End of training
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README.md
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This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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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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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7248
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 30
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- training_steps: 1600
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.2597 | 0.0625 | 100 | 1.1604 |
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| 0.9591 | 0.125 | 200 | 0.9402 |
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| 0.8109 | 0.1875 | 300 | 0.8431 |
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| 0.7151 | 0.25 | 400 | 0.7917 |
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| 0.6362 | 0.3125 | 500 | 0.7607 |
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| 0.5759 | 0.375 | 600 | 0.7401 |
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| 0.5284 | 0.4375 | 700 | 0.7334 |
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| 0.4926 | 0.5 | 800 | 0.7252 |
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| 0.4616 | 0.5625 | 900 | 0.7212 |
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| 0.4369 | 0.625 | 1000 | 0.7236 |
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| 0.4111 | 0.6875 | 1100 | 0.7255 |
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| 0.3969 | 0.75 | 1200 | 0.7236 |
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| 0.3855 | 0.8125 | 1300 | 0.7260 |
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| 0.3822 | 0.875 | 1400 | 0.7262 |
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| 0.3768 | 0.9375 | 1500 | 0.7256 |
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| 0.3778 | 1.0 | 1600 | 0.7248 |
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### Framework versions
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