Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
rtmex23-pol2-ptl_v5 – AI Model by javilonso | AlphaNeural AI
You can deploy this model and start earning money today!
javilonso
/
rtmex23-pol2-ptl_v5
like
0
transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
rtmex23-pol2-ptl_v5
This model is a fine-tuned version of
PlanTL-GOB-ES/roberta-base-bne
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9794
F1: 0.8604
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: 2.5e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.6419
1.0
17996
0.5762
0.7539
0.3916
2.0
35992
0.4623
0.8186
0.2182
3.0
53988
0.6224
0.8508
0.0796
4.0
71984
0.9794
0.8604
Framework versions
Transformers 4.29.1
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.3
