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update model card README.md
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: BERiT_2000
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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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# BERiT_2000
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.7293
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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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| 6.9294 | 0.19 | 500 | 6.8136 |
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| 6.7692 | 0.39 | 1000 | 6.8006 |
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| 6.7567 | 0.58 | 1500 | 6.7770 |
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| 6.746 | 0.77 | 2000 | 6.7414 |
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| 6.7577 | 0.97 | 2500 | 6.7333 |
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| 6.7295 | 1.16 | 3000 | 6.7405 |
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| 6.7635 | 1.36 | 3500 | 6.7272 |
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| 6.7715 | 1.55 | 4000 | 6.7114 |
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| 6.7348 | 1.74 | 4500 | 6.7275 |
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| 6.719 | 1.94 | 5000 | 6.7322 |
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| 6.7427 | 2.13 | 5500 | 6.7242 |
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| 6.7136 | 2.32 | 6000 | 6.6852 |
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| 6.719 | 2.52 | 6500 | 6.7430 |
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| 6.7229 | 2.71 | 7000 | 6.7331 |
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| 6.7166 | 2.9 | 7500 | 6.7293 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.2
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