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training after 1 epoch

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  1. README.md +58 -0
  2. adapter_config.json +25 -0
  3. adapter_model.safetensors +3 -0
  4. added_tokens.json +3 -0
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README.md ADDED
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+ ---
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+ license: llama2
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+ base_model: TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - emotion
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+ model-index:
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+ - name: llama-2-7B-Guanaco-QLoRA-AWQ
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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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+ # llama-2-7B-Guanaco-QLoRA-AWQ
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+
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+ This model is a fine-tuned version of [TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ](https://huggingface.co/TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ) on the emotion dataset.
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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: 2e-05
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+ - train_batch_size: 256
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+ - eval_batch_size: 256
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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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+ - num_epochs: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 63 | 1.6517 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ ],
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+ "task_type": "SEQ_CLS"
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+ }
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