| base_model: allenai/scibert_scivocab_uncased | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - precision | |
| - recall | |
| - f1 | |
| model-index: | |
| - name: test_TwoWayLoss_25K_bs64_P4_N1 | |
| 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. --> | |
| # test_TwoWayLoss_25K_bs64_P4_N1 | |
| This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 8.8668 | |
| - Accuracy: 0.5430 | |
| - Precision: 0.0114 | |
| - Recall: 0.5359 | |
| - F1: 0.0224 | |
| - Hamming: 0.4570 | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - training_steps: 10 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Hamming | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:| | |
| | 8.9097 | 0.0 | 5 | 8.8974 | 0.5287 | 0.0107 | 0.5189 | 0.0210 | 0.4713 | | |
| | 8.1387 | 0.0 | 10 | 8.8668 | 0.5430 | 0.0114 | 0.5359 | 0.0224 | 0.4570 | | |
| ### Framework versions | |
| - Transformers 4.35.0.dev0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.14.1 | |