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roberta-base-bne-ROBERTaBECAS – AI Model by Evelyn18 | AlphaNeural AI
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Evelyn18
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roberta-base-bne-ROBERTaBECAS
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transformers
pytorch
tensorboard
roberta
question-answering
generated_from_trainer
becasv2
apache-2.0
endpoints_compatible
us
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roberta-base-bne-ROBERTaBECAS
This model is a fine-tuned version of
BSC-TeMU/roberta-base-bne
on the becasv2 dataset. It achieves the following results on the evaluation set:
Loss: 2.5760
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: 11
eval_batch_size: 11
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
6
4.3366
No log
2.0
12
3.1395
No log
3.0
18
2.6092
No log
4.0
24
2.5084
No log
5.0
30
2.5760
Framework versions
Transformers 4.21.1
Pytorch 1.9.0+cu111
Datasets 2.4.0
Tokenizers 0.12.1