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deberta-v3-large_spell_10k_1_p3 – AI Model by stuartmesham | AlphaNeural AI
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stuartmesham
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deberta-v3-large_spell_10k_1_p3
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transformers
pytorch
deberta-v2
token-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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deberta-v3-large_spell_10k_1_p3
This model is a fine-tuned version of
model_saves/deberta-v3-large_spell_10k_1_p2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4189
Accuracy: 0.9424
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: 1e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 15.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
268
0.4189
0.9424
No log
2.0
536
0.4353
0.9423
No log
3.0
804
0.4562
0.9416
0.2882
4.0
1072
0.4863
0.9408
Framework versions
Transformers 4.21.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1
