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: 1.5996
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 |
|---|---|---|---|
| 2.7248 | 1.0 | 76 | 2.3018 |
| 2.2574 | 2.0 | 152 | 2.0571 |
| 2.0952 | 3.0 | 228 | 1.9373 |
| 1.9549 | 4.0 | 304 | 1.8384 |
| 1.8657 | 5.0 | 380 | 1.7585 |
| 1.8215 | 6.0 | 456 | 1.7498 |
| 1.7717 | 7.0 | 532 | 1.7060 |
| 1.7256 | 8.0 | 608 | 1.6828 |
| 1.6847 | 9.0 | 684 | 1.6005 |
| 1.6762 | 10.0 | 760 | 1.6352 |
| 1.6485 | 11.0 | 836 | 1.6055 |
| 1.6466 | 12.0 | 912 | 1.5956 |
| 1.6252 | 13.0 | 988 | 1.5756 |
| 1.6183 | 14.0 | 1064 | 1.5420 |
| 1.6347 | 15.0 | 1140 | 1.5996 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2