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robertita-cased-finetuned-quales – AI Model by luischir | AlphaNeural AI
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luischir
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robertita-cased-finetuned-quales
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transformers
pytorch
roberta
question-answering
generated_from_trainer
filevich/robertita-cased
finetune
mit
endpoints_compatible
us
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robertita-cased-finetuned-quales
This model is a fine-tuned version of
filevich/robertita-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4854
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.6568
1.0
960
0.4299
0.2565
2.0
1920
0.4342
0.1657
3.0
2880
0.4854
Framework versions
Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1
