metadata
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilebert_1000exs_20timesteps_run
results: []
mobilebert_1000exs_20timesteps_run
This model is a fine-tuned version of google/mobilebert-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8330
- Accuracy: 0.51
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: 64
- eval_batch_size: 64
- 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 | 16 | 3052559.25 | 0.51 |
| No log | 2.0 | 32 | 2330149.0 | 0.51 |
| No log | 3.0 | 48 | 1716418.75 | 0.51 |
| No log | 4.0 | 64 | 1113477.0 | 0.51 |
| No log | 5.0 | 80 | 524712.25 | 0.51 |
| No log | 6.0 | 96 | 36429.3633 | 0.51 |
| No log | 7.0 | 112 | 5025.1558 | 0.51 |
| No log | 8.0 | 128 | 2793.7087 | 0.51 |
| No log | 9.0 | 144 | 173.9886 | 0.51 |
| No log | 10.0 | 160 | 1.6353 | 0.49 |
| No log | 11.0 | 176 | 1.2341 | 0.49 |
| No log | 12.0 | 192 | 0.9290 | 0.49 |
| No log | 13.0 | 208 | 0.7376 | 0.49 |
| No log | 14.0 | 224 | 0.7311 | 0.51 |
| No log | 15.0 | 240 | 0.8214 | 0.51 |
| No log | 16.0 | 256 | 0.8330 | 0.51 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2