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--- |
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language: |
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- ta |
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license: llama2 |
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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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- Tamil-ASR, ASR-fine-tuning, Tamil-llama |
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- generated_from_trainer |
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base_model: abhinand/tamil-llama-7b-instruct-v0.1 |
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model-index: |
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- name: tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning |
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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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# tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning |
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This model is a fine-tuned version of [abhinand/tamil-llama-7b-instruct-v0.1](https://huggingface.co/abhinand/tamil-llama-7b-instruct-v0.1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.3527 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 1500 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.4659 | 2.58 | 500 | 4.2383 | |
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| 1.9248 | 5.17 | 1000 | 4.6944 | |
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| 1.4112 | 7.75 | 1500 | 5.3527 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
