End of training

README.md

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+---
+license: mit
+base_model: Ransaka/sinhala-bert-medium-v2
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: Sinhala-toxic-bert
+  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. -->
+
+# Sinhala-toxic-bert
+
+This model is a fine-tuned version of [Ransaka/sinhala-bert-medium-v2](https://huggingface.co/Ransaka/sinhala-bert-medium-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2358
+- F1: 0.8877
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.4053        | 0.08  | 100  | 0.2802          | 0.8677 |
+| 0.3768        | 0.16  | 200  | 0.3123          | 0.8616 |
+| 0.3334        | 0.24  | 300  | 0.2810          | 0.8732 |
+| 0.2906        | 0.32  | 400  | 0.2554          | 0.8779 |
+| 0.3027        | 0.4   | 500  | 0.2595          | 0.8836 |
+| 0.2612        | 0.48  | 600  | 0.2797          | 0.8592 |
+| 0.2568        | 0.56  | 700  | 0.2474          | 0.8785 |
+| 0.2325        | 0.64  | 800  | 0.2546          | 0.8816 |
+| 0.2272        | 0.72  | 900  | 0.2424          | 0.8878 |
+| 0.2331        | 0.8   | 1000 | 0.2358          | 0.8877 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0