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try-out-model-amc2
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5462
- F1: 0.8557
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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | F1 |
---|---|---|---|---|
2.8475 | 1.0 | 208 | 2.1236 | 0.4655 |
1.6756 | 2.0 | 416 | 1.2293 | 0.7030 |
0.9133 | 3.0 | 624 | 0.8073 | 0.8191 |
0.5178 | 4.0 | 832 | 0.6504 | 0.8341 |
0.2981 | 5.0 | 1040 | 0.5643 | 0.8597 |
0.1673 | 6.0 | 1248 | 0.5340 | 0.8670 |
0.0996 | 7.0 | 1456 | 0.5482 | 0.8574 |
0.0626 | 8.0 | 1664 | 0.5360 | 0.8587 |
0.0433 | 9.0 | 1872 | 0.5536 | 0.8518 |
0.036 | 10.0 | 2080 | 0.5462 | 0.8557 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2