| | --- |
| | license: mit |
| | base_model: roberta-base |
| | 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: 0.2222 |
| | - Rmse: 0.2936 |
| |
|
| | ## 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: 3e-05 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 64 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 16 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rmse | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 0.6684 | 2.72 | 500 | 0.3931 | 0.4892 | |
| | | 0.1963 | 5.43 | 1000 | 0.2222 | 0.2936 | |
| | | 0.0755 | 8.15 | 1500 | 0.2479 | 0.2757 | |
| | | 0.0413 | 10.86 | 2000 | 0.3233 | 0.2794 | |
| | | 0.0213 | 13.58 | 2500 | 0.3590 | 0.2689 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| |
|
