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pbedmar/
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: 1.1007
Accuracy: 0.6383

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	1.7629	0.3404
No log	2.0	46	1.5899	0.5319
No log	3.0	69	1.3709	0.5745
No log	4.0	92	1.2954	0.5532
No log	5.0	115	1.1268	0.5745
No log	6.0	138	1.0864	0.6383
No log	7.0	161	1.1154	0.6383
No log	8.0	184	1.0598	0.6809
No log	9.0	207	1.1047	0.6596
No log	10.0	230	1.1007	0.6383

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0

pbedmar/clasificador-tweets

clasificador-tweets

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pbedmar/
clasificador-tweets