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tc-xlmr-viwikifc-finetuned-vihallu-fold-1 – AI Model by sercetexam9 | AlphaNeural AI
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tc-xlmr-viwikifc-finetuned-vihallu-fold-1
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SemViQA/tc-xlmr-viwikifc
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tc-xlmr-viwikifc-finetuned-vihallu-fold-1
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: 0.6098
Accuracy: 0.7953
F1 Macro: 0.7961
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
0.636
0.9982
412
0.6509
0.7650
0.7661
0.449
1.9964
824
0.6098
0.7953
0.7961
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
