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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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widget: |
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- text: "I feel so low and numb, don't feel like doing anything. Just passing my days" |
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- text: "Sleep is my greatest and most comforting escape whenever I wake up these days. The literal very first emotion I feel is just misery and reminding myself of all my problems." |
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- text: "I went to a movie today. It was below my expectations but the day was fine." |
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- text: "The first day of work was a little hectic but met pretty good colleagues, we went for a team dinner party at the end of the day." |
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metrics: |
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- accuracy |
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model-index: |
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- name: finetuned-roberta-depression |
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results: [] |
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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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# finetuned-roberta-depression |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1385 |
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- Accuracy: 0.9745 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.0238 | 1.0 | 625 | 0.1385 | 0.9745 | |
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| 0.0333 | 2.0 | 1250 | 0.1385 | 0.9745 | |
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| 0.0263 | 3.0 | 1875 | 0.1385 | 0.9745 | |
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### Framework versions |
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- Transformers 4.17.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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