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: 1.0239
• Accuracy: 0.6809

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	1.7652	0.3404
No log	2.0	46	1.5508	0.3617
No log	3.0	69	1.3282	0.5745
No log	4.0	92	1.2225	0.5957
No log	5.0	115	1.1793	0.5532
No log	6.0	138	1.0931	0.5957
No log	7.0	161	1.0530	0.6596
No log	8.0	184	0.9922	0.7234
No log	9.0	207	1.0115	0.7234
No log	10.0	230	1.0239	0.6809

Framework versions

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