emotion-guesser2

This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on the emotion dataset. It achieves the following results on the evaluation set:

• Loss: 1.2428

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	125	1.5836
No log	2.0	250	1.3238
No log	3.0	375	1.2428

Framework versions

• Transformers 4.38.2
• Pytorch 2.4.0.dev20240317
• Datasets 2.18.0
• Tokenizers 0.15.2