| license: mit | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: roberta-base-finetuned-schizophreniaReddit2 | |
| 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. --> | |
| # roberta-base-finetuned-schizophreniaReddit2 | |
| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.7785 | |
| ## 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 | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | No log | 1.0 | 490 | 1.8093 | | |
| | 1.9343 | 2.0 | 980 | 1.7996 | | |
| | 1.8856 | 3.0 | 1470 | 1.7966 | | |
| | 1.8552 | 4.0 | 1960 | 1.7844 | | |
| | 1.8267 | 5.0 | 2450 | 1.7839 | | |
| ### Framework versions | |
| - Transformers 4.14.1 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 1.16.1 | |
| - Tokenizers 0.10.3 | |