| | --- |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - openwebtext |
| | model-index: |
| | - name: pretraining_test |
| | 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. --> |
| |
|
| | # pretraining_test |
| | |
| | This model is a fine-tuned version of [](https://huggingface.co/) on the openwebtext dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 10.3700 |
| | |
| | ## 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: 1e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 16 |
| | - seed: 0 |
| | - distributed_type: multi-GPU |
| | - num_devices: 2 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 32 |
| | - total_eval_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - training_steps: 100 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 10.368 | 25.0 | 50 | 10.3705 | |
| | | 10.3672 | 50.0 | 100 | 10.3700 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.1+cu121 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| | |
