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xlm-roberta-base-finetuned-panx-en – AI Model by RobertoMCA97 | AlphaNeural AI
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RobertoMCA97
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xlm-roberta-base-finetuned-panx-en
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
xtreme
mit
model-index
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of
xlm-roberta-base
on the xtreme dataset. It achieves the following results on the evaluation set:
Loss: 0.3925
F1: 0.7075
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: 24
eval_batch_size: 24
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
F1
1.1493
1.0
50
0.5884
0.4748
0.5135
2.0
100
0.4088
0.6623
0.3558
3.0
150
0.3925
0.7075
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
