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---
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
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 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2
|