metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: my_awesome_wnut_model3
results: []
my_awesome_wnut_model3
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0064
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0282 | 1.0 | 2470 | 0.0120 |
| 0.0089 | 2.0 | 4940 | 0.0101 |
| 0.0042 | 3.0 | 7410 | 0.0092 |
| 0.0024 | 4.0 | 9880 | 0.0078 |
| 0.0013 | 5.0 | 12350 | 0.0079 |
| 0.0011 | 6.0 | 14820 | 0.0067 |
| 0.0009 | 7.0 | 17290 | 0.0066 |
| 0.0006 | 8.0 | 19760 | 0.0064 |
| 0.0004 | 9.0 | 22230 | 0.0061 |
| 0.0003 | 10.0 | 24700 | 0.0064 |
Framework versions
- Transformers 4.33.2
- Pytorch 1.13.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3