Hemg/EMOTION-AI

🤗 Hugging Face sourcetext-classificationapache-2.067M params268 MBsafetensors✓ 2 checksumsupdated today

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EMOTION-AI

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4780
Accuracy: 0.5616

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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
No log	0.9982	271	1.5711	0.5464
1.5442	2.0	543	1.4952	0.5638
1.5442	2.9982	814	1.4755	0.5657
1.3192	3.9926	1084	1.4780	0.5616

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1