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xlm-roberta-base-finetuned-panx-all – AI Model by yasu52 | AlphaNeural AI
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xlm-roberta-base-finetuned-panx-all
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safetensors
xlm-roberta
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
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xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1352
F1: 0.8986
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
132
0.1648
0.8732
No log
2.0
264
0.1396
0.9412
No log
3.0
396
0.1352
0.8986
Framework versions
Transformers 4.43.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1