| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - spearmanr | |
| model-index: | |
| - name: M4_MLM_cross | |
| 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. --> | |
| # M4_MLM_cross | |
| This model is a fine-tuned version of [S2312dal/M4_MLM](https://huggingface.co/S2312dal/M4_MLM) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0222 | |
| - Pearson: 0.9472 | |
| - Spearmanr: 0.8983 | |
| ## 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: 25 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 8.0 | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:| | |
| | 0.0353 | 1.0 | 131 | 0.0590 | 0.8326 | 0.8225 | | |
| | 0.0478 | 2.0 | 262 | 0.0368 | 0.9234 | 0.8894 | | |
| | 0.0256 | 3.0 | 393 | 0.0222 | 0.9472 | 0.8983 | | |
| ### Framework versions | |
| - Transformers 4.20.0 | |
| - Pytorch 1.11.0+cu113 | |
| - Datasets 2.3.2 | |
| - Tokenizers 0.12.1 | |