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xlm-jyager-base-finetuned-panx-all – AI Model by miyager | AlphaNeural AI
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miyager
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xlm-jyager-base-finetuned-panx-all
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pytorch
xlm-roberta
generated_from_trainer
mit
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xlm-jyager-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: 0.1737
F1: 0.8557
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
0.3083
1.0
835
0.1911
0.8094
0.1571
2.0
1670
0.1711
0.8420
0.1019
3.0
2505
0.1737
0.8557
Framework versions
Transformers 4.16.2
Pytorch 2.8.0+cu126
Datasets 1.16.1
Tokenizers 0.22.1
