| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - f1 | |
| - accuracy | |
| - precision | |
| - recall | |
| base_model: distilbert-base-uncased-finetuned-sst-2-english | |
| model-index: | |
| - name: soft-search | |
| 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. --> | |
| # soft-search | |
| This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.5558 | |
| - F1: 0.5960 | |
| - Accuracy: 0.7109 | |
| - Precision: 0.5769 | |
| - Recall: 0.6164 | |
| ## 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: 3e-05 | |
| - train_batch_size: 12 | |
| - eval_batch_size: 12 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:| | |
| | 0.5939 | 1.0 | 71 | 0.5989 | 0.0533 | 0.6635 | 1.0 | 0.0274 | | |
| | 0.5903 | 2.0 | 142 | 0.5558 | 0.5960 | 0.7109 | 0.5769 | 0.6164 | | |
| | 0.4613 | 3.0 | 213 | 0.6670 | 0.5641 | 0.6777 | 0.5301 | 0.6027 | | |
| | 0.4454 | 4.0 | 284 | 0.7647 | 0.5541 | 0.6872 | 0.5467 | 0.5616 | | |
| | 0.2931 | 5.0 | 355 | 0.8726 | 0.5139 | 0.6682 | 0.5211 | 0.5068 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.1+cu117 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 | |