Model save
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README.md
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---
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base_model: klue/roberta-large
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: reward-bert-duplicate-answer-2
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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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# reward-bert-duplicate-answer-2
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This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1079
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- Accuracy: 0.0
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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: 6
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- eval_batch_size: 6
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- seed: 2023
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- gradient_accumulation_steps: 10
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- total_train_batch_size: 60
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.3215 | 0.26 | 100 | 0.2251 | 0.0 |
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| 0.1895 | 0.53 | 200 | 0.1267 | 0.0 |
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| 0.1497 | 0.79 | 300 | 0.1079 | 0.0 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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model.safetensors
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