| --- |
| license: apache-2.0 |
| base_model: google/mobilebert-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: mobilebert_trajectory_proof0 |
| 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_trajectory_proof0 |
|
|
| 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: 16478.7676 |
| - Accuracy: 0.7 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-06 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - 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 | 13 | 3802792.75 | 0.7 | |
| | No log | 2.0 | 26 | 3156379.5 | 0.7 | |
| | No log | 3.0 | 39 | 2625222.75 | 0.7 | |
| | No log | 4.0 | 52 | 2124862.75 | 0.7 | |
| | No log | 5.0 | 65 | 1716339.0 | 0.7 | |
| | No log | 6.0 | 78 | 1375630.5 | 0.7 | |
| | No log | 7.0 | 91 | 1055760.0 | 0.7 | |
| | No log | 8.0 | 104 | 741251.0 | 0.7 | |
| | No log | 9.0 | 117 | 451555.9375 | 0.7 | |
| | No log | 10.0 | 130 | 227678.9219 | 0.7 | |
| | No log | 11.0 | 143 | 82893.1172 | 0.7 | |
| | No log | 12.0 | 156 | 48836.0117 | 0.7 | |
| | No log | 13.0 | 169 | 33417.5430 | 0.7 | |
| | No log | 14.0 | 182 | 21012.9023 | 0.7 | |
| | No log | 15.0 | 195 | 17473.7871 | 0.7 | |
| | No log | 16.0 | 208 | 16478.7676 | 0.7 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.37.2 |
| - Pytorch 2.2.0+cu118 |
| - Datasets 2.17.1 |
| - Tokenizers 0.15.2 |
|
|
