RouteTisaleoGPT2

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

• Loss: 0.4038

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	82	0.7659
No log	2.0	164	0.5927
No log	3.0	246	0.5200
No log	4.0	328	0.4793
No log	5.0	410	0.4522
No log	6.0	492	0.4323
0.6558	7.0	574	0.4197
0.6558	8.0	656	0.4105
0.6558	9.0	738	0.4061
0.6558	10.0	820	0.4038

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0