AdamGrzesik
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Update README.md
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README.md
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@@ -3,7 +3,7 @@ base_model: alpindale/Mistral-7B-v0.2-hf
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tags:
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- generated_from_trainer
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model-index:
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- name:
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results: []
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---
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.001
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output_dir: /workspace/
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sequence_len: 16384
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sample_packing: true
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</details><br>
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#
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This model is a fine-tuned version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.8281
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.6131 | 0.09 | 1 | 3.8281 |
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### Framework versions
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- Transformers 4.40.0.dev0
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- Pytorch 2.2.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.0
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tags:
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- generated_from_trainer
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model-index:
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- name: AdamGrzesik/Samantha-PL-AG-Mistral-7B-v0.2
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results: []
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---
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dataset_prepared_path: last_run_prepared
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val_set_size: 0.001
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output_dir: /workspace/Samantha
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sequence_len: 16384
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sample_packing: true
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</details><br>
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# AdamGrzesik/Samantha-PL-AG-Mistral-7B-v0.2
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This model is a fine-tuned version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) on the None dataset.
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### Training hyperparameters
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 4
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