RLHF_TinyLlama_Medical_QA

This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6357
• Accuracy: 1.0

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: 2e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 5
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8981	1.0	4	0.6366	1.0
0.3334	2.0	8	0.6359	1.0
2.9336	3.0	12	0.6358	1.0
0.8956	4.0	16	0.6358	1.0
3.2563	5.0	20	0.6357	1.0

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1