| --- |
| license: apache-2.0 |
| base_model: google/mobilebert-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: mobilebert_run1 |
| 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. --> |
|
|
| # mobilebert_run1 |
| |
| This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 7541494.5 |
| - Accuracy: 0.0 |
| |
| ## 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: 2e-06 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 16 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 5 | 11089919.0 | 0.0 | |
| | No log | 2.0 | 10 | 10502712.0 | 0.0 | |
| | No log | 3.0 | 15 | 10016729.0 | 0.0 | |
| | No log | 4.0 | 20 | 9591635.0 | 0.0 | |
| | No log | 5.0 | 25 | 9214009.0 | 0.0 | |
| | No log | 6.0 | 30 | 8899205.0 | 0.0 | |
| | No log | 7.0 | 35 | 8633617.0 | 0.0 | |
| | No log | 8.0 | 40 | 8408112.0 | 0.0 | |
| | No log | 9.0 | 45 | 8206867.0 | 0.0 | |
| | No log | 10.0 | 50 | 8033762.5 | 0.0 | |
| | No log | 11.0 | 55 | 7887077.0 | 0.0 | |
| | No log | 12.0 | 60 | 7766791.0 | 0.0 | |
| | No log | 13.0 | 65 | 7670611.0 | 0.0 | |
| | No log | 14.0 | 70 | 7600864.0 | 0.0 | |
| | No log | 15.0 | 75 | 7557492.0 | 0.0 | |
| | No log | 16.0 | 80 | 7541494.5 | 0.0 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.37.2 |
| - Pytorch 2.2.0+cu118 |
| - Datasets 2.17.1 |
| - Tokenizers 0.15.2 |
| |
