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xlm-roberta-base-finetuned-panx-en – AI Model by RupE | AlphaNeural AI
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RupE
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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: 0.6380
F1: 0.5542
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: 96
eval_batch_size: 96
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
No log
1.0
13
1.0388
0.1801
No log
2.0
26
0.7545
0.5053
No log
3.0
39
0.6380
0.5542
Framework versions
Transformers 4.21.0.dev0
Pytorch 1.12.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
