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donut_employee_info_v1 – Dataset by accavdar | AlphaNeural AI
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donut_employee_info_v1
This model is a fine-tuned version of
naver-clova-ix/donut-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1224
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: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
1.1485
1.25
50
0.6847
0.4124
2.5
100
0.2854
0.2662
3.75
150
0.1829
0.1875
5.0
200
0.1485
0.152
6.25
250
0.1326
0.1194
7.5
300
0.1360
0.1045
8.75
350
0.1255
0.0684
10.0
400
0.1224
Framework versions
Transformers 4.35.0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1
