metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_model
results: []
my_awesome_model
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: 1.2016
- Accuracy: 0.696
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: 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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 282 | 1.0341 | 0.662 |
| 0.7677 | 2.0 | 564 | 0.9847 | 0.708 |
| 0.7677 | 3.0 | 846 | 1.0358 | 0.704 |
| 0.4871 | 4.0 | 1128 | 1.0860 | 0.71 |
| 0.4871 | 5.0 | 1410 | 1.1274 | 0.702 |
| 0.3233 | 6.0 | 1692 | 1.1594 | 0.702 |
| 0.3233 | 7.0 | 1974 | 1.2016 | 0.696 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2