metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-CLM-DSM-NoOerlap
results: []
distilgpt2-CLM-DSM-NoOerlap
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4500
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 | 84 | 2.6146 |
| No log | 2.0 | 168 | 2.5488 |
| No log | 3.0 | 252 | 2.5136 |
| No log | 4.0 | 336 | 2.4924 |
| No log | 5.0 | 420 | 2.4777 |
| 2.6089 | 6.0 | 504 | 2.4665 |
| 2.6089 | 7.0 | 588 | 2.4599 |
| 2.6089 | 8.0 | 672 | 2.4540 |
| 2.6089 | 9.0 | 756 | 2.4509 |
| 2.6089 | 10.0 | 840 | 2.4500 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.1
- Datasets 2.19.2
- Tokenizers 0.19.1