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Model save

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  1. README.md +4 -10
  2. adapter_model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,13 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # qwen-lyrics-monitored
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  This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - eval_loss: 3.1399
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- - eval_runtime: 89.6869
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- - eval_samples_per_second: 38.222
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- - eval_steps_per_second: 4.783
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- - epoch: 1.0372
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- - step: 2000
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  ## Model description
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@@ -40,14 +33,15 @@ 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: 4
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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: 16
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
 
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  - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  # qwen-lyrics-monitored
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  This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) on the None dataset.
 
 
 
 
 
 
 
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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: 8e-05
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  - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 32
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  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 100
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  - num_epochs: 3
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  - mixed_precision_training: Native AMP
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