metadata
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
model-index:
- name: da_distilbert
results: []
da_distilbert
This model is a fine-tuned version of distilbert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5870
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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 130 | 1.9587 |
| No log | 2.0 | 260 | 1.7889 |
| No log | 3.0 | 390 | 1.7015 |
| 1.9762 | 4.0 | 520 | 1.6974 |
| 1.9762 | 5.0 | 650 | 1.6412 |
| 1.9762 | 6.0 | 780 | 1.6209 |
| 1.9762 | 7.0 | 910 | 1.6294 |
| 1.6723 | 8.0 | 1040 | 1.5870 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1