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xlm-roberta-base-finetuned-raw – AI Model by 5imp5on | AlphaNeural AI
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xlm-roberta-base-finetuned-raw
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transformers
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-raw
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: 0.5389
Accuracy: 0.8433
F1: 0.8419
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
1.2705
1.0
1699
0.7376
0.7816
0.7763
0.6359
2.0
3398
0.5830
0.8251
0.8238
0.482
3.0
5097
0.5476
0.8388
0.8366
0.3873
4.0
6796
0.5389
0.8433
0.8419
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
