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ellis-v3-emotion-leadership-multi-label – AI Model by gsl22 | AlphaNeural AI
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gsl22
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ellis-v3-emotion-leadership-multi-label
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transformers
tensorboard
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-small
finetune
mit
autotrain_compatible
endpoints_compatible
us
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ellis-v3-emotion-leadership-multi-label
This model is a fine-tuned version of
microsoft/deberta-v3-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1095
Accuracy: 0.9728
F1: 0.9318
Precision: 0.9346
Recall: 0.9289
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: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.1396
1.0
5910
0.1235
0.9669
0.9169
0.9211
0.9127
0.1025
2.0
11820
0.1095
0.9728
0.9318
0.9346
0.9289
Framework versions
Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
