FNST_trad_2f

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8298
• Accuracy: 0.6851
• F1: 0.6776

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: 5e-06
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.9535	1.0	3125	0.9298	0.5950	0.5843
0.8929	2.0	6250	0.8737	0.6295	0.6198
0.8234	3.0	9375	0.8473	0.6410	0.6317
0.7857	4.0	12500	0.8264	0.6522	0.6455
0.7489	5.0	15625	0.8219	0.6506	0.6439
0.7072	6.0	18750	0.8138	0.6601	0.6546
0.7025	7.0	21875	0.8109	0.6641	0.6607
0.6646	8.0	25000	0.8130	0.6698	0.6643
0.6557	9.0	28125	0.8014	0.6745	0.6679
0.6114	10.0	31250	0.8153	0.6745	0.6681
0.6065	11.0	34375	0.8258	0.6815	0.6738
0.5733	12.0	37500	0.8298	0.6851	0.6776

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1