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-test4
+  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-test4
+
+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: 0.1958
+- Accuracy: 0.95
+- F1: 0.9499
+
+## 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        | 0.01  | 50   | 0.6942          | 0.45     | 0.2793 |
+| No log        | 0.02  | 100  | 0.6915          | 0.57     | 0.4337 |
+| No log        | 0.03  | 150  | 0.6879          | 0.55     | 0.3903 |
+| No log        | 0.04  | 200  | 0.6904          | 0.56     | 0.5607 |
+| No log        | 0.05  | 250  | 0.6847          | 0.56     | 0.5607 |
+| No log        | 0.06  | 300  | 0.6693          | 0.56     | 0.5607 |
+| No log        | 0.07  | 350  | 0.5499          | 0.9      | 0.8998 |
+| No log        | 0.08  | 400  | 0.4220          | 0.93     | 0.9295 |
+| No log        | 0.09  | 450  | 0.3421          | 0.93     | 0.9295 |
+| 0.6127        | 0.1   | 500  | 0.2987          | 0.93     | 0.9295 |
+| 0.6127        | 0.11  | 550  | 0.2704          | 0.93     | 0.9295 |
+| 0.6127        | 0.12  | 600  | 0.2530          | 0.93     | 0.9295 |
+| 0.6127        | 0.13  | 650  | 0.2199          | 0.93     | 0.9297 |
+| 0.6127        | 0.14  | 700  | 0.2204          | 0.93     | 0.9295 |
+| 0.6127        | 0.15  | 750  | 0.1965          | 0.95     | 0.9499 |
+| 0.6127        | 0.16  | 800  | 0.1944          | 0.95     | 0.9499 |
+| 0.6127        | 0.17  | 850  | 0.1942          | 0.95     | 0.9499 |
+| 0.6127        | 0.18  | 900  | 0.1938          | 0.95     | 0.9499 |
+| 0.6127        | 0.19  | 950  | 0.1950          | 0.95     | 0.9499 |
+| 0.2388        | 0.2   | 1000 | 0.1943          | 0.95     | 0.9499 |
+| 0.2388        | 0.2   | 1050 | 0.1939          | 0.95     | 0.9499 |
+| 0.2388        | 0.21  | 1100 | 0.1939          | 0.95     | 0.9499 |
+| 0.2388        | 0.22  | 1150 | 0.1928          | 0.95     | 0.9499 |
+| 0.2388        | 0.23  | 1200 | 0.1937          | 0.95     | 0.9499 |
+| 0.2388        | 0.24  | 1250 | 0.1958          | 0.95     | 0.9499 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

runs/Nov27_08-33-44_3bebd8c8af90/events.out.tfevents.1701074041.3bebd8c8af90.1278.1

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