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--- |
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license: llama2 |
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library_name: peft |
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tags: |
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- trl-sft |
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- generated_from_trainer |
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datasets: |
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- generator |
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base_model: sarvamai/OpenHathi-7B-Hi-v0.1-Base |
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model-index: |
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- name: OpenHathi-7B-Hi-v0.1-Instruct |
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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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# OpenHathi-7B-Hi-v0.1-Instruct |
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This model is a fine-tuned version of [sarvamai/OpenHathi-7B-Hi-v0.1-Base](https://huggingface.co/sarvamai/OpenHathi-7B-Hi-v0.1-Base) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9311 |
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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: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 100 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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: 0.03 |
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- num_epochs: 3.0 |
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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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| 1.5099 | 1.0 | 175 | 0.9747 | |
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| 1.4435 | 2.0 | 351 | 0.9363 | |
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| 1.4369 | 2.99 | 525 | 0.9311 | |
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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 2.15.0 |
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- Tokenizers 0.15.0 |
