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roberta-base_vcom_questions – AI Model by hilal-vcom | AlphaNeural AI
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roberta-base_vcom_questions
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roberta-base_vcom_questions
This model is a fine-tuned version of
roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0395
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
1.1656
1.0
135
0.7632
0.432
2.0
270
0.2560
0.3726
3.0
405
0.4166
0.557
4.0
540
0.0973
0.0837
5.0
675
0.0395
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cpu
Datasets 2.14.4
Tokenizers 0.22.0
