| --- |
| base_model: Tanor/BERTicovoSENTPOS2 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| model-index: |
| - name: BERTovoSENTPOS2 |
| 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. --> |
|
|
| # BERTovoSENTPOS2 |
|
|
| This model is a fine-tuned version of [Tanor/BERTicovoSENTPOS2](https://huggingface.co/Tanor/BERTicovoSENTPOS2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0573 |
| - F1: 0.4706 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
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|
| ## Training procedure |
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|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 64 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 256 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 32 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | No log | 0.99 | 47 | 0.0541 | 0.0952 | |
| | No log | 2.0 | 95 | 0.0451 | 0.5294 | |
| | No log | 2.99 | 142 | 0.0464 | 0.4706 | |
| | No log | 4.0 | 190 | 0.0570 | 0.5 | |
| | No log | 4.99 | 237 | 0.0573 | 0.4706 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.31.0 |
| - Pytorch 2.1.0.dev20230801 |
| - Datasets 2.14.2 |
| - Tokenizers 0.13.3 |
| |
