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xlm-roberta-base-finetuned-panx-all – AI Model by philosucker | AlphaNeural AI
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philosucker
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xlm-roberta-base-finetuned-panx-all
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of
xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2524
F1: 0.8591
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.3574
1.0
5005
0.2632
0.7974
0.2157
2.0
10010
0.2545
0.8385
0.1376
3.0
15015
0.2524
0.8591
Framework versions
Transformers 4.25.1
Pytorch 1.7.1
Datasets 1.18.4
Tokenizers 0.13.2
