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Finetuned-sentiment-model – AI Model by KoontzP | AlphaNeural AI
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Finetuned-sentiment-model
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
emotion
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Finetuned-sentiment-model
This model is a fine-tuned version of
distilbert-base-uncased
on the emotion dataset. It achieves the following results on the evaluation set:
Loss: 0.1792
Accuracy: 0.9315
F1: 0.9316
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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
125
0.5311
0.831
0.8081
No log
2.0
250
0.2390
0.9215
0.9214
No log
3.0
375
0.1895
0.932
0.9319
0.4559
4.0
500
0.1792
0.9315
0.9316
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2
