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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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- kpriyanshu256/databricks-dolly-15k-hi |
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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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<!-- 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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# llama2-7b-int4-dolly-15k-hindi-flash-attention2-w-packing |
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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 [kpriyanshu256/databricks-dolly-15k-hi](https://huggingface.co/datasets/kpriyanshu256/databricks-dolly-15k-hi) 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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## 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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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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### Training results |
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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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### Framework versions |
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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 |
