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jumava/
clasificador-tweets

Name: clasificador-tweets
Availability: InStock

generated_from_trainer

mrm8488/electricidad-base-discriminator

finetune

autotrain_compatible

endpoints_compatible

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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: 1.0767
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	1.7712	0.3404
No log	2.0	46	1.6196	0.4255
No log	3.0	69	1.3435	0.6170
No log	4.0	92	1.1709	0.6596
No log	5.0	115	1.1059	0.6170
No log	6.0	138	1.0863	0.6809
No log	7.0	161	1.1387	0.7021
No log	8.0	184	1.0747	0.6809
No log	9.0	207	1.0624	0.6809
No log	10.0	230	1.0767	0.6809

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

jumava/clasificador-tweets

clasificador-tweets

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jumava/
clasificador-tweets