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--- |
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license: mit |
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base_model: FacebookAI/roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: RoBERTa_EmpAI_FineTuned |
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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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# RoBERTa_EmpAI_FineTuned |
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0707 |
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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: 1e-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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 483 | 7.4258 | |
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| 12.6437 | 2.0 | 967 | 2.1112 | |
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| 4.9019 | 3.0 | 1450 | 0.0872 | |
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| 0.4036 | 4.0 | 1934 | 0.0765 | |
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| 0.0802 | 4.99 | 2415 | 0.0754 | |
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| 0.0737 | 6.0 | 2898 | 0.0708 | |
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| 0.0749 | 7.0 | 3382 | 0.0705 | |
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| 0.0712 | 8.0 | 3865 | 0.0702 | |
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| 0.0708 | 9.0 | 4349 | 0.0692 | |
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| 0.0698 | 9.99 | 4830 | 0.0696 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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