llama-3.1-8b-cb-lora – AI Model by ASethi04 | AlphaNeural AI

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ASethi04/
llama-3.1-8b-cb-lora

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meta-llama/Llama-3.1-8B

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llama-3.1-8b-cb-lora

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the super_glue dataset. It achieves the following results on the evaluation set:

Loss: 0.1799
Accuracy: 0.9107
Precision: 0.8285
Recall: 0.8258
F1: 0.8269

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.2742	1.0	125	0.2792	0.8571	0.5775	0.6232	0.5974
0.1141	2.0	250	0.3887	0.875	0.5833	0.6377	0.6090
0.0421	3.0	375	0.2048	0.8929	0.7703	0.7069	0.7166
0.0019	4.0	500	0.1799	0.9107	0.8285	0.8258	0.8269

Framework versions

PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 2.19.0
Tokenizers 0.20.1