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distilbert-base-uncased_emotion_ft – AI Model by Dance2074 | AlphaNeural AI
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Dance2074
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distilbert-base-uncased_emotion_ft
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
autotrain_compatible
endpoints_compatible
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distilbert-base-uncased_emotion_ft
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: 0.1985
Accuracy: 0.932
F1: 0.9320
Precision: 0.9059
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
No log
1.0
250
0.2935
0.9115
0.9105
0.8878
No log
2.0
500
0.1985
0.932
0.9320
0.9059
Framework versions
Transformers 4.49.0
Pytorch 2.0.0+cu118
Datasets 3.4.0
Tokenizers 0.21.0
