metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: distily_bench_gpt2_linear_objectives
results: []
distily_bench_gpt2_linear_objectives
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8689.6641
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: 4e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0 | 0 | 338272.25 |
| 14496.0 | 0.0808 | 500 | 11190.9121 |
| 12080.0 | 0.1616 | 1000 | 10443.1357 |
| 15856.0 | 0.2424 | 1500 | 10039.6162 |
| 12192.0 | 0.3232 | 2000 | 9736.1924 |
| 12784.0 | 0.4040 | 2500 | 9512.1279 |
| 13216.0 | 0.4848 | 3000 | 9331.4561 |
| 10856.0 | 0.5657 | 3500 | 9238.5283 |
| 12256.0 | 0.6465 | 4000 | 9076.0957 |
| 9856.0 | 0.7273 | 4500 | 8944.4482 |
| 12512.0 | 0.8081 | 5000 | 8849.7275 |
| 10224.0 | 0.8889 | 5500 | 8798.5918 |
| 10688.0 | 0.9697 | 6000 | 8741.2480 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.19.1