| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: finetuned-Sentiment-classfication-ROBERTA-model |
| 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. --> |
|
|
| # finetuned-Sentiment-classfication-ROBERTA-model |
|
|
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5618 |
| - Rmse: 0.6118 |
|
|
| ## 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 |
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|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Rmse | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | 0.7273 | 2.0 | 500 | 0.5618 | 0.6118 | |
| | 0.4294 | 4.0 | 1000 | 0.5821 | 0.5906 | |
| | 0.2278 | 6.0 | 1500 | 0.8019 | 0.6235 | |
| | 0.1246 | 8.0 | 2000 | 0.9412 | 0.5961 | |
| | 0.083 | 10.0 | 2500 | 1.1040 | 0.5978 | |
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| ### Framework versions |
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|
| - Transformers 4.28.1 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
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|
