metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-cased-finetuned-feelings-text-classifier-eng
results: []
distilbert-base-cased-finetuned-feelings-text-classifier-eng
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: 0.3930
- Accuracy: 0.9186
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3309 | 1.0 | 564 | 0.2348 | 0.9193 |
| 0.193 | 2.0 | 1128 | 0.2359 | 0.9226 |
| 0.1566 | 3.0 | 1692 | 0.2517 | 0.9241 |
| 0.1275 | 4.0 | 2256 | 0.2629 | 0.9256 |
| 0.1021 | 5.0 | 2820 | 0.3023 | 0.9219 |
| 0.0834 | 6.0 | 3384 | 0.3145 | 0.9193 |
| 0.0679 | 7.0 | 3948 | 0.3338 | 0.9219 |
| 0.0543 | 8.0 | 4512 | 0.3695 | 0.9194 |
| 0.0475 | 9.0 | 5076 | 0.3795 | 0.9198 |
| 0.0389 | 10.0 | 5640 | 0.3930 | 0.9186 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2