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results-roberta-full-bs8 – AI Model by DylanFarkas | AlphaNeural AI
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results-roberta-full-bs8
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transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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results-roberta-full-bs8
This model is a fine-tuned version of
xlm-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0314
Precision: 0.9572
Recall: 0.9674
F1: 0.9623
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
No log
1.0
389
0.0661
0.8973
0.9394
0.9179
0.2413
2.0
778
0.0293
0.9469
0.9531
0.9500
0.049
3.0
1167
0.0212
0.9689
0.9726
0.9707
Framework versions
Transformers 4.53.2
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.2
