metadata
license: apache-2.0
base_model: bhadresh-savani/distilbert-base-uncased-emotion
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: emotion
results: []
emotion
This model is a fine-tuned version of bhadresh-savani/distilbert-base-uncased-emotion on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3358
- Accuracy: 0.4667
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: 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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
2.2664 | 1.0 | 15 | 1.4388 | 0.4 |
1.4542 | 2.0 | 30 | 1.3942 | 0.4 |
1.2951 | 3.0 | 45 | 1.3433 | 0.4 |
1.1394 | 4.0 | 60 | 1.3303 | 0.4667 |
1.0582 | 5.0 | 75 | 1.3358 | 0.4667 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.0
- Tokenizers 0.13.3