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deberta-v3-large-orgs-v2 – AI Model by nbroad | AlphaNeural AI
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deberta-v3-large-orgs-v2
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transformers
safetensors
deberta-v2
token-classification
generated_from_trainer
microsoft/deberta-v3-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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deberta-v3-large-orgs-v2
This model is a fine-tuned version of
microsoft/deberta-v3-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1301
Precision: 0.8062
Recall: 0.7623
F1: 0.7837
Accuracy: 0.9623
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.0582
1.0
1710
0.1035
0.7892
0.7879
0.7886
0.9635
0.0475
2.0
3420
0.1239
0.8058
0.7495
0.7766
0.9609
0.0288
3.0
5130
0.1301
0.8062
0.7623
0.7837
0.9623
Framework versions
Transformers 4.35.2
Pytorch 2.1.0a0+32f93b1
Datasets 2.15.0
Tokenizers 0.15.0
