bert-small-finetuned-finetuned-parsed-longer50
This model is a fine-tuned version of muhtasham/bert-small-finetuned-parsed20 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9278
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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 4 | 2.9807 |
| No log | 2.0 | 8 | 2.7267 |
| No log | 3.0 | 12 | 3.3484 |
| No log | 4.0 | 16 | 2.7573 |
| No log | 5.0 | 20 | 2.7063 |
| No log | 6.0 | 24 | 2.7353 |
| No log | 7.0 | 28 | 3.1290 |
| No log | 8.0 | 32 | 2.9371 |
| No log | 9.0 | 36 | 3.4265 |
| No log | 10.0 | 40 | 3.0537 |
| No log | 11.0 | 44 | 3.1382 |
| No log | 12.0 | 48 | 3.1454 |
| No log | 13.0 | 52 | 2.8379 |
| No log | 14.0 | 56 | 3.2760 |
| No log | 15.0 | 60 | 3.0504 |
| No log | 16.0 | 64 | 2.9001 |
| No log | 17.0 | 68 | 2.8892 |
| No log | 18.0 | 72 | 3.1837 |
| No log | 19.0 | 76 | 2.6404 |
| No log | 20.0 | 80 | 3.0600 |
| No log | 21.0 | 84 | 3.1432 |
| No log | 22.0 | 88 | 2.9608 |
| No log | 23.0 | 92 | 3.0513 |
| No log | 24.0 | 96 | 3.1038 |
| No log | 25.0 | 100 | 3.0975 |
| No log | 26.0 | 104 | 2.8977 |
| No log | 27.0 | 108 | 2.9416 |
| No log | 28.0 | 112 | 2.9015 |
| No log | 29.0 | 116 | 2.7947 |
| No log | 30.0 | 120 | 2.9278 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1