Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
tc-xlmr-viwikifc-finetuned-vihallu-fold-2 – AI Model by sercetexam9 | AlphaNeural AI
You can deploy this model and start earning money today!
sercetexam9
/
tc-xlmr-viwikifc-finetuned-vihallu-fold-2
like
0
transformers
safetensors
claim_verification
generated_from_trainer
SemViQA/tc-xlmr-viwikifc
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
tc-xlmr-viwikifc-finetuned-vihallu-fold-2
This model is a fine-tuned version of
SemViQA/tc-xlmr-viwikifc
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5506
Accuracy: 0.8114
F1 Macro: 0.8116
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: 2e-05
train_batch_size: 4
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Macro
0.6264
1.0
350
0.5740
0.7829
0.7820
0.4514
2.0
700
0.5506
0.8114
0.8116
Framework versions
Transformers 4.44.2
Pytorch 2.8.0+cu128
Datasets 2.20.0
Tokenizers 0.19.1
