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xlmr-roberta-base-fintuned-panx-multi-it-27-07-2024 – AI Model by Tkag | AlphaNeural AI
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Tkag
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xlmr-roberta-base-fintuned-panx-multi-it-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-it-27-07-2024
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: 0.2679
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
0.7217
1.0
70
0.3282
1.0
0.2736
2.0
140
0.2824
1.0
0.1838
3.0
210
0.2679
1.0
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
