End of training

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: roberta-large-first
+  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-large-first
+
+This model is a fine-tuned version of [rafalposwiata/deproberta-large-depression](https://huggingface.co/rafalposwiata/deproberta-large-depression) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2025
+- Accuracy: 0.8483
+- F1: 0.9100
+
+## 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: 5e-06
+- 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 469  | 0.3694          | 0.8783   | 0.9312 |
+| 0.3984        | 2.0   | 938  | 0.4488          | 0.87     | 0.9257 |
+| 0.3366        | 3.0   | 1407 | 0.5764          | 0.855    | 0.9141 |
+| 0.295         | 4.0   | 1876 | 0.7716          | 0.8533   | 0.9132 |
+| 0.1876        | 5.0   | 2345 | 0.8724          | 0.855    | 0.9148 |
+| 0.1378        | 6.0   | 2814 | 1.1717          | 0.825    | 0.8921 |
+| 0.0836        | 7.0   | 3283 | 1.0711          | 0.8367   | 0.9028 |
+| 0.043         | 8.0   | 3752 | 1.0807          | 0.8633   | 0.9202 |
+| 0.0402        | 9.0   | 4221 | 1.2285          | 0.8367   | 0.9024 |
+| 0.035         | 10.0  | 4690 | 1.2025          | 0.8483   | 0.9100 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3

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