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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - depression-reddit-cleaned
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: depression-reddit-distilroberta-base
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: depression-reddit-cleaned
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+ type: depression-reddit-cleaned
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+ config: default
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+ split: train
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+ args: default
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9831932773109243
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # depression-reddit-distilroberta-base
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+
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+ This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the depression-reddit-cleaned dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0948
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+ - Accuracy: 0.9832
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.1807 | 0.65 | 500 | 0.1087 | 0.9683 |
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+ | 0.1227 | 1.29 | 1000 | 0.1002 | 0.9793 |
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+ | 0.0663 | 1.94 | 1500 | 0.1097 | 0.9806 |
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+ | 0.031 | 2.59 | 2000 | 0.0948 | 0.9832 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.13.0
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+ - Tokenizers 0.13.3