FreeLabSeminar_MammoLLM_Dabin7

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

• eval_loss: 4.4369
• eval_runtime: 0.6853
• eval_samples_per_second: 729.563
• eval_steps_per_second: 4.377
• epoch: 0.74
• step: 5

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: 3

Framework versions

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