generated_from_trainer

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finetuning-sentiment-model-base-zero-shot

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
No log 0.02 10 0.8518 0.6738 0.2684
No log 0.03 20 0.7875 0.6738 0.2684
No log 0.05 30 0.7443 0.6738 0.2684
No log 0.07 40 0.7358 0.6746 0.2706
No log 0.08 50 0.7233 0.6742 0.2695
No log 0.1 60 0.6832 0.7148 0.3657
No log 0.12 70 0.6272 0.7735 0.4807
No log 0.13 80 0.5994 0.7910 0.4960
No log 0.15 90 0.5908 0.7898 0.5113
No log 0.17 100 0.5985 0.7982 0.5031
No log 0.18 110 0.5920 0.7965 0.5006
No log 0.2 120 0.5661 0.8053 0.5186
No log 0.22 130 0.5900 0.8015 0.5092
No log 0.23 140 0.5671 0.8023 0.5189
No log 0.25 150 0.6000 0.8044 0.5114
No log 0.27 160 0.5931 0.7785 0.5122
No log 0.28 170 0.5477 0.8065 0.5220
No log 0.3 180 0.5573 0.8107 0.5206
No log 0.32 190 0.5586 0.7961 0.5206
No log 0.34 200 0.5498 0.8107 0.5247
No log 0.35 210 0.5829 0.8036 0.5082
No log 0.37 220 0.5731 0.7843 0.5124
No log 0.39 230 0.5704 0.7915 0.5179
No log 0.4 240 0.5409 0.8070 0.5217
No log 0.42 250 0.5486 0.8120 0.5237
No log 0.44 260 0.5640 0.8082 0.5179
No log 0.45 270 0.5525 0.8086 0.5182
No log 0.47 280 0.5426 0.8086 0.5260
No log 0.49 290 0.5599 0.8040 0.5090
No log 0.5 300 0.5504 0.8124 0.5244
No log 0.52 310 0.5561 0.8074 0.5149
No log 0.54 320 0.5511 0.8061 0.5198
No log 0.55 330 0.5574 0.8082 0.5194
No log 0.57 340 0.5468 0.8099 0.5228
No log 0.59 350 0.5518 0.7990 0.5262
No log 0.6 360 0.5482 0.8099 0.5301
No log 0.62 370 0.5409 0.8111 0.5364
No log 0.64 380 0.5495 0.8103 0.5378
No log 0.65 390 0.5508 0.8111 0.5362
No log 0.67 400 0.5618 0.8011 0.5275
No log 0.69 410 0.5490 0.8103 0.5306
No log 0.7 420 0.5476 0.8116 0.5238
No log 0.72 430 0.5414 0.8090 0.5306
No log 0.74 440 0.5293 0.8153 0.5293
No log 0.75 450 0.5595 0.8141 0.5339
No log 0.77 460 0.5298 0.8132 0.5384
No log 0.79 470 0.5309 0.8132 0.5359
No log 0.8 480 0.5329 0.8132 0.5238
No log 0.82 490 0.5305 0.8132 0.5314
0.5831 0.84 500 0.5560 0.8015 0.5511
0.5831 0.85 510 0.5207 0.8162 0.5393
0.5831 0.87 520 0.5607 0.8070 0.5481
0.5831 0.89 530 0.5321 0.8120 0.5317

Framework versions