metadata
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-lolchamps
results: []
distilbert-lolchamps
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: 1.6389
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7704 | 1.0 | 81 | 2.3357 |
| 2.3018 | 2.0 | 162 | 2.1004 |
| 2.1364 | 3.0 | 243 | 1.9746 |
| 2.0045 | 4.0 | 324 | 1.8978 |
| 1.9227 | 5.0 | 405 | 1.8303 |
| 1.8589 | 6.0 | 486 | 1.7865 |
| 1.8129 | 7.0 | 567 | 1.7097 |
| 1.7781 | 8.0 | 648 | 1.7250 |
| 1.754 | 9.0 | 729 | 1.6804 |
| 1.7308 | 10.0 | 810 | 1.6659 |
| 1.7039 | 11.0 | 891 | 1.6875 |
| 1.6905 | 12.0 | 972 | 1.6248 |
| 1.6819 | 13.0 | 1053 | 1.6169 |
| 1.6828 | 14.0 | 1134 | 1.6596 |
| 1.6722 | 15.0 | 1215 | 1.6389 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2