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polystring-lid – AI Model by saadlohani | AlphaNeural AI
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polystring-lid
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transformers
onnx
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
quantized
mit
endpoints_compatible
us
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polystring-lid
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: 0.1267
F1: 0.8848
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: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.3134
1.0
18838
0.2941
0.8119
0.1935
2.0
37676
0.1807
0.8551
0.1357
3.0
56514
0.1267
0.8848
Framework versions
Transformers 4.57.6
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
