clasificador-tweets

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0594
• Accuracy: 0.6596

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-05
• train_batch_size: 8
• eval_batch_size: 8
• 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
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	23	1.7696	0.3404
No log	2.0	46	1.5696	0.5532
No log	3.0	69	1.3208	0.5106
No log	4.0	92	1.2033	0.6170
No log	5.0	115	1.1311	0.6383
No log	6.0	138	1.0723	0.6383
No log	7.0	161	1.0911	0.6596
No log	8.0	184	1.0427	0.6809
No log	9.0	207	1.0722	0.6596
No log	10.0	230	1.0594	0.6596

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0