metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: my_trans
results: []
my_trans
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6935
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6991 | 1.0 | 13178 | 0.6953 |
| 0.6981 | 2.0 | 26356 | 0.6932 |
| 0.6947 | 3.0 | 39534 | 0.6935 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.12.1
- Datasets 2.10.0
- Tokenizers 0.13.2