| --- |
| license: mit |
| base_model: FacebookAI/roberta-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: roberta-base |
| 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. --> |
|
|
| # roberta-base |
|
|
| This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3745 |
| - Icm: -0.0196 |
| - Icmnorm: 0.4901 |
| - Fmeasure: 0.6565 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:--------:| |
| | 0.6233 | 1.0 | 771 | 0.6371 | -0.0341 | 0.4827 | 0.6416 | |
| | 0.4026 | 2.0 | 1542 | 0.8523 | -0.1320 | 0.4330 | 0.5968 | |
| | 0.2684 | 3.0 | 2313 | 1.3745 | -0.0196 | 0.4901 | 0.6565 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
| |
