End of training

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: roberta-large-Dep-second
+  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-Dep-second
+
+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: 1.1600
+- Accuracy: 0.8517
+- F1: 0.9113
+
+## 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
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 469  | 0.3551          | 0.86     | 0.9188 |
+| 0.3676        | 2.0   | 938  | 0.4666          | 0.8617   | 0.9198 |
+| 0.3042        | 3.0   | 1407 | 0.5818          | 0.86     | 0.9170 |
+| 0.2651        | 4.0   | 1876 | 0.8291          | 0.865    | 0.9200 |
+| 0.174         | 5.0   | 2345 | 0.8843          | 0.8567   | 0.9155 |
+| 0.1363        | 6.0   | 2814 | 1.1669          | 0.8317   | 0.8968 |
+| 0.075         | 7.0   | 3283 | 1.2803          | 0.8283   | 0.8952 |
+| 0.0401        | 8.0   | 3752 | 1.0247          | 0.8617   | 0.9184 |
+| 0.0301        | 9.0   | 4221 | 1.2848          | 0.83     | 0.8961 |
+| 0.0281        | 10.0  | 4690 | 1.1600          | 0.8517   | 0.9113 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3

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