clasificador-muchocine

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3974
• Accuracy: 0.4310

Model description

This model enables the classification of user movie reviews written in Spanish into 5 categories corresponding to the number of stars provided in the review (label_0 corresponds to 1 star and label_4 to 5 stars)

Intended uses & limitations

Please, note that this model has been trained with a Spanish dataset and may therefore not be suitable for classifying texts written in other languages. Also, note that the achieved accuracy in the evaluation tests is around 43%.

Training and evaluation data

The dataset employed was randomly divided for the following purposes: 80% training data - 20% test data.

Training procedure

The model has been trained following a 3-epoch cycle.

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	388	1.3304	0.3948
1.4184	2.0	776	1.3010	0.4297
0.9847	3.0	1164	1.3974	0.4310

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1