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ypl
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movies_gptq_recommend_v0

PEFT
Safetensors
trl
sft
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End of training

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  1. README.md +12 -7
  2. adapter_model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [TheBloke/zephyr-7B-beta-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-beta-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3724
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  ## Model description
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@@ -44,18 +44,23 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 1
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- - training_steps: 500
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.3837 | 0.0 | 100 | 0.4141 |
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- | 0.3307 | 0.01 | 200 | 0.3936 |
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- | 0.2929 | 0.01 | 300 | 0.3840 |
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- | 0.2848 | 0.01 | 400 | 0.3761 |
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- | 0.2959 | 0.02 | 500 | 0.3724 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [TheBloke/zephyr-7B-beta-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-beta-GPTQ) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2649
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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: linear
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  - lr_scheduler_warmup_steps: 1
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+ - training_steps: 1000
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.4003 | 0.0 | 100 | 0.3292 |
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+ | 0.3077 | 0.01 | 200 | 0.3024 |
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+ | 0.2775 | 0.01 | 300 | 0.2978 |
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+ | 0.2873 | 0.01 | 400 | 0.2866 |
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+ | 0.2782 | 0.02 | 500 | 0.2805 |
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+ | 0.2859 | 0.02 | 600 | 0.2740 |
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+ | 0.2573 | 0.02 | 700 | 0.2709 |
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+ | 0.2753 | 0.03 | 800 | 0.2679 |
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+ | 0.265 | 0.03 | 900 | 0.2660 |
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+ | 0.263 | 0.03 | 1000 | 0.2649 |
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  ### Framework versions
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