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End of training

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  1. README.md +4 -4
  2. adapter_model.bin +1 -1
README.md CHANGED
@@ -39,7 +39,7 @@ datasets:
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  system_prompt: ''
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  debug: null
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  deepspeed: null
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- device_map: sequential
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  early_stopping_patience: 1
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  eval_batch_size: 1
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  eval_max_new_tokens: 128
@@ -118,7 +118,7 @@ xformers_attention: false
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  This model is a fine-tuned version of [Xenova/tiny-random-Phi3ForCausalLM](https://huggingface.co/Xenova/tiny-random-Phi3ForCausalLM) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 10.3643
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  ## Model description
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@@ -156,8 +156,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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  | 10.3797 | 0.0026 | 1 | 10.3801 |
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- | 10.3763 | 0.0655 | 25 | 10.3686 |
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- | 10.3717 | 0.1311 | 50 | 10.3643 |
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  ### Framework versions
 
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  system_prompt: ''
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  debug: null
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  deepspeed: null
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+ device_map: sequentia
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  early_stopping_patience: 1
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  eval_batch_size: 1
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  eval_max_new_tokens: 128
 
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  This model is a fine-tuned version of [Xenova/tiny-random-Phi3ForCausalLM](https://huggingface.co/Xenova/tiny-random-Phi3ForCausalLM) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 10.3630
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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  | 10.3797 | 0.0026 | 1 | 10.3801 |
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+ | 10.3761 | 0.0655 | 25 | 10.3677 |
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+ | 10.3705 | 0.1311 | 50 | 10.3630 |
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  ### Framework versions
adapter_model.bin CHANGED
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