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xlm-roberta-large-finetuned-clinais – AI Model by joheras | AlphaNeural AI
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joheras
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xlm-roberta-large-finetuned-clinais
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transformers
pytorch
tensorboard
xlm-roberta
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-large-finetuned-clinais
This model is a fine-tuned version of
xlm-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3304
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
223
1.4252
1.5639
2.0
446
1.3926
1.5639
3.0
669
1.3191
1.3607
4.0
892
1.2716
1.3607
5.0
1115
1.2903
Framework versions
Transformers 4.27.0.dev0
Pytorch 1.13.0
Datasets 2.8.0
Tokenizers 0.12.1
