| license: apache-2.0 | |
| base_model: albert-base-v2 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: output | |
| 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. --> | |
| # output | |
| This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0000 | |
| - Overall Precision: 1.0 | |
| - Overall Recall: 1.0 | |
| - Overall F1: 1.0 | |
| - Overall Accuracy: 1.0 | |
| - D622 F1: 1.0 | |
| - O Isin F1: 1.0 | |
| ## 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-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 | |
| - lr_scheduler_warmup_steps: 10 | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | D622 F1 | O Isin F1 | | |
| |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:-------:|:---------:| | |
| | 0.0 | 1.0 | 461 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | | |
| ### Framework versions | |
| - Transformers 4.43.3 | |
| - Pytorch 2.4.0 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |