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distiled_flip_model_emotion_alpha_0.8_epoch5_v1 – AI Model by ArafatBHossain | AlphaNeural AI
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distiled_flip_model_emotion_alpha_0.8_epoch5_v1
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
emotion
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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distiled_flip_model_emotion_alpha_0.8_epoch5_v1
This model is a fine-tuned version of
ArafatBHossain/distill_bert_fine_tuned_emotion_dataset
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.1476
Accuracy: 0.942
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1966
1.0
2000
0.2675
0.9315
0.154
2.0
4000
0.2265
0.9355
0.1214
3.0
6000
0.1805
0.9375
0.078
4.0
8000
0.1401
0.9385
0.0652
5.0
10000
0.1476
0.942
Framework versions
Transformers 4.23.1
Pytorch 1.11.0
Datasets 2.6.1
Tokenizers 0.12.1
