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README.md
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<p><h1> speechless-code-mistral-7b-v1.0 </h1></p>
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Use the following dataset to fine-tune
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Total 201,981 samples.
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- jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 23,462 samples.
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| grandient_accumulation_steps | 32 |
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| bf16 | True |
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|------ | ------ |
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| epoch | 2.0 |
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| etrain_loss | 0.
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| etrain_runtime |
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| etrain_samples_per_second |
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| etrain_steps_per_second | 0.
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| eeval_loss | 0.
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| eeval_runtime | 0:00:
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| eeval_samples_per_second |
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| eeval_steps_per_second |
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| Metric | Value |
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| --- | --- |
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| humaneval-python
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[Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)
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<p><h1> speechless-code-mistral-7b-v1.0 </h1></p>
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Use the following dataset to fine-tune mistralai/Mistral-7B-v0.1 in order to improve the model's reasoning and planning abilities.
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Total 201,981 samples.
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- jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 23,462 samples.
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| grandient_accumulation_steps | 32 |
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| bf16 | True |
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A40-48G x 2
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|------ | ------ |
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| epoch | 2.0 |
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| etrain_loss | 0.5 |
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| etrain_runtime | 1 day, 10:25:26.77 |
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| etrain_samples_per_second | 3.194 |
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| etrain_steps_per_second | 0.025 |
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| eeval_loss | 0.5146 |
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| eeval_runtime | 0:00:25.04 |
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| eeval_samples_per_second | 7.985 |
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| eeval_steps_per_second | |
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| Metric | Value |
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| --- | --- |
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| humaneval-python ||
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[Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)
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