "step": 600
53
+ },
54
+ {
55
+ "epoch": 0.0224,
56
+ "grad_norm": 3.649484395980835,
57
+ "learning_rate": 1.9974446227929375e-05,
58
+ "loss": 0.2194,
59
+ "step": 700
60
+ },
61
+ {
62
+ "epoch": 0.0256,
63
+ "grad_norm": 1.402876377105713,
64
+ "learning_rate": 1.99616051364366e-05,
65
+ "loss": 0.2367,
66
+ "step": 800
67
+ },
68
+ {
69
+ "epoch": 0.0288,
70
+ "grad_norm": 2.708932399749756,
71
+ "learning_rate": 1.994876404494382e-05,
72
+ "loss": 0.2061,
73
+ "step": 900
74
+ },
75
+ {
76
+ "epoch": 0.032,
77
+ "grad_norm": 2.4827463626861572,
78
+ "learning_rate": 1.9935922953451046e-05,
79
+ "loss": 0.1892,
80
+ "step": 1000
81
+ },
82
+ {
83
+ "epoch": 0.0352,
84
+ "grad_norm": 0.9402571320533752,
85
+ "learning_rate": 1.9923081861958268e-05,
86
+ "loss": 0.1819,
87
+ "step": 1100
88
+ },
89
+ {
90
+ "epoch": 0.0384,
91
+ "grad_norm": 0.8088085055351257,
92
+ "learning_rate": 1.9910240770465493e-05,
93
+ "loss": 0.1894,
94
+ "step": 1200
95
+ },
96
+ {
97
+ "epoch": 0.0416,
98
+ "grad_norm": 2.8913955688476562,
99
+ "learning_rate": 1.9897399678972714e-05,
100
+ "loss": 0.1733,
101
+ "step": 1300
102
+ },
103
+ {
104
+ "epoch": 0.0448,
105
+ "grad_norm": 1.9755029678344727,
106
+ "learning_rate": 1.988455858747994e-05,
107
+ "loss": 0.1748,
108
+ "step": 1400
109
+ },
110
+ {
111
+ "epoch": 0.048,
112
+ "grad_norm": 2.659393310546875,
113
+ "learning_rate": 1.987171749598716e-05,
114
+ "loss": 0.1557,
115
+ "step": 1500
116
+ },
117
+ {
118
+ "epoch": 0.0512,
119
+ "grad_norm": 10.118029594421387,
120
+ "learning_rate": 1.9858876404494382e-05,
121
+ "loss": 0.1702,
122
+ "step": 1600
123
+ },
124
+ {
125
+ "epoch": 0.0544,
126
+ "grad_norm": 3.736616373062134,
127
+ "learning_rate": 1.9846035313001607e-05,
128
+ "loss": 0.1694,
129
+ "step": 1700
130
+ },
131
+ {
132
+ "epoch": 0.0576,
133
+ "grad_norm": 4.140033721923828,
134
+ "learning_rate": 1.9833194221508828e-05,
135
+ "loss": 0.1615,
136
+ "step": 1800
137
+ },
138
+ {
139
+ "epoch": 0.0608,
140
+ "grad_norm": 4.504345893859863,
141
+ "learning_rate": 1.9820353130016053e-05,
142
+ "loss": 0.1425,
143
+ "step": 1900
144
+ },
145
+ {
146
+ "epoch": 0.064,
147
+ "grad_norm": 5.786899089813232,
148
+ "learning_rate": 1.9807512038523274e-05,
149
+ "loss": 0.1588,
150
+ "step": 2000
151
+ },
152
+ {
153
+ "epoch": 0.0672,
154
+ "grad_norm": 9.956130027770996,
155
+ "learning_rate": 1.97946709470305e-05,
156
+ "loss": 0.1399,
157
+ "step": 2100
158
+ },
159
+ {
160
+ "epoch": 0.0704,
161
+ "grad_norm": 11.86201286315918,
162
+ "learning_rate": 1.978182985553772e-05,
163
+ "loss": 0.173,
164
+ "step": 2200
165
+ },
166
+ {
167
+ "epoch": 0.0736,
168
+ "grad_norm": 0.6308254599571228,
169
+ "learning_rate": 1.9768988764044946e-05,
170
+ "loss": 0.1428,
171
+ "step": 2300
172
+ },
173
+ {
174
+ "epoch": 0.0768,
175
+ "grad_norm": 3.123718023300171,
176
+ "learning_rate": 1.9756147672552167e-05,
177
+ "loss": 0.1365,
178
+ "step": 2400
179
+ },
180
+ {
181
+ "epoch": 0.08,
182
+ "grad_norm": 3.8000500202178955,
183
+ "learning_rate": 1.9743306581059392e-05,
184
+ "loss": 0.1528,
185
+ "step": 2500
186
+ },
187
+ {
188
+ "epoch": 0.0832,
189
+ "grad_norm": 2.9149184226989746,
190
+ "learning_rate": 1.9730465489566613e-05,
191
+ "loss": 0.1568,
192
+ "step": 2600
193
+ },
194
+ {
195
+ "epoch": 0.0864,
196
+ "grad_norm": 8.345555305480957,
197
+ "learning_rate": 1.9717624398073838e-05,
198
+ "loss": 0.139,
199
+ "step": 2700
200
+ },
201
+ {
202
+ "epoch": 0.0896,
203
+ "grad_norm": 1.785736322402954,
204
+ "learning_rate": 1.970478330658106e-05,
205
+ "loss": 0.1509,
206
+ "step": 2800
207
+ },
208
+ {
209
+ "epoch": 0.0928,
210
+ "grad_norm": 5.256857872009277,
211
+ "learning_rate": 1.9691942215088284e-05,
212
+ "loss": 0.1284,
213
+ "step": 2900
214
+ },
215
+ {
216
+ "epoch": 0.096,
217
+ "grad_norm": 2.305225133895874,
218
+ "learning_rate": 1.967910112359551e-05,
219
+ "loss": 0.1249,
220
+ "step": 3000
221
+ },
222
+ {
223
+ "epoch": 0.0992,
224
+ "grad_norm": 1.1149404048919678,
225
+ "learning_rate": 1.966626003210273e-05,
226
+ "loss": 0.1223,
227
+ "step": 3100
228
+ },
229
+ {
230
+ "epoch": 0.1024,
231
+ "grad_norm": 0.24498392641544342,
232
+ "learning_rate": 1.9653418940609955e-05,
233
+ "loss": 0.1415,
234
+ "step": 3200
235
+ },
236
+ {
237
+ "epoch": 0.1056,
238
+ "grad_norm": 3.027209520339966,
239
+ "learning_rate": 1.9640577849117177e-05,
240
+ "loss": 0.133,
241
+ "step": 3300
242
+ },
243
+ {
244
+ "epoch": 0.1088,
245
+ "grad_norm": 10.783885955810547,
246
+ "learning_rate": 1.9627736757624402e-05,
247
+ "loss": 0.1309,
248
+ "step": 3400
249
+ },
250
+ {
251
+ "epoch": 0.112,
252
+ "grad_norm": 7.116244316101074,
253
+ "learning_rate": 1.9614895666131623e-05,
254
+ "loss": 0.1056,
255
+ "step": 3500
256
+ },
257
+ {
258
+ "epoch": 0.1152,
259
+ "grad_norm": 8.193492889404297,
260
+ "learning_rate": 1.9602054574638848e-05,
261
+ "loss": 0.1201,
262
+ "step": 3600
263
+ },
264
+ {
265
+ "epoch": 0.1184,
266
+ "grad_norm": 0.9174596071243286,
267
+ "learning_rate": 1.958921348314607e-05,
268
+ "loss": 0.12,
269
+ "step": 3700
270
+ },
271
+ {
272
+ "epoch": 0.1216,
273
+ "grad_norm": 3.436502695083618,
274
+ "learning_rate": 1.957637239165329e-05,
275
+ "loss": 0.1257,
276
+ "step": 3800
277
+ },
278
+ {
279
+ "epoch": 0.1248,
280
+ "grad_norm": 9.131117820739746,
281
+ "learning_rate": 1.9563531300160516e-05,
282
+ "loss": 0.1139,
283
+ "step": 3900
284
+ },
285
+ {
286
+ "epoch": 0.128,
287
+ "grad_norm": 0.3150777518749237,
288
+ "learning_rate": 1.9550690208667737e-05,
289
+ "loss": 0.1381,
290
+ "step": 4000
291
+ },
292
+ {
293
+ "epoch": 0.128,
294
+ "eval_accuracy": 0.9586,
295
+ "eval_f1": 0.9586218246722099,
296
+ "eval_loss": 0.1626722663640976,
297
+ "eval_precision": 0.9598553600795934,
298
+ "eval_recall": 0.9586,
299
+ "eval_runtime": 815.7025,
300
+ "eval_samples_per_second": 122.594,
301
+ "eval_steps_per_second": 7.662,
302
+ "step": 4000
303
+ }
304
+ ],
305
+ "logging_steps": 100,
306
+ "max_steps": 156250,
307
+ "num_input_tokens_seen": 0,
308
+ "num_train_epochs": 5,
309
+ "save_steps": 4000,
310
+ "stateful_callbacks": {
311
+ "EarlyStoppingCallback": {
312
+ "args": {
313
+ "early_stopping_patience": 3,
314
+ "early_stopping_threshold": 0.0
315
+ },
316
+ "attributes": {
317
+ "early_stopping_patience_counter": 0
318
+ }
319
+ },
320
+ "TrainerControl": {
321
+ "args": {
322
+ "should_epoch_stop": false,
323
+ "should_evaluate": false,
324
+ "should_log": false,
325
+ "should_save": true,
326
+ "should_training_stop": false
327
+ },
328
+ "attributes": {}
329
+ }
330
+ },
331
+ "total_flos": 1.6992838343814144e+16,
332
+ "train_batch_size": 16,
333
+ "trial_name": null,
334
+ "trial_params": null
335
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2431b318f5d57feb8902ee5487c8e4d2af146f7f76640e2a0d86b54b6c2eb6a3
3
+ size 5777
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff