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README.md

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+---
+library_name: transformers
+license: mit
+base_model: FacebookAI/roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: Mental-Health-RoBERTa
+  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. -->
+
+# Mental-Health-RoBERTa
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3713
+- F1: 0.8578
+- Acc: 0.8573
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Acc    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 0.5312        | 1.0   | 1255 | 0.4397          | 0.8295 | 0.8287 |
+| 0.3378        | 2.0   | 2510 | 0.3662          | 0.8535 | 0.8534 |
+| 0.262         | 3.0   | 3765 | 0.3713          | 0.8578 | 0.8573 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

runs/Nov26_14-49-18_4a6e959b7a9d/events.out.tfevents.1732632571.4a6e959b7a9d.30.0

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