luukschmitz commited on
Commit
c8a81cc
1 Parent(s): b7edba9

Upload folder using huggingface_hub

Browse files
README.md ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - autotrain
5
+ - text-classification
6
+ base_model: mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis
7
+ widget:
8
+ - text: "I love AutoTrain"
9
+ ---
10
+
11
+ # Model Trained Using AutoTrain
12
+
13
+ - Problem type: Text Classification
14
+
15
+ ## Validation Metrics
16
+ loss: 0.9263564944267273
17
+
18
+ f1_macro: 0.6193851541399454
19
+
20
+ f1_micro: 0.700836820083682
21
+
22
+ f1_weighted: 0.6928921325883705
23
+
24
+ precision_macro: 0.6728486680867634
25
+
26
+ precision_micro: 0.700836820083682
27
+
28
+ precision_weighted: 0.7079874543114232
29
+
30
+ recall_macro: 0.6147070748686357
31
+
32
+ recall_micro: 0.700836820083682
33
+
34
+ recall_weighted: 0.700836820083682
35
+
36
+ accuracy: 0.700836820083682
checkpoint-204/config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis",
3
+ "_num_labels": 4,
4
+ "architectures": [
5
+ "RobertaForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "bos_token_id": 0,
9
+ "classifier_dropout": null,
10
+ "eos_token_id": 2,
11
+ "gradient_checkpointing": false,
12
+ "hidden_act": "gelu",
13
+ "hidden_dropout_prob": 0.1,
14
+ "hidden_size": 768,
15
+ "id2label": {
16
+ "0": "0",
17
+ "1": "1",
18
+ "2": "2",
19
+ "3": "3"
20
+ },
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 3072,
23
+ "label2id": {
24
+ "0": 0,
25
+ "1": 1,
26
+ "2": 2,
27
+ "3": 3
28
+ },
29
+ "layer_norm_eps": 1e-05,
30
+ "max_position_embeddings": 514,
31
+ "model_type": "roberta",
32
+ "num_attention_heads": 12,
33
+ "num_hidden_layers": 6,
34
+ "pad_token_id": 1,
35
+ "position_embedding_type": "absolute",
36
+ "problem_type": "single_label_classification",
37
+ "torch_dtype": "float32",
38
+ "transformers_version": "4.42.2",
39
+ "type_vocab_size": 1,
40
+ "use_cache": true,
41
+ "vocab_size": 50265
42
+ }
checkpoint-204/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f85feff09068599bc4cd8390b12c71d99e89f439bfb666841473a9a7f23bd61e
3
+ size 328498432
checkpoint-204/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c4b9532c7820e91a16d50c8d0a332d2cde3e79c3242a10a6e16fd54261349ad6
3
+ size 657059898
checkpoint-204/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a5442cb8d0ad1183849111de42c7f47db1523c5952eb2750b2bdfba8393ca43
3
+ size 14244
checkpoint-204/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:30df69ee004ba9369d6e17f16a306eceb28690811f9374db82690dccb12d89e1
3
+ size 1064
checkpoint-204/trainer_state.json ADDED
@@ -0,0 +1,810 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.9263564944267273,
3
+ "best_model_checkpoint": "Geofin5/checkpoint-204",
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 204,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.029411764705882353,
13
+ "grad_norm": 7.102517604827881,
14
+ "learning_rate": 1.2195121951219514e-06,
15
+ "loss": 1.3725,
16
+ "step": 2
17
+ },
18
+ {
19
+ "epoch": 0.058823529411764705,
20
+ "grad_norm": 5.622996807098389,
21
+ "learning_rate": 2.4390243902439027e-06,
22
+ "loss": 1.3922,
23
+ "step": 4
24
+ },
25
+ {
26
+ "epoch": 0.08823529411764706,
27
+ "grad_norm": 7.666197299957275,
28
+ "learning_rate": 3.6585365853658537e-06,
29
+ "loss": 1.3371,
30
+ "step": 6
31
+ },
32
+ {
33
+ "epoch": 0.11764705882352941,
34
+ "grad_norm": 5.953295707702637,
35
+ "learning_rate": 4.8780487804878055e-06,
36
+ "loss": 1.322,
37
+ "step": 8
38
+ },
39
+ {
40
+ "epoch": 0.14705882352941177,
41
+ "grad_norm": 4.027065277099609,
42
+ "learning_rate": 6.0975609756097564e-06,
43
+ "loss": 1.2841,
44
+ "step": 10
45
+ },
46
+ {
47
+ "epoch": 0.17647058823529413,
48
+ "grad_norm": 6.355094909667969,
49
+ "learning_rate": 7.317073170731707e-06,
50
+ "loss": 1.2458,
51
+ "step": 12
52
+ },
53
+ {
54
+ "epoch": 0.20588235294117646,
55
+ "grad_norm": 4.935754776000977,
56
+ "learning_rate": 8.53658536585366e-06,
57
+ "loss": 1.2534,
58
+ "step": 14
59
+ },
60
+ {
61
+ "epoch": 0.23529411764705882,
62
+ "grad_norm": 3.921065330505371,
63
+ "learning_rate": 9.756097560975611e-06,
64
+ "loss": 1.2224,
65
+ "step": 16
66
+ },
67
+ {
68
+ "epoch": 0.2647058823529412,
69
+ "grad_norm": 4.3277482986450195,
70
+ "learning_rate": 1.0975609756097562e-05,
71
+ "loss": 1.125,
72
+ "step": 18
73
+ },
74
+ {
75
+ "epoch": 0.29411764705882354,
76
+ "grad_norm": 4.808041572570801,
77
+ "learning_rate": 1.2195121951219513e-05,
78
+ "loss": 1.0728,
79
+ "step": 20
80
+ },
81
+ {
82
+ "epoch": 0.3235294117647059,
83
+ "grad_norm": 2.6956660747528076,
84
+ "learning_rate": 1.3414634146341466e-05,
85
+ "loss": 1.2269,
86
+ "step": 22
87
+ },
88
+ {
89
+ "epoch": 0.35294117647058826,
90
+ "grad_norm": 2.8759944438934326,
91
+ "learning_rate": 1.4634146341463415e-05,
92
+ "loss": 1.094,
93
+ "step": 24
94
+ },
95
+ {
96
+ "epoch": 0.38235294117647056,
97
+ "grad_norm": 5.900161266326904,
98
+ "learning_rate": 1.5853658536585366e-05,
99
+ "loss": 1.1418,
100
+ "step": 26
101
+ },
102
+ {
103
+ "epoch": 0.4117647058823529,
104
+ "grad_norm": 8.949163436889648,
105
+ "learning_rate": 1.707317073170732e-05,
106
+ "loss": 1.1931,
107
+ "step": 28
108
+ },
109
+ {
110
+ "epoch": 0.4411764705882353,
111
+ "grad_norm": 4.940980911254883,
112
+ "learning_rate": 1.8292682926829268e-05,
113
+ "loss": 1.0575,
114
+ "step": 30
115
+ },
116
+ {
117
+ "epoch": 0.47058823529411764,
118
+ "grad_norm": 4.716662406921387,
119
+ "learning_rate": 1.9512195121951222e-05,
120
+ "loss": 1.0049,
121
+ "step": 32
122
+ },
123
+ {
124
+ "epoch": 0.5,
125
+ "grad_norm": 9.422857284545898,
126
+ "learning_rate": 2.073170731707317e-05,
127
+ "loss": 1.1533,
128
+ "step": 34
129
+ },
130
+ {
131
+ "epoch": 0.5294117647058824,
132
+ "grad_norm": 7.63829231262207,
133
+ "learning_rate": 2.1951219512195124e-05,
134
+ "loss": 1.1386,
135
+ "step": 36
136
+ },
137
+ {
138
+ "epoch": 0.5588235294117647,
139
+ "grad_norm": 4.745357036590576,
140
+ "learning_rate": 2.3170731707317075e-05,
141
+ "loss": 0.9919,
142
+ "step": 38
143
+ },
144
+ {
145
+ "epoch": 0.5882352941176471,
146
+ "grad_norm": 4.796962261199951,
147
+ "learning_rate": 2.4390243902439026e-05,
148
+ "loss": 0.9971,
149
+ "step": 40
150
+ },
151
+ {
152
+ "epoch": 0.6176470588235294,
153
+ "grad_norm": 4.623069763183594,
154
+ "learning_rate": 2.5609756097560977e-05,
155
+ "loss": 1.016,
156
+ "step": 42
157
+ },
158
+ {
159
+ "epoch": 0.6470588235294118,
160
+ "grad_norm": 7.526188373565674,
161
+ "learning_rate": 2.682926829268293e-05,
162
+ "loss": 1.1257,
163
+ "step": 44
164
+ },
165
+ {
166
+ "epoch": 0.6764705882352942,
167
+ "grad_norm": 6.750401973724365,
168
+ "learning_rate": 2.8048780487804882e-05,
169
+ "loss": 1.0988,
170
+ "step": 46
171
+ },
172
+ {
173
+ "epoch": 0.7058823529411765,
174
+ "grad_norm": 5.956785678863525,
175
+ "learning_rate": 2.926829268292683e-05,
176
+ "loss": 1.0436,
177
+ "step": 48
178
+ },
179
+ {
180
+ "epoch": 0.7352941176470589,
181
+ "grad_norm": 6.079898834228516,
182
+ "learning_rate": 3.048780487804878e-05,
183
+ "loss": 1.0277,
184
+ "step": 50
185
+ },
186
+ {
187
+ "epoch": 0.7647058823529411,
188
+ "grad_norm": 4.464956760406494,
189
+ "learning_rate": 3.170731707317073e-05,
190
+ "loss": 0.8688,
191
+ "step": 52
192
+ },
193
+ {
194
+ "epoch": 0.7941176470588235,
195
+ "grad_norm": 6.561495304107666,
196
+ "learning_rate": 3.292682926829269e-05,
197
+ "loss": 0.8962,
198
+ "step": 54
199
+ },
200
+ {
201
+ "epoch": 0.8235294117647058,
202
+ "grad_norm": 6.373690128326416,
203
+ "learning_rate": 3.353658536585366e-05,
204
+ "loss": 1.0343,
205
+ "step": 56
206
+ },
207
+ {
208
+ "epoch": 0.8529411764705882,
209
+ "grad_norm": 8.000486373901367,
210
+ "learning_rate": 3.475609756097561e-05,
211
+ "loss": 1.0543,
212
+ "step": 58
213
+ },
214
+ {
215
+ "epoch": 0.8823529411764706,
216
+ "grad_norm": 5.830896854400635,
217
+ "learning_rate": 3.597560975609756e-05,
218
+ "loss": 1.0761,
219
+ "step": 60
220
+ },
221
+ {
222
+ "epoch": 0.9117647058823529,
223
+ "grad_norm": 10.151026725769043,
224
+ "learning_rate": 3.7195121951219514e-05,
225
+ "loss": 1.0737,
226
+ "step": 62
227
+ },
228
+ {
229
+ "epoch": 0.9411764705882353,
230
+ "grad_norm": 9.73624038696289,
231
+ "learning_rate": 3.8414634146341465e-05,
232
+ "loss": 0.9112,
233
+ "step": 64
234
+ },
235
+ {
236
+ "epoch": 0.9705882352941176,
237
+ "grad_norm": 9.713314056396484,
238
+ "learning_rate": 3.9634146341463416e-05,
239
+ "loss": 0.8498,
240
+ "step": 66
241
+ },
242
+ {
243
+ "epoch": 1.0,
244
+ "grad_norm": 10.631162643432617,
245
+ "learning_rate": 4.085365853658537e-05,
246
+ "loss": 0.9937,
247
+ "step": 68
248
+ },
249
+ {
250
+ "epoch": 1.0,
251
+ "eval_accuracy": 0.5564853556485355,
252
+ "eval_f1_macro": 0.39598376878805575,
253
+ "eval_f1_micro": 0.5564853556485355,
254
+ "eval_f1_weighted": 0.4741897095372058,
255
+ "eval_loss": 1.0355333089828491,
256
+ "eval_precision_macro": 0.5140887485587238,
257
+ "eval_precision_micro": 0.5564853556485355,
258
+ "eval_precision_weighted": 0.5576172702264479,
259
+ "eval_recall_macro": 0.4827948905153814,
260
+ "eval_recall_micro": 0.5564853556485355,
261
+ "eval_recall_weighted": 0.5564853556485355,
262
+ "eval_runtime": 0.6549,
263
+ "eval_samples_per_second": 729.907,
264
+ "eval_steps_per_second": 12.216,
265
+ "step": 68
266
+ },
267
+ {
268
+ "epoch": 1.0294117647058822,
269
+ "grad_norm": 7.002508163452148,
270
+ "learning_rate": 4.207317073170732e-05,
271
+ "loss": 0.9379,
272
+ "step": 70
273
+ },
274
+ {
275
+ "epoch": 1.0588235294117647,
276
+ "grad_norm": 9.145544052124023,
277
+ "learning_rate": 4.329268292682927e-05,
278
+ "loss": 0.8374,
279
+ "step": 72
280
+ },
281
+ {
282
+ "epoch": 1.088235294117647,
283
+ "grad_norm": 10.859468460083008,
284
+ "learning_rate": 4.451219512195122e-05,
285
+ "loss": 1.0609,
286
+ "step": 74
287
+ },
288
+ {
289
+ "epoch": 1.1176470588235294,
290
+ "grad_norm": 5.649864196777344,
291
+ "learning_rate": 4.573170731707318e-05,
292
+ "loss": 0.8415,
293
+ "step": 76
294
+ },
295
+ {
296
+ "epoch": 1.1470588235294117,
297
+ "grad_norm": 7.1180877685546875,
298
+ "learning_rate": 4.695121951219512e-05,
299
+ "loss": 0.9504,
300
+ "step": 78
301
+ },
302
+ {
303
+ "epoch": 1.1764705882352942,
304
+ "grad_norm": 11.018819808959961,
305
+ "learning_rate": 4.817073170731707e-05,
306
+ "loss": 0.9917,
307
+ "step": 80
308
+ },
309
+ {
310
+ "epoch": 1.2058823529411764,
311
+ "grad_norm": 9.096946716308594,
312
+ "learning_rate": 4.9390243902439024e-05,
313
+ "loss": 0.7748,
314
+ "step": 82
315
+ },
316
+ {
317
+ "epoch": 1.2352941176470589,
318
+ "grad_norm": 14.755735397338867,
319
+ "learning_rate": 4.993188010899183e-05,
320
+ "loss": 0.8427,
321
+ "step": 84
322
+ },
323
+ {
324
+ "epoch": 1.2647058823529411,
325
+ "grad_norm": 9.15238094329834,
326
+ "learning_rate": 4.979564032697548e-05,
327
+ "loss": 0.8695,
328
+ "step": 86
329
+ },
330
+ {
331
+ "epoch": 1.2941176470588236,
332
+ "grad_norm": 10.265277862548828,
333
+ "learning_rate": 4.9659400544959125e-05,
334
+ "loss": 0.6385,
335
+ "step": 88
336
+ },
337
+ {
338
+ "epoch": 1.3235294117647058,
339
+ "grad_norm": 9.704151153564453,
340
+ "learning_rate": 4.952316076294278e-05,
341
+ "loss": 0.756,
342
+ "step": 90
343
+ },
344
+ {
345
+ "epoch": 1.3529411764705883,
346
+ "grad_norm": 9.141586303710938,
347
+ "learning_rate": 4.9386920980926435e-05,
348
+ "loss": 0.7567,
349
+ "step": 92
350
+ },
351
+ {
352
+ "epoch": 1.3823529411764706,
353
+ "grad_norm": 9.520133018493652,
354
+ "learning_rate": 4.925068119891008e-05,
355
+ "loss": 0.9081,
356
+ "step": 94
357
+ },
358
+ {
359
+ "epoch": 1.4117647058823528,
360
+ "grad_norm": 17.20820426940918,
361
+ "learning_rate": 4.911444141689374e-05,
362
+ "loss": 0.9661,
363
+ "step": 96
364
+ },
365
+ {
366
+ "epoch": 1.4411764705882353,
367
+ "grad_norm": 9.26347827911377,
368
+ "learning_rate": 4.8978201634877385e-05,
369
+ "loss": 0.8661,
370
+ "step": 98
371
+ },
372
+ {
373
+ "epoch": 1.4705882352941178,
374
+ "grad_norm": 12.740453720092773,
375
+ "learning_rate": 4.884196185286104e-05,
376
+ "loss": 0.8978,
377
+ "step": 100
378
+ },
379
+ {
380
+ "epoch": 1.5,
381
+ "grad_norm": 8.899398803710938,
382
+ "learning_rate": 4.870572207084469e-05,
383
+ "loss": 0.6809,
384
+ "step": 102
385
+ },
386
+ {
387
+ "epoch": 1.5294117647058822,
388
+ "grad_norm": 13.515447616577148,
389
+ "learning_rate": 4.8569482288828335e-05,
390
+ "loss": 0.7378,
391
+ "step": 104
392
+ },
393
+ {
394
+ "epoch": 1.5588235294117647,
395
+ "grad_norm": 6.7167439460754395,
396
+ "learning_rate": 4.843324250681199e-05,
397
+ "loss": 0.7376,
398
+ "step": 106
399
+ },
400
+ {
401
+ "epoch": 1.5882352941176472,
402
+ "grad_norm": 19.798791885375977,
403
+ "learning_rate": 4.8297002724795645e-05,
404
+ "loss": 0.7125,
405
+ "step": 108
406
+ },
407
+ {
408
+ "epoch": 1.6176470588235294,
409
+ "grad_norm": Infinity,
410
+ "learning_rate": 4.822888283378747e-05,
411
+ "loss": 0.7425,
412
+ "step": 110
413
+ },
414
+ {
415
+ "epoch": 1.6470588235294117,
416
+ "grad_norm": 8.12073040008545,
417
+ "learning_rate": 4.809264305177112e-05,
418
+ "loss": 0.672,
419
+ "step": 112
420
+ },
421
+ {
422
+ "epoch": 1.6764705882352942,
423
+ "grad_norm": 7.961780071258545,
424
+ "learning_rate": 4.795640326975477e-05,
425
+ "loss": 0.7023,
426
+ "step": 114
427
+ },
428
+ {
429
+ "epoch": 1.7058823529411766,
430
+ "grad_norm": 15.105574607849121,
431
+ "learning_rate": 4.782016348773842e-05,
432
+ "loss": 0.6107,
433
+ "step": 116
434
+ },
435
+ {
436
+ "epoch": 1.7352941176470589,
437
+ "grad_norm": 15.375845909118652,
438
+ "learning_rate": 4.768392370572207e-05,
439
+ "loss": 0.648,
440
+ "step": 118
441
+ },
442
+ {
443
+ "epoch": 1.7647058823529411,
444
+ "grad_norm": 11.371450424194336,
445
+ "learning_rate": 4.7547683923705725e-05,
446
+ "loss": 0.7948,
447
+ "step": 120
448
+ },
449
+ {
450
+ "epoch": 1.7941176470588234,
451
+ "grad_norm": 13.418404579162598,
452
+ "learning_rate": 4.741144414168938e-05,
453
+ "loss": 0.5621,
454
+ "step": 122
455
+ },
456
+ {
457
+ "epoch": 1.8235294117647058,
458
+ "grad_norm": 14.923059463500977,
459
+ "learning_rate": 4.727520435967303e-05,
460
+ "loss": 0.7301,
461
+ "step": 124
462
+ },
463
+ {
464
+ "epoch": 1.8529411764705883,
465
+ "grad_norm": 9.319025993347168,
466
+ "learning_rate": 4.713896457765668e-05,
467
+ "loss": 0.8735,
468
+ "step": 126
469
+ },
470
+ {
471
+ "epoch": 1.8823529411764706,
472
+ "grad_norm": 7.903226375579834,
473
+ "learning_rate": 4.700272479564033e-05,
474
+ "loss": 0.7913,
475
+ "step": 128
476
+ },
477
+ {
478
+ "epoch": 1.9117647058823528,
479
+ "grad_norm": 13.043506622314453,
480
+ "learning_rate": 4.686648501362398e-05,
481
+ "loss": 0.8099,
482
+ "step": 130
483
+ },
484
+ {
485
+ "epoch": 1.9411764705882353,
486
+ "grad_norm": 12.253973007202148,
487
+ "learning_rate": 4.673024523160763e-05,
488
+ "loss": 0.7651,
489
+ "step": 132
490
+ },
491
+ {
492
+ "epoch": 1.9705882352941178,
493
+ "grad_norm": 9.918290138244629,
494
+ "learning_rate": 4.659400544959128e-05,
495
+ "loss": 0.7537,
496
+ "step": 134
497
+ },
498
+ {
499
+ "epoch": 2.0,
500
+ "grad_norm": 17.887121200561523,
501
+ "learning_rate": 4.6457765667574935e-05,
502
+ "loss": 0.8837,
503
+ "step": 136
504
+ },
505
+ {
506
+ "epoch": 2.0,
507
+ "eval_accuracy": 0.6401673640167364,
508
+ "eval_f1_macro": 0.5112056699141869,
509
+ "eval_f1_micro": 0.6401673640167364,
510
+ "eval_f1_weighted": 0.623119203970463,
511
+ "eval_loss": 0.9266994595527649,
512
+ "eval_precision_macro": 0.6451808449222778,
513
+ "eval_precision_micro": 0.6401673640167364,
514
+ "eval_precision_weighted": 0.6880713224888448,
515
+ "eval_recall_macro": 0.5646276187019543,
516
+ "eval_recall_micro": 0.6401673640167364,
517
+ "eval_recall_weighted": 0.6401673640167364,
518
+ "eval_runtime": 0.6577,
519
+ "eval_samples_per_second": 726.807,
520
+ "eval_steps_per_second": 12.164,
521
+ "step": 136
522
+ },
523
+ {
524
+ "epoch": 2.0294117647058822,
525
+ "grad_norm": 12.88015365600586,
526
+ "learning_rate": 4.632152588555859e-05,
527
+ "loss": 0.6675,
528
+ "step": 138
529
+ },
530
+ {
531
+ "epoch": 2.0588235294117645,
532
+ "grad_norm": 7.740164756774902,
533
+ "learning_rate": 4.618528610354224e-05,
534
+ "loss": 0.726,
535
+ "step": 140
536
+ },
537
+ {
538
+ "epoch": 2.088235294117647,
539
+ "grad_norm": 6.169182777404785,
540
+ "learning_rate": 4.604904632152589e-05,
541
+ "loss": 0.5834,
542
+ "step": 142
543
+ },
544
+ {
545
+ "epoch": 2.1176470588235294,
546
+ "grad_norm": 5.821132659912109,
547
+ "learning_rate": 4.591280653950954e-05,
548
+ "loss": 0.5636,
549
+ "step": 144
550
+ },
551
+ {
552
+ "epoch": 2.1470588235294117,
553
+ "grad_norm": 7.872137069702148,
554
+ "learning_rate": 4.577656675749319e-05,
555
+ "loss": 0.566,
556
+ "step": 146
557
+ },
558
+ {
559
+ "epoch": 2.176470588235294,
560
+ "grad_norm": 7.407035827636719,
561
+ "learning_rate": 4.564032697547684e-05,
562
+ "loss": 0.5023,
563
+ "step": 148
564
+ },
565
+ {
566
+ "epoch": 2.2058823529411766,
567
+ "grad_norm": 8.054471015930176,
568
+ "learning_rate": 4.550408719346049e-05,
569
+ "loss": 0.4304,
570
+ "step": 150
571
+ },
572
+ {
573
+ "epoch": 2.235294117647059,
574
+ "grad_norm": 20.935813903808594,
575
+ "learning_rate": 4.5367847411444145e-05,
576
+ "loss": 0.5301,
577
+ "step": 152
578
+ },
579
+ {
580
+ "epoch": 2.264705882352941,
581
+ "grad_norm": 15.824753761291504,
582
+ "learning_rate": 4.52316076294278e-05,
583
+ "loss": 0.5815,
584
+ "step": 154
585
+ },
586
+ {
587
+ "epoch": 2.2941176470588234,
588
+ "grad_norm": 11.326836585998535,
589
+ "learning_rate": 4.509536784741145e-05,
590
+ "loss": 0.7101,
591
+ "step": 156
592
+ },
593
+ {
594
+ "epoch": 2.323529411764706,
595
+ "grad_norm": 27.99034309387207,
596
+ "learning_rate": 4.4959128065395095e-05,
597
+ "loss": 0.6138,
598
+ "step": 158
599
+ },
600
+ {
601
+ "epoch": 2.3529411764705883,
602
+ "grad_norm": 7.2306623458862305,
603
+ "learning_rate": 4.482288828337875e-05,
604
+ "loss": 0.5515,
605
+ "step": 160
606
+ },
607
+ {
608
+ "epoch": 2.3823529411764706,
609
+ "grad_norm": 15.374252319335938,
610
+ "learning_rate": 4.46866485013624e-05,
611
+ "loss": 0.7274,
612
+ "step": 162
613
+ },
614
+ {
615
+ "epoch": 2.411764705882353,
616
+ "grad_norm": 11.15127182006836,
617
+ "learning_rate": 4.4550408719346046e-05,
618
+ "loss": 0.685,
619
+ "step": 164
620
+ },
621
+ {
622
+ "epoch": 2.4411764705882355,
623
+ "grad_norm": 18.0255069732666,
624
+ "learning_rate": 4.44141689373297e-05,
625
+ "loss": 0.6403,
626
+ "step": 166
627
+ },
628
+ {
629
+ "epoch": 2.4705882352941178,
630
+ "grad_norm": 15.681634902954102,
631
+ "learning_rate": 4.4277929155313355e-05,
632
+ "loss": 0.5377,
633
+ "step": 168
634
+ },
635
+ {
636
+ "epoch": 2.5,
637
+ "grad_norm": 13.26118278503418,
638
+ "learning_rate": 4.414168937329701e-05,
639
+ "loss": 0.6531,
640
+ "step": 170
641
+ },
642
+ {
643
+ "epoch": 2.5294117647058822,
644
+ "grad_norm": 5.877330780029297,
645
+ "learning_rate": 4.400544959128066e-05,
646
+ "loss": 0.4888,
647
+ "step": 172
648
+ },
649
+ {
650
+ "epoch": 2.5588235294117645,
651
+ "grad_norm": 17.445058822631836,
652
+ "learning_rate": 4.3869209809264305e-05,
653
+ "loss": 0.5194,
654
+ "step": 174
655
+ },
656
+ {
657
+ "epoch": 2.588235294117647,
658
+ "grad_norm": 11.56258487701416,
659
+ "learning_rate": 4.373297002724796e-05,
660
+ "loss": 0.3939,
661
+ "step": 176
662
+ },
663
+ {
664
+ "epoch": 2.6176470588235294,
665
+ "grad_norm": 14.838981628417969,
666
+ "learning_rate": 4.359673024523161e-05,
667
+ "loss": 0.4646,
668
+ "step": 178
669
+ },
670
+ {
671
+ "epoch": 2.6470588235294117,
672
+ "grad_norm": 16.686960220336914,
673
+ "learning_rate": 4.3460490463215255e-05,
674
+ "loss": 0.4943,
675
+ "step": 180
676
+ },
677
+ {
678
+ "epoch": 2.6764705882352944,
679
+ "grad_norm": 13.008139610290527,
680
+ "learning_rate": 4.332425068119891e-05,
681
+ "loss": 0.6352,
682
+ "step": 182
683
+ },
684
+ {
685
+ "epoch": 2.7058823529411766,
686
+ "grad_norm": 18.054786682128906,
687
+ "learning_rate": 4.3188010899182565e-05,
688
+ "loss": 0.4034,
689
+ "step": 184
690
+ },
691
+ {
692
+ "epoch": 2.735294117647059,
693
+ "grad_norm": 9.771907806396484,
694
+ "learning_rate": 4.305177111716621e-05,
695
+ "loss": 0.3427,
696
+ "step": 186
697
+ },
698
+ {
699
+ "epoch": 2.764705882352941,
700
+ "grad_norm": 8.055870056152344,
701
+ "learning_rate": 4.291553133514987e-05,
702
+ "loss": 0.3218,
703
+ "step": 188
704
+ },
705
+ {
706
+ "epoch": 2.7941176470588234,
707
+ "grad_norm": 14.025898933410645,
708
+ "learning_rate": 4.2779291553133515e-05,
709
+ "loss": 0.5226,
710
+ "step": 190
711
+ },
712
+ {
713
+ "epoch": 2.8235294117647056,
714
+ "grad_norm": 7.227923393249512,
715
+ "learning_rate": 4.264305177111717e-05,
716
+ "loss": 0.3266,
717
+ "step": 192
718
+ },
719
+ {
720
+ "epoch": 2.8529411764705883,
721
+ "grad_norm": 15.04366397857666,
722
+ "learning_rate": 4.250681198910082e-05,
723
+ "loss": 0.6136,
724
+ "step": 194
725
+ },
726
+ {
727
+ "epoch": 2.8823529411764706,
728
+ "grad_norm": 15.145903587341309,
729
+ "learning_rate": 4.237057220708447e-05,
730
+ "loss": 0.4222,
731
+ "step": 196
732
+ },
733
+ {
734
+ "epoch": 2.911764705882353,
735
+ "grad_norm": 14.604679107666016,
736
+ "learning_rate": 4.223433242506813e-05,
737
+ "loss": 0.6989,
738
+ "step": 198
739
+ },
740
+ {
741
+ "epoch": 2.9411764705882355,
742
+ "grad_norm": 10.518308639526367,
743
+ "learning_rate": 4.2098092643051775e-05,
744
+ "loss": 0.4435,
745
+ "step": 200
746
+ },
747
+ {
748
+ "epoch": 2.9705882352941178,
749
+ "grad_norm": 16.961441040039062,
750
+ "learning_rate": 4.196185286103542e-05,
751
+ "loss": 0.6116,
752
+ "step": 202
753
+ },
754
+ {
755
+ "epoch": 3.0,
756
+ "grad_norm": 14.586898803710938,
757
+ "learning_rate": 4.182561307901908e-05,
758
+ "loss": 0.4291,
759
+ "step": 204
760
+ },
761
+ {
762
+ "epoch": 3.0,
763
+ "eval_accuracy": 0.700836820083682,
764
+ "eval_f1_macro": 0.6193851541399454,
765
+ "eval_f1_micro": 0.700836820083682,
766
+ "eval_f1_weighted": 0.6928921325883705,
767
+ "eval_loss": 0.9263564944267273,
768
+ "eval_precision_macro": 0.6728486680867634,
769
+ "eval_precision_micro": 0.700836820083682,
770
+ "eval_precision_weighted": 0.7079874543114232,
771
+ "eval_recall_macro": 0.6147070748686357,
772
+ "eval_recall_micro": 0.700836820083682,
773
+ "eval_recall_weighted": 0.700836820083682,
774
+ "eval_runtime": 0.6574,
775
+ "eval_samples_per_second": 727.055,
776
+ "eval_steps_per_second": 12.168,
777
+ "step": 204
778
+ }
779
+ ],
780
+ "logging_steps": 2,
781
+ "max_steps": 816,
782
+ "num_input_tokens_seen": 0,
783
+ "num_train_epochs": 12,
784
+ "save_steps": 500,
785
+ "stateful_callbacks": {
786
+ "EarlyStoppingCallback": {
787
+ "args": {
788
+ "early_stopping_patience": 5,
789
+ "early_stopping_threshold": 0.01
790
+ },
791
+ "attributes": {
792
+ "early_stopping_patience_counter": 0
793
+ }
794
+ },
795
+ "TrainerControl": {
796
+ "args": {
797
+ "should_epoch_stop": false,
798
+ "should_evaluate": false,
799
+ "should_log": false,
800
+ "should_save": true,
801
+ "should_training_stop": false
802
+ },
803
+ "attributes": {}
804
+ }
805
+ },
806
+ "total_flos": 428613555234816.0,
807
+ "train_batch_size": 32,
808
+ "trial_name": null,
809
+ "trial_params": null
810
+ }
checkpoint-204/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a6125a2ed5251eb518ed4ad20f0b6350c86a01be35fa42f5d100c0eae9d4fc5
3
+ size 5112
config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis",
3
+ "_num_labels": 4,
4
+ "architectures": [
5
+ "RobertaForSequenceClassification"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "bos_token_id": 0,
9
+ "classifier_dropout": null,
10
+ "eos_token_id": 2,
11
+ "gradient_checkpointing": false,
12
+ "hidden_act": "gelu",
13
+ "hidden_dropout_prob": 0.1,
14
+ "hidden_size": 768,
15
+ "id2label": {
16
+ "0": "0",
17
+ "1": "1",
18
+ "2": "2",
19
+ "3": "3"
20
+ },
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 3072,
23
+ "label2id": {
24
+ "0": 0,
25
+ "1": 1,
26
+ "2": 2,
27
+ "3": 3
28
+ },
29
+ "layer_norm_eps": 1e-05,
30
+ "max_position_embeddings": 514,
31
+ "model_type": "roberta",
32
+ "num_attention_heads": 12,
33
+ "num_hidden_layers": 6,
34
+ "pad_token_id": 1,
35
+ "position_embedding_type": "absolute",
36
+ "problem_type": "single_label_classification",
37
+ "torch_dtype": "float32",
38
+ "transformers_version": "4.42.2",
39
+ "type_vocab_size": 1,
40
+ "use_cache": true,
41
+ "vocab_size": 50265
42
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f85feff09068599bc4cd8390b12c71d99e89f439bfb666841473a9a7f23bd61e
3
+ size 328498432
runs/Jul13_18-20-58_r-luukschmitz-geogeogeo-8ylkil48-d8ae1-suegh/events.out.tfevents.1720894859.r-luukschmitz-geogeogeo-8ylkil48-d8ae1-suegh.164.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c70ad77bd37926a2ce64e61ba4772e5404805906778de0ad9c340c2afb0f134b
3
- size 5177
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9f2c6f651fd5dbe4d2e70ccc46841634a602877967c751c441e8dc639b900c4d
3
+ size 61313
runs/Jul13_18-20-58_r-luukschmitz-geogeogeo-8ylkil48-d8ae1-suegh/events.out.tfevents.1720894933.r-luukschmitz-geogeogeo-8ylkil48-d8ae1-suegh.164.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:419a03f45b23032b51bda9253880f5071da561cd41ef97e3f0abe82635d11890
3
+ size 921
special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "<s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
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": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "</s>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "<unk>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<s>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<pad>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "</s>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": false,
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": true,
47
+ "cls_token": "<s>",
48
+ "eos_token": "</s>",
49
+ "errors": "replace",
50
+ "mask_token": "<mask>",
51
+ "max_length": 512,
52
+ "model_max_length": 512,
53
+ "pad_token": "<pad>",
54
+ "sep_token": "</s>",
55
+ "stride": 0,
56
+ "tokenizer_class": "RobertaTokenizer",
57
+ "trim_offsets": true,
58
+ "truncation_side": "right",
59
+ "truncation_strategy": "longest_first",
60
+ "unk_token": "<unk>"
61
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a6125a2ed5251eb518ed4ad20f0b6350c86a01be35fa42f5d100c0eae9d4fc5
3
+ size 5112
training_params.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "data_path": "Geofin5/autotrain-data",
3
+ "model": "mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis",
4
+ "lr": 5e-05,
5
+ "epochs": 12,
6
+ "max_seq_length": 256,
7
+ "batch_size": 32,
8
+ "warmup_ratio": 0.1,
9
+ "gradient_accumulation": 1,
10
+ "optimizer": "adamw_torch",
11
+ "scheduler": "linear",
12
+ "weight_decay": 0.0,
13
+ "max_grad_norm": 1.0,
14
+ "seed": 42,
15
+ "train_split": "train",
16
+ "valid_split": "validation",
17
+ "text_column": "autotrain_text",
18
+ "target_column": "autotrain_label",
19
+ "logging_steps": -1,
20
+ "project_name": "Geofin5",
21
+ "auto_find_batch_size": false,
22
+ "mixed_precision": "fp16",
23
+ "save_total_limit": 1,
24
+ "push_to_hub": true,
25
+ "eval_strategy": "epoch",
26
+ "username": "luukschmitz",
27
+ "log": "tensorboard",
28
+ "early_stopping_patience": 5,
29
+ "early_stopping_threshold": 0.01
30
+ }
vocab.json ADDED
The diff for this file is too large to render. See raw diff