bert-small-finetuned-parsed20
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1193
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: 128
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 4 | 3.0763 |
| No log | 2.0 | 8 | 2.8723 |
| No log | 3.0 | 12 | 3.5102 |
| No log | 4.0 | 16 | 2.8641 |
| No log | 5.0 | 20 | 2.7827 |
| No log | 6.0 | 24 | 2.8163 |
| No log | 7.0 | 28 | 3.2415 |
| No log | 8.0 | 32 | 3.0477 |
| No log | 9.0 | 36 | 3.5160 |
| No log | 10.0 | 40 | 3.1248 |
| No log | 11.0 | 44 | 3.2159 |
| No log | 12.0 | 48 | 3.2177 |
| No log | 13.0 | 52 | 2.9108 |
| No log | 14.0 | 56 | 3.3758 |
| No log | 15.0 | 60 | 3.1335 |
| No log | 16.0 | 64 | 2.9753 |
| No log | 17.0 | 68 | 2.9922 |
| No log | 18.0 | 72 | 3.2798 |
| No log | 19.0 | 76 | 2.7280 |
| No log | 20.0 | 80 | 3.1193 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1