End of training

README.md

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+---
+license: cc-by-4.0
+base_model: l3cube-pune/malayalam-bert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: malayalam-bert-FakeNews-Dravidian-finalwithPP
+  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. -->
+
+# malayalam-bert-FakeNews-Dravidian-finalwithPP
+
+This model is a fine-tuned version of [l3cube-pune/malayalam-bert](https://huggingface.co/l3cube-pune/malayalam-bert) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0597
+- Accuracy: 0.9890
+- Weighted f1 score: 0.9890
+- Macro f1 score: 0.9890
+
+## 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: 16
+- eval_batch_size: 16
+- 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 | Weighted f1 score | Macro f1 score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|:--------------:|
+| 0.879         | 1.0   | 255  | 0.6737          | 0.8417   | 0.8403            | 0.8403         |
+| 0.5845        | 2.0   | 510  | 0.4242          | 0.9178   | 0.9178            | 0.9178         |
+| 0.3641        | 3.0   | 765  | 0.2130          | 0.9656   | 0.9656            | 0.9656         |
+| 0.2351        | 4.0   | 1020 | 0.1512          | 0.9681   | 0.9681            | 0.9681         |
+| 0.1702        | 5.0   | 1275 | 0.0936          | 0.9816   | 0.9816            | 0.9816         |
+| 0.109         | 6.0   | 1530 | 0.0734          | 0.9853   | 0.9853            | 0.9853         |
+| 0.0904        | 7.0   | 1785 | 0.0670          | 0.9877   | 0.9877            | 0.9877         |
+| 0.0692        | 8.0   | 2040 | 0.0600          | 0.9877   | 0.9877            | 0.9877         |
+| 0.0468        | 9.0   | 2295 | 0.0612          | 0.9890   | 0.9890            | 0.9890         |
+| 0.0471        | 10.0  | 2550 | 0.0597          | 0.9890   | 0.9890            | 0.9890         |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.0.0
+- Datasets 2.11.0
+- Tokenizers 0.14.1

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runs/Nov25_07-18-42_ff092ca7e2be/events.out.tfevents.1700896738.ff092ca7e2be.93.0

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