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layoutlmv3-finetuned_1.1 – AI Model by hmart824 | AlphaNeural AI
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hmart824
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layoutlmv3-finetuned_1.1
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transformers
safetensors
layoutlmv3
token-classification
generated_from_trainer
microsoft/layoutlmv3-base
finetune
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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layoutlmv3-finetuned_1.1
This model is a fine-tuned version of
microsoft/layoutlmv3-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0191
Precision: 0.9972
Recall: 0.9966
F1: 0.9968
Accuracy: 0.9960
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.3713
1.0
60
0.0460
0.9874
0.9914
0.9893
0.9901
0.068
2.0
120
0.0281
0.9947
0.9930
0.9938
0.9930
0.0612
3.0
180
0.0191
0.9972
0.9966
0.9968
0.9960
Framework versions
Transformers 4.42.4
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
