metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert_text_classifier
results: []
distilbert_text_classifier
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: 0.0004
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9411 | 1.0 | 64 | 0.8375 |
| 0.1729 | 2.0 | 128 | 0.0840 |
| 0.0133 | 3.0 | 192 | 0.0375 |
| 0.0155 | 4.0 | 256 | 0.0099 |
| 0.0037 | 5.0 | 320 | 0.0037 |
| 0.0015 | 6.0 | 384 | 0.0023 |
| 0.001 | 7.0 | 448 | 0.0016 |
| 0.0007 | 8.0 | 512 | 0.0014 |
| 0.0005 | 9.0 | 576 | 0.0014 |
| 0.0005 | 10.0 | 640 | 0.0004 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Tokenizers 0.15.0