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xlmr-roberta-base-fintuned-panx-multi-27-07-2024 – AI Model by Tkag | AlphaNeural AI
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Tkag
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xlmr-roberta-base-fintuned-panx-multi-27-07-2024
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transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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xlmr-roberta-base-fintuned-panx-multi-27-07-2024
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: 0.1778
F1: 1.0
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: 8
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
0.2927
1.0
835
0.2102
0.0
0.1581
2.0
1670
0.1777
1.0
0.1036
3.0
2505
0.1778
1.0
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
