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outputs_gptq_training

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End of training

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  1. README.md +7 -17
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2505
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  ## Model description
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@@ -37,32 +37,22 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0002
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- - train_batch_size: 1
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 4
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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: 2
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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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- | 0.3021 | 0.01 | 50 | 0.2990 |
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- | 0.2768 | 0.01 | 100 | 0.2823 |
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- | 0.2781 | 0.02 | 150 | 0.2751 |
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- | 0.2701 | 0.02 | 200 | 0.2724 |
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- | 0.2594 | 0.03 | 250 | 0.2634 |
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- | 0.2496 | 0.03 | 300 | 0.2591 |
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- | 0.2975 | 0.04 | 350 | 0.2560 |
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- | 0.2443 | 0.04 | 400 | 0.2535 |
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- | 0.277 | 0.05 | 450 | 0.2512 |
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- | 0.2407 | 0.05 | 500 | 0.2505 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3048
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 2
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  - eval_batch_size: 8
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  - seed: 42
 
 
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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: 200
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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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+ | 0.3611 | 0.01 | 100 | 0.3279 |
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+ | 0.2922 | 0.01 | 200 | 0.3048 |
 
 
 
 
 
 
 
 
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  ### Framework versions
adapter_config.json CHANGED
@@ -20,9 +20,9 @@
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  "revision": null,
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  "target_modules": [
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  "k_proj",
 
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  "o_proj",
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- "q_proj",
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- "v_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_rslora": false
 
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  "revision": null,
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  "target_modules": [
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  "k_proj",
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+ "v_proj",
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  "o_proj",
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+ "q_proj"
 
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_rslora": false
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