reuters-gpt2-text-gen

This model is a fine-tuned version of rahul-bhoyar-1995/reuters-gpt2-text-gen on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 5.3160

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.0816	0.9940	125	5.3160

Framework versions

• Transformers 4.45.2
• Pytorch 2.2.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.1