sentiment_output
This model is a fine-tuned version of mhdfadhil/mlm_output on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3182
- Accuracy: 0.8625
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: 5e-05
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.6798 | 1.0 | 98 | 0.5304 | 0.8013 |
0.474 | 2.0 | 196 | 0.3774 | 0.8328 |
0.3806 | 3.0 | 294 | 0.3485 | 0.8456 |
0.3602 | 4.0 | 392 | 0.3465 | 0.8493 |
0.3606 | 5.0 | 490 | 0.3346 | 0.8522 |
0.3494 | 6.0 | 588 | 0.3317 | 0.8562 |
0.3509 | 7.0 | 686 | 0.3293 | 0.8572 |
0.3485 | 8.0 | 784 | 0.3298 | 0.8575 |
0.3486 | 9.0 | 882 | 0.3282 | 0.8583 |
0.3381 | 10.0 | 980 | 0.3240 | 0.8600 |
0.3351 | 11.0 | 1078 | 0.3263 | 0.8597 |
0.336 | 12.0 | 1176 | 0.3213 | 0.8615 |
0.335 | 13.0 | 1274 | 0.3220 | 0.8614 |
0.3423 | 14.0 | 1372 | 0.3197 | 0.8613 |
0.341 | 15.0 | 1470 | 0.3200 | 0.8626 |
0.3386 | 16.0 | 1568 | 0.3188 | 0.8622 |
0.3414 | 17.0 | 1666 | 0.3187 | 0.8613 |
0.3372 | 18.0 | 1764 | 0.3193 | 0.8628 |
0.3357 | 19.0 | 1862 | 0.3183 | 0.8628 |
0.3345 | 20.0 | 1960 | 0.3182 | 0.8625 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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