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README.md
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| Step | Training Loss | Validation Loss |
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| 50 | 0.
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| 100 | 0.
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| 150 | 0.
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| 200 | 0.
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| 250 | 0.
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### HumanEval results π
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### Example of usage π©βπ»
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```py
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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| Step | Training Loss | Validation Loss |
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|------|---------------|-----------------|
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| 50 | 0.763100 | 0.717398 |
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| 100 | 0.673500 | 0.694871 |
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| 150 | 0.696000 | 0.689336 |
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| 200 | 0.786100 | 0.687515 |
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| 250 | 0.734600 | 0.686658 |
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### HumanEval results π
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### Example of usage π©βπ»
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```py
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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