End of training
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README.md
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# starcoder-llm-7b-base
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This model is a fine-tuned version of [bigcode/starcoderbase-7b](https://huggingface.co/bigcode/starcoderbase-7b) on an unknown dataset.
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## Model description
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- lr_scheduler_warmup_steps: 30
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- training_steps:
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### Training results
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### Framework versions
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# starcoder-llm-7b-base
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This model is a fine-tuned version of [bigcode/starcoderbase-7b](https://huggingface.co/bigcode/starcoderbase-7b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9413
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## Model description
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- lr_scheduler_warmup_steps: 30
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- training_steps: 375
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.5705 | 0.2667 | 100 | 0.9178 |
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| 0.8332 | 0.5333 | 200 | 0.9455 |
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| 1.6848 | 0.8 | 300 | 0.9413 |
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### Framework versions
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