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End of training

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  1. README.md +60 -0
  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: google-t5/t5-small
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+ model-index:
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+ - name: T5_lyrics-model
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # T5_lyrics-model
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+
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+ This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.3638
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+ - eval_runtime: 137.251
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+ - eval_samples_per_second: 43.643
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+ - eval_steps_per_second: 2.732
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+ - epoch: 0.03
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+ - step: 75
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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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: 250
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+
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+ ### Framework versions
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+
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+ - PEFT 0.8.2
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+ - Transformers 4.38.1
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+ - Pytorch 1.13.1
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
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