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distilbert-base-uncased-fintuned-emotion – AI Model by dizb-dizb | AlphaNeural AI
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distilbert-base-uncased-fintuned-emotion
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distilbert
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distilbert/distilbert-base-uncased
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distilbert-base-uncased-fintuned-emotion
This model is a fine-tuned version of
distilbert-base-uncased
on the arrow dataset. It achieves the following results on the evaluation set:
Loss: 1.2588
Accuracy: 0.5696
F1: 0.4467
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: 64
eval_batch_size: 64
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
1.5856
1.0
32
1.4122
0.5468
0.4231
1.2894
2.0
64
1.2588
0.5696
0.4467
Framework versions
Transformers 4.41.2
Pytorch 2.1.2+cpu
Datasets 3.1.0
Tokenizers 0.19.1
