| --- |
| license: mit |
| base_model: roberta-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: roberta-base_disaster_tweets_explosion |
| 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_disaster_tweets_explosion |
| |
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3607 |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 0.4998 | 1.0 | 3750 | 0.4271 | |
| | 0.6674 | 2.0 | 7500 | 0.6755 | |
| | 0.6732 | 3.0 | 11250 | 0.6843 | |
| | 0.7017 | 4.0 | 15000 | 0.7210 | |
| | 0.2923 | 5.0 | 18750 | 0.3607 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.35.0 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
|
|
