gpt2-large-bne-milunanoches

This model is a fine-tuned version of PlanTL-GOB-ES/gpt2-large-bne on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.9118

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: 1
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.97	25	3.2210
No log	1.97	50	2.9247
No log	2.97	75	2.8850
No log	3.97	100	2.9118

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1