metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-jul4
results: []
distilbert-base-jul4
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4076
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.5366 | 1.0 | 2161 | 0.3331 |
| 0.233 | 2.0 | 4322 | 0.2973 |
| 0.2538 | 3.0 | 6483 | 0.3052 |
| 0.1026 | 4.0 | 8644 | 0.3407 |
| 0.3053 | 5.0 | 10805 | 0.3259 |
| 0.1347 | 6.0 | 12966 | 0.3799 |
| 0.1464 | 7.0 | 15127 | 0.3561 |
| 0.0001 | 8.0 | 17288 | 0.3638 |
| 0.0002 | 9.0 | 19449 | 0.3972 |
| 0.0 | 10.0 | 21610 | 0.4076 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1