debug2-gpt2_lm-model

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

• Loss: 2.8285
• Model Preparation Time: 0.0025
• Perplexity: 16.9203
• Bpc: 4.0807

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: 0.001
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Perplexity	Bpc
2.9038	0.0442	50	2.8844	0.0025	17.8922	4.1613
2.8333	0.0883	100	2.8285	0.0025	16.9203	4.0807

Framework versions

• Transformers 4.48.1
• Pytorch 2.5.1
• Datasets 2.18.0
• Tokenizers 0.21.0