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  | Step | Training Loss | Validation Loss |
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- |------|----------|----------|
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- | 50 | 0.624400 | 0.600070 |
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- | 100 | 0.634100 | 0.592757 |
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- | 150 | 0.545800 | 0.586652 |
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- | 200 | 0.572500 | 0.577525 |
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- | 250 | 0.528000 | 0.590118 |
 
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  ### HumanEval results πŸ“Š
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  ### Example of usage πŸ‘©β€πŸ’»
 
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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 πŸ“Š
 
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  ### Example of usage πŸ‘©β€πŸ’»
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  ```py
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  import torch
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  from transformers import AutoModelForCausalLM, AutoTokenizer