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lilt_attempt1_4_4e5 – AI Model by ikiransuryavanshi | AlphaNeural AI
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lilt_attempt1_4_4e5
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transformers
tensorboard
safetensors
lilt
token-classification
generated_from_trainer
SCUT-DLVCLab/lilt-roberta-en-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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lilt_attempt1_4_4e5
This model is a fine-tuned version of
SCUT-DLVCLab/lilt-roberta-en-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0470
Precision: 0.8438
Recall: 0.675
F1: 0.75
Accuracy: 0.9958
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: 4e-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: 50
Training results
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
