deepakkoli93
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README.md
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This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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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: 0.
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs:
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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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| 0.0 | 3.0 | 2336 | nan |
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| 0.0 | 4.0 | 3112 | nan |
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### Framework versions
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This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.8278
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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: 0.01
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.0872 | 1.0 | 778 | 4.0301 |
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| 4.0179 | 2.0 | 1556 | 3.8278 |
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### Framework versions
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adapter_model.safetensors
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runs/Mar17_03-30-27_49ba99224e28/events.out.tfevents.1710646302.49ba99224e28.266.0
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