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distilroberta-base-finetuned-marktextepoch_35
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0029
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:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 35
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.5158 | 1.0 | 1500 | 2.3385 |
2.4312 | 2.0 | 3000 | 2.2620 |
2.3563 | 3.0 | 4500 | 2.2279 |
2.3249 | 4.0 | 6000 | 2.2165 |
2.2515 | 5.0 | 7500 | 2.2246 |
2.2178 | 6.0 | 9000 | 2.1714 |
2.1822 | 7.0 | 10500 | 2.1461 |
2.1501 | 8.0 | 12000 | 2.1388 |
2.1342 | 9.0 | 13500 | 2.1085 |
2.1141 | 10.0 | 15000 | 2.1090 |
2.0833 | 11.0 | 16500 | 2.1130 |
2.0769 | 12.0 | 18000 | 2.0969 |
2.0474 | 13.0 | 19500 | 2.0823 |
2.0364 | 14.0 | 21000 | 2.0893 |
2.0269 | 15.0 | 22500 | 2.0501 |
1.9814 | 16.0 | 24000 | 2.0667 |
1.9716 | 17.0 | 25500 | 2.0570 |
1.9611 | 18.0 | 27000 | 2.0530 |
1.9557 | 19.0 | 28500 | 2.0590 |
1.9443 | 20.0 | 30000 | 2.0381 |
1.9229 | 21.0 | 31500 | 2.0433 |
1.9192 | 22.0 | 33000 | 2.0468 |
1.8865 | 23.0 | 34500 | 2.0361 |
1.914 | 24.0 | 36000 | 2.0412 |
1.867 | 25.0 | 37500 | 2.0165 |
1.8724 | 26.0 | 39000 | 2.0152 |
1.8644 | 27.0 | 40500 | 2.0129 |
1.8685 | 28.0 | 42000 | 2.0183 |
1.8458 | 29.0 | 43500 | 2.0082 |
1.8653 | 30.0 | 45000 | 1.9939 |
1.8584 | 31.0 | 46500 | 2.0015 |
1.8396 | 32.0 | 48000 | 1.9924 |
1.8399 | 33.0 | 49500 | 2.0102 |
1.8363 | 34.0 | 51000 | 1.9946 |
1.83 | 35.0 | 52500 | 1.9908 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1