distilbert-emotion-mini-amazon

This model is a fine-tuned version of distilbert-base-uncased on mini_amazon_sentimental a labeled dataset from Amazon polarity dataset. It achieves the following results on the evaluation set:

• Loss: 0.2505
• Accuracy: 0.9232

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• 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
0.238	1.0	20000	0.2370	0.9065
0.1285	2.0	40000	0.2505	0.9232

Framework versions

• Transformers 4.37.2
• Pytorch 2.2.1+cu118
• Datasets 2.17.0
• Tokenizers 0.15.2