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distilbert-base-uncased-finetuned-emotions – AI Model by PolLM | AlphaNeural AI
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distilbert-base-uncased-finetuned-emotions
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safetensors
distilbert
generated_from_trainer
emotion
distilbert/distilbert-base-uncased
finetune
apache-2.0
model-index
us
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distilbert-base-uncased-finetuned-emotions
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: 0.2143
Accuracy: 0.926
F1: 0.9260
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: 65
eval_batch_size: 65
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
0.843
1.0
247
0.3081
0.9075
0.9074
0.2462
2.0
494
0.2143
0.926
0.9260
Framework versions
Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
