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opus-em-deberta-3-large-v2 – AI Model by keremp | AlphaNeural AI
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opus-em-deberta-3-large-v2
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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opus-em-deberta-3-large-v2
This model is a fine-tuned version of
microsoft/deberta-v3-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 253.1309
F1: 0.0
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: 8e-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 32
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
F1
429.225
1.0
28
329.4008
0.0
312.0525
2.0
56
266.1687
0.0
280.638
3.0
84
253.1309
0.0
Framework versions
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.15.0
Tokenizers 0.15.0
