metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-CLM-DSM
results: []
distilgpt2-CLM-DSM
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4049
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 91 | 2.6265 |
| No log | 2.0 | 182 | 2.5381 |
| No log | 3.0 | 273 | 2.4948 |
| No log | 4.0 | 364 | 2.4634 |
| No log | 5.0 | 455 | 2.4436 |
| 2.6065 | 6.0 | 546 | 2.4276 |
| 2.6065 | 7.0 | 637 | 2.4176 |
| 2.6065 | 8.0 | 728 | 2.4103 |
| 2.6065 | 9.0 | 819 | 2.4061 |
| 2.6065 | 10.0 | 910 | 2.4049 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.1
- Datasets 2.19.2
- Tokenizers 0.19.1