Jonathanmann
commited on
Model save
Browse files- README.md +4 -10
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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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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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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:
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- total_train_batch_size:
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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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adapter_model.safetensors
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training_args.bin
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