sam2ai/llama3_odia_8b_lora_sft_v1.1

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sft

This model is a fine-tuned version of OdiaGenAI-LLM/llama_3_8b_odia_pt on the odia_sft dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3962

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: 0.0001
• —trainbatchsize: 2
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10.0

Training results

Framework versions

• —PEFT 0.11.1
• —Transformers 4.42.3
• —Pytorch 2.3.1+rocm6.0
• —Datasets 2.20.0
• —Tokenizers 0.19.1