N_bert_sst5_padding40model
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2139
- Accuracy: 0.5344
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: 16
- eval_batch_size: 16
- 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 | Accuracy |
|---|---|---|---|---|
| 1.2735 | 1.0 | 534 | 1.2001 | 0.4701 |
| 0.9729 | 2.0 | 1068 | 1.0735 | 0.5367 |
| 0.7608 | 3.0 | 1602 | 1.1589 | 0.5258 |
| 0.5806 | 4.0 | 2136 | 1.4040 | 0.5226 |
| 0.4182 | 5.0 | 2670 | 1.6600 | 0.5158 |
| 0.3021 | 6.0 | 3204 | 1.9966 | 0.5072 |
| 0.2286 | 7.0 | 3738 | 2.2465 | 0.5271 |
| 0.17 | 8.0 | 4272 | 2.5603 | 0.5258 |
| 0.1489 | 9.0 | 4806 | 2.9361 | 0.5086 |
| 0.1191 | 10.0 | 5340 | 3.1244 | 0.5208 |
| 0.0966 | 11.0 | 5874 | 3.4286 | 0.5195 |
| 0.0678 | 12.0 | 6408 | 3.6056 | 0.5195 |
| 0.0762 | 13.0 | 6942 | 3.6478 | 0.5376 |
| 0.0537 | 14.0 | 7476 | 3.8186 | 0.5258 |
| 0.0269 | 15.0 | 8010 | 4.0681 | 0.5204 |
| 0.0272 | 16.0 | 8544 | 4.0600 | 0.5380 |
| 0.0168 | 17.0 | 9078 | 4.1078 | 0.5285 |
| 0.0143 | 18.0 | 9612 | 4.1354 | 0.5371 |
| 0.0138 | 19.0 | 10146 | 4.2105 | 0.5344 |
| 0.0114 | 20.0 | 10680 | 4.2139 | 0.5344 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3