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topics-distilroberta-jose-alcocer
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6309
- Accuracy: 0.8259
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6317 | 0.29 | 500 | 0.5095 | 0.8177 |
| 0.5284 | 0.57 | 1000 | 0.5300 | 0.8046 |
| 0.531 | 0.86 | 1500 | 0.4807 | 0.8031 |
| 0.4702 | 1.14 | 2000 | 0.4730 | 0.8169 |
| 0.4279 | 1.43 | 2500 | 0.5149 | 0.8229 |
| 0.4031 | 1.71 | 3000 | 0.4899 | 0.8291 |
| 0.4031 | 2.0 | 3500 | 0.5470 | 0.8359 |
| 0.3532 | 2.28 | 4000 | 0.4856 | 0.8279 |
| 0.3245 | 2.57 | 4500 | 0.5259 | 0.8204 |
| 0.3499 | 2.86 | 5000 | 0.5253 | 0.8267 |
| 0.3118 | 3.14 | 5500 | 0.5616 | 0.8314 |
| 0.2664 | 3.43 | 6000 | 0.6006 | 0.8279 |
| 0.2721 | 3.71 | 6500 | 0.6217 | 0.8272 |
| 0.2703 | 4.0 | 7000 | 0.6309 | 0.8259 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
