Llama2_AAID_mixed_train

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the AAID_mixed dataset. It achieves the following results on the evaluation set:

• Loss: 0.5246

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: 0.0003
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.5736	0.2188	200	0.5246
0.2786	0.4375	400	0.5494
0.2451	0.6563	600	0.6042
0.1933	0.8750	800	0.6790
0.1238	1.0938	1000	0.8847
0.0634	1.3126	1200	1.1057

Framework versions

• PEFT 0.11.1
• Transformers 4.41.1
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1