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xtremedistil-l6-h256-uncased-go-emotion – AI Model by jonaskoenig | AlphaNeural AI
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jonaskoenig
/
xtremedistil-l6-h256-uncased-go-emotion
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0
transformers
tf
bert
text-classification
generated_from_keras_callback
go_emotions
emotion
microsoft/xtremedistil-l6-h256-uncased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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jonaskoenig/xtremedistil-l6-h256-uncased-go-emotion
This model is a fine-tuned version of
microsoft/xtremedistil-l6-h256-uncased
on
go_emotions
and
emotion
. It achieves the following results on the evaluation set:
Train Loss: 0.0282
Train Binary Crossentropy: 0.4836
Epoch: 8
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:
optimizer: {'name': 'Adam', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Binary Crossentropy
Epoch
0.0487
0.6401
0
0.0348
0.5925
1
0.0319
0.5393
2
0.0306
0.5168
3
0.0298
0.5045
4
0.0292
0.4970
5
0.0288
0.4916
6
0.0284
0.4878
7
0.0282
0.4836
8
Framework versions
Transformers 4.20.1
TensorFlow 2.9.1
Datasets 2.3.2
Tokenizers 0.12.1
