| | --- |
| | license: apache-2.0 |
| | base_model: albert/albert-base-v2 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: lenate_model_12_albert-base-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. --> |
| |
|
| | # lenate_model_12_albert-base-v2 |
| | |
| | This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5494 |
| | - Accuracy: 0.7622 |
| | |
| | ## 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-05 |
| | - 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: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 355 | 0.6467 | 0.7212 | |
| | | 0.7746 | 2.0 | 710 | 0.5847 | 0.7241 | |
| | | 0.5448 | 3.0 | 1065 | 0.5494 | 0.7622 | |
| | | 0.5448 | 4.0 | 1420 | 0.6416 | 0.7368 | |
| | | 0.3705 | 5.0 | 1775 | 0.6439 | 0.7735 | |
| | | 0.2112 | 6.0 | 2130 | 0.8791 | 0.7643 | |
| | | 0.2112 | 7.0 | 2485 | 1.1350 | 0.7657 | |
| | | 0.1012 | 8.0 | 2840 | 1.3247 | 0.7721 | |
| | | 0.0294 | 9.0 | 3195 | 1.4469 | 0.7699 | |
| | | 0.0112 | 10.0 | 3550 | 1.4783 | 0.7699 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.38.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.15.2 |
| | |
