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layoutlmv3-test-2 – AI Model by mathieu1256 | AlphaNeural AI | AlphaNeural AI
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layoutlmv3-test-2
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transformers
safetensors
layoutlmv3
token-classification
generated_from_trainer
cord
microsoft/layoutlmv3-base
finetune
cc-by-nc-sa-4.0
autotrain_compatible
endpoints_compatible
us
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layoutlmv3-test-2
This model is a fine-tuned version of
microsoft/layoutlmv3-base
on the cord dataset. It achieves the following results on the evaluation set:
Loss: 0.6335
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: 5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2000
Training results
Training Loss
Epoch
Step
Validation Loss
0.0437
0.47
500
0.5549
0.0006
0.93
1000
0.6001
0.0005
1.4
1500
0.6243
0.0003
1.86
2000
0.6335
Framework versions
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.17.0
Tokenizers 0.15.2