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xlm-roberta-base-finetuned-panx-all – AI Model by omarcalderon4 | AlphaNeural AI
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xlm-roberta-base-finetuned-panx-all
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xlm-roberta
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FacebookAI/xlm-roberta-base
finetune
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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: 0.1742
F1: 0.8566
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
0.2925
1.0
835
0.2069
0.8049
0.1568
2.0
1670
0.1738
0.8450
0.1022
3.0
2505
0.1742
0.8566
Framework versions
Transformers 4.41.0
Pytorch 2.2.2
Datasets 2.14.6
Tokenizers 0.19.1
