metadata
library_name: transformers
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-wellness
results: []
distilgpt2-finetuned-wellness
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6526
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0101 | 1.0 | 158 | 2.1220 |
| 2.0886 | 2.0 | 316 | 1.9541 |
| 1.9941 | 3.0 | 474 | 1.8785 |
| 1.8701 | 4.0 | 632 | 1.8243 |
| 1.8238 | 5.0 | 790 | 1.7894 |
| 1.743 | 6.0 | 948 | 1.7593 |
| 1.699 | 7.0 | 1106 | 1.7376 |
| 1.6606 | 8.0 | 1264 | 1.7188 |
| 1.6345 | 9.0 | 1422 | 1.7027 |
| 1.6208 | 10.0 | 1580 | 1.6914 |
| 1.5896 | 11.0 | 1738 | 1.6830 |
| 1.5694 | 12.0 | 1896 | 1.6722 |
| 1.5468 | 13.0 | 2054 | 1.6671 |
| 1.5311 | 14.0 | 2212 | 1.6663 |
| 1.5172 | 15.0 | 2370 | 1.6602 |
| 1.51 | 16.0 | 2528 | 1.6544 |
| 1.4916 | 17.0 | 2686 | 1.6555 |
| 1.4782 | 18.0 | 2844 | 1.6529 |
| 1.4829 | 19.0 | 3002 | 1.6532 |
| 1.4639 | 20.0 | 3160 | 1.6526 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.0