clasificador-reviews-imdb-withsentimentanalysis-model

This model is a fine-tuned version of dnzblgn/Sentiment-Analysis-Customer-Reviews on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.8423
• Accuracy: 0.81

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	25	0.5496	0.77
No log	2.0	50	1.1318	0.79
No log	3.0	75	1.4240	0.795
No log	4.0	100	1.5637	0.785
No log	5.0	125	1.6217	0.815
No log	6.0	150	1.7791	0.81
No log	7.0	175	1.8106	0.81
No log	8.0	200	1.8260	0.805
No log	9.0	225	1.8380	0.81
No log	10.0	250	1.8423	0.81

Framework versions

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