Model save
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README.md
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---
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base_model: EleutherAI/polyglot-ko-1.3b
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tags:
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- generated_from_trainer
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metrics:
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# reward-gpt
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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- Accuracy: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 9e-06
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- train_batch_size:
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- eval_batch_size:
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- seed: 2023
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- gradient_accumulation_steps:
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- total_train_batch_size:
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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 Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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### Framework versions
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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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# reward-gpt
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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: 0.0000
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- Accuracy: 0.0
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 9e-06
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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 Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.0808 | 0.15 | 100 | 0.0000 | 0.0 |
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| 0.0682 | 0.3 | 200 | 0.0000 | 0.0 |
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| 0.0718 | 0.46 | 300 | 0.0000 | 0.0 |
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| 0.0579 | 0.61 | 400 | 0.0000 | 0.0 |
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| 0.0557 | 0.76 | 500 | 0.0000 | 0.0 |
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| 0.0458 | 0.91 | 600 | 0.0000 | 0.0 |
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### Framework versions
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pytorch_model.bin
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