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finetuned-v-1 – AI Model by Abinaya | AlphaNeural AI
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finetuned-v-1
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transformers
safetensors
lilt
token-classification
generated_from_trainer
token-classification
model-index
autotrain_compatible
endpoints_compatible
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finetuned-v-1
This model is a fine-tuned version of
lilt-xlm-roberta-base
on the funsd dataset. It achieves the following results on the evaluation set:
Loss: 1.1752
Precision: 0.5978
Recall: 0.5978
F1: 0.5978
Accuracy: 0.5978
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
1.3986
0.5319
100
1.1752
0.5978
0.5978
0.5978
0.5978
Framework versions
Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1
