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

Tamil-ASR, ASR-fine-tuning, Tamil-llama

generated_from_trainer

abhinand/tamil-llama-7b-instruct-v0.1

adapter

llama2

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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
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 1500

Training results

Training Loss	Epoch	Step	Validation Loss
2.4659	2.58	500	4.2383
1.9248	5.17	1000	4.6944
1.4112	7.75	1500	5.3527

Framework versions

PEFT 0.8.2
Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.15.1

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

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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