FreeLabSeminar_MammoLLM_Changi

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 5.2350

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: 0.0005
• train_batch_size: 192
• eval_batch_size: 192
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 768
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 5
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
6.76	0.74	5	5.2350

Framework versions

• Transformers 4.34.0
• Pytorch 1.13.1
• Datasets 2.14.5
• Tokenizers 0.14.1