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xlm-roberta-base-finetuned-panx-allv – AI Model by Venkatesh4342 | AlphaNeural AI
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Venkatesh4342
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xlm-roberta-base-finetuned-panx-allv
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transformers
pytorch
tensorboard
xlm-roberta
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-panx-allv
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: 0.1652
F1: 0.8800
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
625
0.1833
0.8490
No log
2.0
1250
0.1661
0.8672
No log
3.0
1875
0.1609
0.8753
0.1641
4.0
2500
0.1652
0.8800
Framework versions
Transformers 4.27.0
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3
