finetuning-sentiment-model-spanish

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

• Loss: 0.1337
• Accuracy: 0.9482
• F1: 0.9483

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: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.1632	0.4486	1000	0.1624	0.9414	0.9295
0.1361	0.8973	2000	0.1254	0.9453	0.9356
0.116	1.3459	3000	0.1451	0.9463	0.9438
0.1175	1.7945	4000	0.1337	0.9482	0.9483

Framework versions

• Transformers 4.57.2
• Pytorch 2.9.0+cu126
• Datasets 3.6.0
• Tokenizers 0.22.1