xlmr-parlasentiment-pt – AI Model by cshaul | AlphaNeural AI | AlphaNeural AI

You can deploy this model and start earning money today!

cshaul/
xlmr-parlasentiment-pt

like

0

text-classification

generated_from_trainer

classla/xlm-r-parla

autotrain_compatible

endpoints_compatible

Views

No views yet

xlmr-parlasentiment-pt

This model is a fine-tuned version of classla/xlm-r-parla on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1312
R2: 0.9508
Mse: 0.1312
Mae: 0.2213

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: 8e-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	R2	Mse	Mae
0.1893	1.0	35383	0.1690	0.9366	0.1690	0.2516
0.1331	2.0	70766	0.1712	0.9358	0.1712	0.2547
0.0775	3.0	106149	0.1389	0.9479	0.1389	0.2258
0.0518	4.0	141532	0.1312	0.9508	0.1312	0.2213

Framework versions

Transformers 4.48.2
Pytorch 2.6.0+cu124
Datasets 3.3.1
Tokenizers 0.21.0