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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: roberta-base-finetuned-wls-manual-10ep
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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-base-finetuned-wls-manual-10ep
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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: 1.0599
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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: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 2
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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: linear
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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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| 1.8201 | 0.93 | 7 | 1.5286 |
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| 1.4462 | 2.0 | 15 | 1.3480 |
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| 1.3032 | 2.93 | 22 | 1.3377 |
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| 1.2564 | 4.0 | 30 | 1.1907 |
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| 1.246 | 4.93 | 37 | 1.1702 |
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| 1.1777 | 6.0 | 45 | 1.1549 |
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| 1.118 | 6.93 | 52 | 1.0611 |
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| 1.1339 | 8.0 | 60 | 1.1084 |
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| 1.1158 | 8.93 | 67 | 1.1376 |
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| 1.0143 | 9.33 | 70 | 1.1225 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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