| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: test_trainer |
| | results: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # test_trainer |
| | |
| | This model is a fine-tuned version of [flaubert/flaubert_small_cased](https://huggingface.co/flaubert/flaubert_small_cased) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.0163 |
| | - Accuracy: 0.6225 |
| | |
| | ## 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: 5e-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: 6 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 345 | 1.0352 | 0.5435 | |
| | | 1.2697 | 2.0 | 690 | 1.0254 | 0.5696 | |
| | | 1.0075 | 3.0 | 1035 | 1.0079 | 0.5891 | |
| | | 1.0075 | 4.0 | 1380 | 0.9745 | 0.6101 | |
| | | 0.8314 | 5.0 | 1725 | 0.9866 | 0.6188 | |
| | | 0.738 | 6.0 | 2070 | 1.0163 | 0.6225 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.30.0.dev0 |
| | - Pytorch 2.0.0+cu118 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| | |
