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--- |
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base_model: gyesibiney/covid-tweet-sentimental-Analysis-roberta |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: test_trainer |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# test_trainer |
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This model is a fine-tuned version of [gyesibiney/covid-tweet-sentimental-Analysis-roberta](https://huggingface.co/gyesibiney/covid-tweet-sentimental-Analysis-roberta) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5256 |
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## 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: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.6341 | 0.2 | 500 | 0.6156 | |
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| 0.5846 | 0.4 | 1000 | 0.6548 | |
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| 0.5447 | 0.6 | 1500 | 0.5651 | |
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| 0.523 | 0.8 | 2000 | 0.4769 | |
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| 0.5087 | 1.0 | 2500 | 0.4937 | |
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| 0.4791 | 1.2 | 3000 | 0.4567 | |
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| 0.4681 | 1.41 | 3500 | 0.4609 | |
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| 0.4255 | 1.61 | 4000 | 0.5214 | |
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| 0.4474 | 1.81 | 4500 | 0.5182 | |
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| 0.4271 | 2.01 | 5000 | 0.4983 | |
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| 0.4008 | 2.21 | 5500 | 0.4944 | |
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| 0.384 | 2.41 | 6000 | 0.4585 | |
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| 0.3629 | 2.61 | 6500 | 0.5462 | |
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| 0.3695 | 2.81 | 7000 | 0.5256 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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