| | --- |
| | license: mit |
| | base_model: gpt2-xl |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: custom |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # custom |
| |
|
| | This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.3280 |
| |
|
| | ## 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: 0.001 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 48 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 64 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.05 |
| | - num_epochs: 3.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.5844 | 0.68 | 200 | 1.4102 | |
| | | 1.4081 | 1.37 | 400 | 1.3670 | |
| | | 1.3422 | 2.05 | 600 | 1.3424 | |
| | | 1.2711 | 2.73 | 800 | 1.3310 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.32.1 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| |
|
