| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: roberta-large-fisrt |
| | 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-large-fisrt |
| |
|
| | This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.8066 |
| | - Accuracy: 0.692 |
| | - F1: 0.5562 |
| |
|
| | ## 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-06 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | | 0.6366 | 1.0 | 751 | 0.5295 | 0.772 | 0.6460 | |
| | | 0.561 | 2.0 | 1502 | 0.5421 | 0.737 | 0.6460 | |
| | | 0.4939 | 3.0 | 2253 | 0.6779 | 0.696 | 0.4685 | |
| | | 0.4238 | 4.0 | 3004 | 0.7281 | 0.694 | 0.5565 | |
| | | 0.3769 | 5.0 | 3755 | 0.8066 | 0.692 | 0.5562 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.30.2 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| |
|
