Upload folder using huggingface_hub
Browse files- config.json +38 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +253 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/chronos_data/smangalik/beliefs_modeling/models/self-belief-classifier-roberta-large-2",
|
3 |
+
"architectures": [
|
4 |
+
"RobertaForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 1024,
|
13 |
+
"id2label": {
|
14 |
+
"0": "LABEL_0",
|
15 |
+
"1": "LABEL_1",
|
16 |
+
"2": "LABEL_2"
|
17 |
+
},
|
18 |
+
"initializer_range": 0.02,
|
19 |
+
"intermediate_size": 4096,
|
20 |
+
"label2id": {
|
21 |
+
"LABEL_0": 0,
|
22 |
+
"LABEL_1": 1,
|
23 |
+
"LABEL_2": 2
|
24 |
+
},
|
25 |
+
"layer_norm_eps": 1e-05,
|
26 |
+
"max_position_embeddings": 514,
|
27 |
+
"model_type": "roberta",
|
28 |
+
"num_attention_heads": 16,
|
29 |
+
"num_hidden_layers": 24,
|
30 |
+
"pad_token_id": 1,
|
31 |
+
"position_embedding_type": "absolute",
|
32 |
+
"problem_type": "single_label_classification",
|
33 |
+
"torch_dtype": "float32",
|
34 |
+
"transformers_version": "4.33.2",
|
35 |
+
"type_vocab_size": 1,
|
36 |
+
"use_cache": true,
|
37 |
+
"vocab_size": 50265
|
38 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7091f108913dae1906a09d6b1fbbbb366edb874191834e6e168fe5d28cdd7adf
|
3 |
+
size 2843231032
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9009999344658926c39d28fba9999b2103aaf6854e24ee59b5739338fa355237
|
3 |
+
size 1421586865
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2a9dfb3dec5d1ce8ee849f07a32509f7e55cc98deef3120ae2d85edaade4ee58
|
3 |
+
size 14575
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:537fd16ac5c0059567c8a13dbd1f095bc887a2a3cc5c0c08d60416f39d3912b9
|
3 |
+
size 627
|
trainer_state.json
ADDED
@@ -0,0 +1,253 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8408180526634443,
|
3 |
+
"best_model_checkpoint": "/chronos_data/smangalik/beliefs_modeling/models/self-belief-classifier-roberta-large-4/checkpoint-400",
|
4 |
+
"epoch": 11.926605504587156,
|
5 |
+
"eval_steps": 50,
|
6 |
+
"global_step": 650,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.92,
|
13 |
+
"learning_rate": 9.800000000000001e-06,
|
14 |
+
"loss": 0.6617,
|
15 |
+
"step": 50
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.92,
|
19 |
+
"eval_accuracy": 0.8205128205128205,
|
20 |
+
"eval_f1": 0.819110295968641,
|
21 |
+
"eval_loss": 0.4295506179332733,
|
22 |
+
"eval_precision": 0.8192280280764046,
|
23 |
+
"eval_recall": 0.8205128205128205,
|
24 |
+
"eval_runtime": 3.9576,
|
25 |
+
"eval_samples_per_second": 128.108,
|
26 |
+
"eval_steps_per_second": 16.171,
|
27 |
+
"step": 50
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 1.83,
|
31 |
+
"learning_rate": 9.815094339622643e-06,
|
32 |
+
"loss": 0.3715,
|
33 |
+
"step": 100
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 1.83,
|
37 |
+
"eval_accuracy": 0.8303747534516766,
|
38 |
+
"eval_f1": 0.8353461502742431,
|
39 |
+
"eval_loss": 0.4670024514198303,
|
40 |
+
"eval_precision": 0.8434047624966725,
|
41 |
+
"eval_recall": 0.8303747534516766,
|
42 |
+
"eval_runtime": 3.9366,
|
43 |
+
"eval_samples_per_second": 128.79,
|
44 |
+
"eval_steps_per_second": 16.258,
|
45 |
+
"step": 100
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 2.75,
|
49 |
+
"learning_rate": 9.626415094339624e-06,
|
50 |
+
"loss": 0.2344,
|
51 |
+
"step": 150
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 2.75,
|
55 |
+
"eval_accuracy": 0.814595660749507,
|
56 |
+
"eval_f1": 0.8244485345966336,
|
57 |
+
"eval_loss": 0.6940962672233582,
|
58 |
+
"eval_precision": 0.8428588493485568,
|
59 |
+
"eval_recall": 0.814595660749507,
|
60 |
+
"eval_runtime": 3.4428,
|
61 |
+
"eval_samples_per_second": 147.263,
|
62 |
+
"eval_steps_per_second": 18.589,
|
63 |
+
"step": 150
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 3.67,
|
67 |
+
"learning_rate": 9.437735849056604e-06,
|
68 |
+
"loss": 0.1797,
|
69 |
+
"step": 200
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 3.67,
|
73 |
+
"eval_accuracy": 0.8264299802761341,
|
74 |
+
"eval_f1": 0.8329637103282812,
|
75 |
+
"eval_loss": 0.7602464556694031,
|
76 |
+
"eval_precision": 0.8480073311662002,
|
77 |
+
"eval_recall": 0.8264299802761341,
|
78 |
+
"eval_runtime": 3.5906,
|
79 |
+
"eval_samples_per_second": 141.203,
|
80 |
+
"eval_steps_per_second": 17.824,
|
81 |
+
"step": 200
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 4.59,
|
85 |
+
"learning_rate": 9.252830188679246e-06,
|
86 |
+
"loss": 0.1187,
|
87 |
+
"step": 250
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 4.59,
|
91 |
+
"eval_accuracy": 0.8165680473372781,
|
92 |
+
"eval_f1": 0.8260410505358732,
|
93 |
+
"eval_loss": 1.040390133857727,
|
94 |
+
"eval_precision": 0.8445598652695405,
|
95 |
+
"eval_recall": 0.8165680473372781,
|
96 |
+
"eval_runtime": 3.1667,
|
97 |
+
"eval_samples_per_second": 160.104,
|
98 |
+
"eval_steps_per_second": 20.21,
|
99 |
+
"step": 250
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 5.5,
|
103 |
+
"learning_rate": 9.067924528301889e-06,
|
104 |
+
"loss": 0.067,
|
105 |
+
"step": 300
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 5.5,
|
109 |
+
"eval_accuracy": 0.8264299802761341,
|
110 |
+
"eval_f1": 0.8313863456050801,
|
111 |
+
"eval_loss": 1.0527454614639282,
|
112 |
+
"eval_precision": 0.8389317220188415,
|
113 |
+
"eval_recall": 0.8264299802761341,
|
114 |
+
"eval_runtime": 4.2619,
|
115 |
+
"eval_samples_per_second": 118.962,
|
116 |
+
"eval_steps_per_second": 15.017,
|
117 |
+
"step": 300
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 6.42,
|
121 |
+
"learning_rate": 8.879245283018869e-06,
|
122 |
+
"loss": 0.0635,
|
123 |
+
"step": 350
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 6.42,
|
127 |
+
"eval_accuracy": 0.8303747534516766,
|
128 |
+
"eval_f1": 0.8376041385770543,
|
129 |
+
"eval_loss": 1.1337926387786865,
|
130 |
+
"eval_precision": 0.8504492855502807,
|
131 |
+
"eval_recall": 0.8303747534516766,
|
132 |
+
"eval_runtime": 4.0094,
|
133 |
+
"eval_samples_per_second": 126.454,
|
134 |
+
"eval_steps_per_second": 15.963,
|
135 |
+
"step": 350
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 7.34,
|
139 |
+
"learning_rate": 8.69433962264151e-06,
|
140 |
+
"loss": 0.0254,
|
141 |
+
"step": 400
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 7.34,
|
145 |
+
"eval_accuracy": 0.8382642998027613,
|
146 |
+
"eval_f1": 0.8408180526634443,
|
147 |
+
"eval_loss": 1.1419103145599365,
|
148 |
+
"eval_precision": 0.8458355761491414,
|
149 |
+
"eval_recall": 0.8382642998027613,
|
150 |
+
"eval_runtime": 3.6866,
|
151 |
+
"eval_samples_per_second": 137.524,
|
152 |
+
"eval_steps_per_second": 17.36,
|
153 |
+
"step": 400
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 8.26,
|
157 |
+
"learning_rate": 8.505660377358492e-06,
|
158 |
+
"loss": 0.0374,
|
159 |
+
"step": 450
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 8.26,
|
163 |
+
"eval_accuracy": 0.8284023668639053,
|
164 |
+
"eval_f1": 0.8320464737199128,
|
165 |
+
"eval_loss": 1.2373206615447998,
|
166 |
+
"eval_precision": 0.8369363588201497,
|
167 |
+
"eval_recall": 0.8284023668639053,
|
168 |
+
"eval_runtime": 4.0231,
|
169 |
+
"eval_samples_per_second": 126.021,
|
170 |
+
"eval_steps_per_second": 15.908,
|
171 |
+
"step": 450
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 9.17,
|
175 |
+
"learning_rate": 8.316981132075472e-06,
|
176 |
+
"loss": 0.013,
|
177 |
+
"step": 500
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 9.17,
|
181 |
+
"eval_accuracy": 0.834319526627219,
|
182 |
+
"eval_f1": 0.8376685641339108,
|
183 |
+
"eval_loss": 1.2268174886703491,
|
184 |
+
"eval_precision": 0.8421800999981714,
|
185 |
+
"eval_recall": 0.834319526627219,
|
186 |
+
"eval_runtime": 4.1413,
|
187 |
+
"eval_samples_per_second": 122.425,
|
188 |
+
"eval_steps_per_second": 15.454,
|
189 |
+
"step": 500
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 10.09,
|
193 |
+
"learning_rate": 8.128301886792453e-06,
|
194 |
+
"loss": 0.0213,
|
195 |
+
"step": 550
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 10.09,
|
199 |
+
"eval_accuracy": 0.834319526627219,
|
200 |
+
"eval_f1": 0.8396773850135992,
|
201 |
+
"eval_loss": 1.2791889905929565,
|
202 |
+
"eval_precision": 0.8499112935552067,
|
203 |
+
"eval_recall": 0.834319526627219,
|
204 |
+
"eval_runtime": 4.1859,
|
205 |
+
"eval_samples_per_second": 121.122,
|
206 |
+
"eval_steps_per_second": 15.29,
|
207 |
+
"step": 550
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 11.01,
|
211 |
+
"learning_rate": 7.939622641509435e-06,
|
212 |
+
"loss": 0.0003,
|
213 |
+
"step": 600
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 11.01,
|
217 |
+
"eval_accuracy": 0.8303747534516766,
|
218 |
+
"eval_f1": 0.8359161169722349,
|
219 |
+
"eval_loss": 1.3518141508102417,
|
220 |
+
"eval_precision": 0.8446374502780472,
|
221 |
+
"eval_recall": 0.8303747534516766,
|
222 |
+
"eval_runtime": 3.09,
|
223 |
+
"eval_samples_per_second": 164.08,
|
224 |
+
"eval_steps_per_second": 20.712,
|
225 |
+
"step": 600
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 11.93,
|
229 |
+
"learning_rate": 7.750943396226415e-06,
|
230 |
+
"loss": 0.0313,
|
231 |
+
"step": 650
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 11.93,
|
235 |
+
"eval_accuracy": 0.8382642998027613,
|
236 |
+
"eval_f1": 0.8405182086840655,
|
237 |
+
"eval_loss": 1.3090877532958984,
|
238 |
+
"eval_precision": 0.8442165138341221,
|
239 |
+
"eval_recall": 0.8382642998027613,
|
240 |
+
"eval_runtime": 4.7065,
|
241 |
+
"eval_samples_per_second": 107.722,
|
242 |
+
"eval_steps_per_second": 13.598,
|
243 |
+
"step": 650
|
244 |
+
}
|
245 |
+
],
|
246 |
+
"logging_steps": 50,
|
247 |
+
"max_steps": 2700,
|
248 |
+
"num_train_epochs": 50,
|
249 |
+
"save_steps": 50,
|
250 |
+
"total_flos": 2261979798655680.0,
|
251 |
+
"trial_name": null,
|
252 |
+
"trial_params": null
|
253 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f9b6cd664138888a23a2e9135f10b24952ff773a07bd8912b43b743ac47fb411
|
3 |
+
size 4155
|