End of training
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README.md
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Rewards/chosen: -
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- Rewards/rejected: -
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- Rewards/accuracies: 0.
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- Rewards/margins:
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: -
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- Logits/chosen: -
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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### Framework versions
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 18.2999
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- Rewards/chosen: -55.1127
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- Rewards/rejected: -55.1897
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- Rewards/accuracies: 0.4073
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- Rewards/margins: 0.0770
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- Logps/rejected: -625.9051
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- Logps/chosen: -588.4946
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- Logits/rejected: -8.9525
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- Logits/chosen: -8.9519
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 22.9478 | 2.3088 | 100 | 18.2999 | -55.1127 | -55.1897 | 0.4073 | 0.0770 | -625.9051 | -588.4946 | -8.9525 | -8.9519 |
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### Framework versions
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