| | --- |
| | license: mit |
| | base_model: gpt2 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: mlm_new |
| | 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. --> |
| |
|
| | # mlm_new |
| | |
| | This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 4.0711 |
| | |
| | ## 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: 3e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 64 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 20 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Perplexity | |
| | |:-------------:|:-----:|:----:|:---------------:|:----------:| |
| | | 12.948 | 0.99 | 22 | 5.1466 | 171.85 | |
| | | 4.061 | 1.98 | 44 | 4.3114 | 74.54 | |
| | | 3.7125 | 2.97 | 66 | 4.0807 | 59.19 | |
| | | 3.6033 | 3.96 | 88 | 4.0553 | 57.70 | |
| | | 3.5032 | 4.94 | 110 | 4.0514 | 57.48 | |
| | | 3.4427 | 5.93 | 132 | 4.0879 | 59.61 | |
| | | 3.3968 | 6.92 | 154 | 4.0711 | 58.62 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.2 |
| | - Tokenizers 0.13.3 |
| |
|
