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End of training

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README.md ADDED
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+ ---
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+ library_name: peft
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ datasets:
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+ - generator
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+ base_model: NousResearch/Llama-2-7b-hf
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+ model-index:
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+ - name: llama2-7b-int4-dolly-15k-hindi-flash-attention2-w-packing
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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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+ # llama2-7b-int4-dolly-15k-hindi-flash-attention2-w-packing
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+
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+ This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5537
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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: 6
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+ - eval_batch_size: 4
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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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+ - num_epochs: 3
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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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+ | 0.6986 | 0.16 | 100 | 0.6539 |
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+ | 0.6441 | 0.31 | 200 | 0.6297 |
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+ | 0.6231 | 0.47 | 300 | 0.6146 |
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+ | 0.6066 | 0.62 | 400 | 0.6020 |
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+ | 0.5922 | 0.78 | 500 | 0.5930 |
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+ | 0.6023 | 0.94 | 600 | 0.5847 |
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+ | 0.5618 | 1.09 | 700 | 0.5792 |
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+ | 0.5496 | 1.25 | 800 | 0.5742 |
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+ | 0.5428 | 1.41 | 900 | 0.5699 |
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+ | 0.5336 | 1.56 | 1000 | 0.5643 |
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+ | 0.5331 | 1.72 | 1100 | 0.5605 |
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+ | 0.5255 | 1.88 | 1200 | 0.5574 |
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+ | 0.5155 | 2.03 | 1300 | 0.5581 |
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+ | 0.4851 | 2.19 | 1400 | 0.5565 |
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+ | 0.4831 | 2.34 | 1500 | 0.5563 |
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+ | 0.489 | 2.5 | 1600 | 0.5545 |
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+ | 0.4901 | 2.66 | 1700 | 0.5540 |
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+ | 0.4863 | 2.81 | 1800 | 0.5537 |
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+ | 0.479 | 2.97 | 1900 | 0.5537 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.2.dev0
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.2.dev0
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+ - Tokenizers 0.15.0
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