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distilbert-base-uncased-finetuned-emotion – AI Model by cocowang06 | AlphaNeural AI
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cocowang06
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distilbert-base-uncased-finetuned-emotion
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pytorch
tensorboard
distilbert
generated_from_trainer
apache-2.0
us
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distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1509
Accuracy: 0.9415
F1: 0.9414
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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
125
0.1644
0.9275
0.9275
No log
2.0
250
0.1378
0.9405
0.9401
No log
3.0
375
0.1438
0.936
0.9357
No log
4.0
500
0.1546
0.937
0.9365
No log
5.0
625
0.1509
0.9415
0.9414
Framework versions
Transformers 4.16.2
Pytorch 2.4.1+cu124
Datasets 3.0.1
Tokenizers 0.20.3
