| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| - recall |
| - precision |
| model-index: |
| - name: sentiment-roberta-e6-b16-data2 |
| 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. --> |
|
|
| # sentiment-roberta-e6-b16-data2 |
|
|
| This model is a fine-tuned version of [siebert/sentiment-roberta-large-english](https://huggingface.co/siebert/sentiment-roberta-large-english) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4505 |
| - F1: 0.7682 |
| - Recall: 0.7682 |
| - Precision: 0.7682 |
|
|
| ## Model description |
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| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
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|
| ## Training and evaluation data |
|
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| More information needed |
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|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-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 | F1 | Recall | Precision | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:| |
| | No log | 1.0 | 375 | 0.7961 | 0.7089 | 0.7089 | 0.7089 | |
| | 0.6924 | 2.0 | 750 | 0.6880 | 0.7601 | 0.7601 | 0.7601 | |
| | 0.3191 | 3.0 | 1125 | 1.1324 | 0.7520 | 0.7520 | 0.7520 | |
| | 0.1802 | 4.0 | 1500 | 1.2056 | 0.7682 | 0.7682 | 0.7682 | |
| | 0.1802 | 5.0 | 1875 | 1.3942 | 0.7736 | 0.7736 | 0.7736 | |
| | 0.088 | 6.0 | 2250 | 1.4505 | 0.7682 | 0.7682 | 0.7682 | |
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| ### Framework versions |
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|
| - Transformers 4.30.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.13.1 |
| - Tokenizers 0.13.3 |
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|
