Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
hau-xlm-focal – AI Model by jaycentg | AlphaNeural AI
You can deploy this model and start earning money today!
jaycentg
/
hau-xlm-focal
like
0
transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
hau-xlm-focal
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 16.5916
F1-micro: 0.3420
F1-macro: 0.3557
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: 1.5e-06
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: 42
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
F1-micro
F1-macro
48.8881
1.0
108
16.9692
0.3092
0.3142
48.2359
2.0
216
16.7812
0.3293
0.3399
47.8438
3.0
324
16.6548
0.3379
0.3519
47.9222
4.0
432
16.5916
0.3420
0.3557
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1
