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XLM-RoBERTa-xtreme-en – AI Model by arize-ai | AlphaNeural AI
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XLM-RoBERTa-xtreme-en
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transformers
pytorch
tensorboard
xlm-roberta
token-classification
generated_from_trainer
xtreme_en
mit
model-index
autotrain_compatible
endpoints_compatible
us
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XLM-RoBERTa-xtreme-en
This model is a fine-tuned version of
xlm-roberta-base
on the xtreme_en dataset. It achieves the following results on the evaluation set:
Loss: 0.2838
Accuracy: 0.9109
F1: 0.7544
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: 32
eval_batch_size: 32
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
Accuracy
F1
0.6502
1.0
235
0.3328
0.8995
0.7251
0.3239
2.0
470
0.2897
0.9101
0.7473
0.2644
3.0
705
0.2838
0.9109
0.7544
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
