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xlm-roberta-base-finetuned-panx-all – AI Model by okite97 | AlphaNeural AI
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okite97
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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: 0.1883
F1: 0.8538
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: 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.2967
1.0
1109
0.2050
0.8180
0.1571
2.0
2218
0.1880
0.8415
0.0983
3.0
3327
0.1883
0.8538
Framework versions
Transformers 4.20.1
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
