| | --- |
| | license: apache-2.0 |
| | base_model: mnaylor/mega-base-wikitext |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - precision |
| | - recall |
| | - f1 |
| | model-index: |
| | - name: mega-base-multiple-choice-fp16-v2 |
| | 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. --> |
| |
|
| | # mega-base-multiple-choice-fp16-v2 |
| |
|
| | This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6932 |
| | - Accuracy: 0.5010 |
| | - Precision: 0.5010 |
| | - Recall: 0.4964 |
| | - F1: 0.4987 |
| |
|
| | ## 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: 0.005 |
| | - train_batch_size: 1024 |
| | - eval_batch_size: 1024 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 24000 |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | | No log | 1.0 | 34 | 0.6931 | 0.5021 | 0.5021 | 0.5076 | 0.5048 | |
| | | No log | 2.0 | 68 | 0.6932 | 0.5050 | 0.5049 | 0.5102 | 0.5076 | |
| | | No log | 3.0 | 102 | 0.6932 | 0.5010 | 0.5010 | 0.4964 | 0.4987 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.0 |
| | |
