flan-t5-small-proverb-es-classification-neg-trigrams

This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0182
• F1: 98.8726
• Gen Len: 2.5450

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: 0.0003
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Gen Len
0.0543	1.0	1125	0.0201	98.4516	2.5388
0.0134	2.0	2250	0.0182	98.8726	2.5450

Framework versions

• Transformers 4.44.0
• Pytorch 2.4.0
• Datasets 3.1.0
• Tokenizers 0.19.1