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xlm-roberta-large-ojk-channel – AI Model by guess-winnow | AlphaNeural AI
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xlm-roberta-large-ojk-channel
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-large
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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xlm-roberta-large-ojk-channel
This model is a fine-tuned version of
FacebookAI/xlm-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4707
Accuracy: 0.9938
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
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.634
1.0
80
0.4707
0.9938
0.5593
2.0
160
0.3474
0.9938
0.3272
3.0
240
0.3866
0.9938
0.3424
4.0
320
0.2980
0.9938
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
