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bert-large-cased-finetuned-low100-0-cased-DA-20
This model is a fine-tuned version of bert-large-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1112
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: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1166 | 1.0 | 1 | 2.8426 |
| 3.3165 | 2.0 | 2 | 3.5737 |
| 2.9474 | 3.0 | 3 | 4.5615 |
| 2.8754 | 4.0 | 4 | 3.1920 |
| 2.5889 | 5.0 | 5 | 1.3226 |
| 2.6482 | 6.0 | 6 | 2.0844 |
| 3.2225 | 7.0 | 7 | 2.7027 |
| 2.5846 | 8.0 | 8 | 1.8894 |
| 2.5211 | 9.0 | 9 | 3.6235 |
| 2.8645 | 10.0 | 10 | 2.7545 |
| 2.2606 | 11.0 | 11 | 2.2238 |
| 2.3737 | 12.0 | 12 | 1.8809 |
| 2.5521 | 13.0 | 13 | 2.3081 |
| 2.4012 | 14.0 | 14 | 2.0904 |
| 2.1854 | 15.0 | 15 | 1.5814 |
| 2.1068 | 16.0 | 16 | 2.8540 |
| 2.4657 | 17.0 | 17 | 2.3973 |
| 2.4053 | 18.0 | 18 | 2.5062 |
| 1.813 | 19.0 | 19 | 2.7394 |
| 2.1094 | 20.0 | 20 | 1.8084 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
