results-Meta-Llama-3-8B-tagllm-pos-1-fixed-embed

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4953

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.5852	0.2	243	1.7133
1.2777	0.4	486	1.5943
1.7293	0.6	729	1.5507
1.7879	0.8	972	1.5103
1.4942	1.0	1215	1.4953

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.2.1
• Datasets 2.19.0
• Tokenizers 0.19.1