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xlm-roberta-base-finetuned-m_avoid_harm_seler – AI Model by Gregorig | AlphaNeural AI
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Gregorig
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xlm-roberta-base-finetuned-m_avoid_harm_seler
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transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-m_avoid_harm_seler
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5754
Accuracy: 0.725
F1: 0.8120
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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.7371
1.0
26
0.6372
0.965
0.9478
0.6778
2.0
52
0.6466
0.74
0.8221
0.655
3.0
78
0.6079
0.69
0.7871
0.5883
4.0
104
0.5863
0.77
0.8415
0.5832
5.0
130
0.5754
0.725
0.8120
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Tokenizers 0.19.1
