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roberta-base-bne-finetuned-Tass2020 – AI Model by johacbeg | AlphaNeural AI
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roberta-base-bne-finetuned-Tass2020
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transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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roberta-base-bne-finetuned-Tass2020
This model is a fine-tuned version of
BSC-TeMU/roberta-base-bne
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.1447
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
3.9512
1.0
15
3.4947
3.37
2.0
30
2.9933
3.1298
3.0
45
3.1546
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
