sujith013/tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning

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tamil-llama-7b-instruct-quantized-ASR-output-fine-tuning

This model is a fine-tuned version of abhinand/tamil-llama-7b-instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 5.3527

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 0.0002
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 4
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: constant
• —lrschedulerwarmup_ratio: 0.03
• —training_steps: 1500

Training results

Framework versions

• —PEFT 0.8.2
• —Transformers 4.37.0
• —Pytorch 2.1.2
• —Datasets 2.16.1
• —Tokenizers 0.15.1