End of training

README.md

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+---
+license: mit
+base_model: prajjwal1/bert-tiny
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: BP-INT03
+  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. -->
+
+# BP-INT03
+
+This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3220
+- Accuracy: 0.89
+- F1: 0.8889
+
+## 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 | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0.0   | 50   | 0.6958          | 0.43     | 0.2586 |
+| No log        | 0.01  | 100  | 0.6890          | 0.67     | 0.6043 |
+| No log        | 0.01  | 150  | 0.6814          | 0.57     | 0.4139 |
+| No log        | 0.02  | 200  | 0.6723          | 0.57     | 0.4139 |
+| No log        | 0.02  | 250  | 0.6289          | 0.81     | 0.8103 |
+| No log        | 0.03  | 300  | 0.5298          | 0.82     | 0.8207 |
+| No log        | 0.03  | 350  | 0.4480          | 0.88     | 0.8796 |
+| No log        | 0.04  | 400  | 0.4042          | 0.89     | 0.8889 |
+| No log        | 0.04  | 450  | 0.3688          | 0.9      | 0.8988 |
+| 0.6099        | 0.05  | 500  | 0.3615          | 0.89     | 0.8889 |
+| 0.6099        | 0.05  | 550  | 0.3542          | 0.89     | 0.8889 |
+| 0.6099        | 0.06  | 600  | 0.3443          | 0.89     | 0.8889 |
+| 0.6099        | 0.06  | 650  | 0.3300          | 0.89     | 0.8889 |
+| 0.6099        | 0.07  | 700  | 0.3196          | 0.89     | 0.8889 |
+| 0.6099        | 0.07  | 750  | 0.3220          | 0.89     | 0.8889 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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