<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
distilbert-base-uncased-becas-3
This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset. It achieves the following results on the evaluation set:
- Loss: 5.9817
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: 0.0001
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 4 | 4.7485 |
| No log | 2.0 | 8 | 4.9898 |
| No log | 3.0 | 12 | 4.5283 |
| No log | 4.0 | 16 | 5.2474 |
| No log | 5.0 | 20 | 5.7884 |
| No log | 6.0 | 24 | 5.7276 |
| No log | 7.0 | 28 | 6.1736 |
| No log | 8.0 | 32 | 6.2020 |
| No log | 9.0 | 36 | 5.9669 |
| No log | 10.0 | 40 | 5.9817 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
