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--- |
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license: mit |
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base_model: 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: my_model |
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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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# my_model |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6561 |
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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: 2 |
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- eval_batch_size: 2 |
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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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- lr_scheduler_warmup_steps: 300 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.0481 | 1.0 | 638 | 1.7660 | |
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| 1.3097 | 2.0 | 1276 | 1.6561 | |
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| 1.3712 | 3.0 | 1914 | 1.6632 | |
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| 1.7868 | 4.0 | 2552 | 1.6640 | |
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| 1.3863 | 5.0 | 3190 | 1.7156 | |
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| 1.488 | 6.0 | 3828 | 1.7067 | |
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| 1.4615 | 7.0 | 4466 | 1.7098 | |
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| 1.853 | 8.0 | 5104 | 1.7113 | |
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| 1.574 | 9.0 | 5742 | 1.7162 | |
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| 2.0823 | 10.0 | 6380 | 1.7148 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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