End of training

README.md

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+---
+license: mit
+base_model: ryantaw/bert-small-finetuned
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-small-finetuned-finetuned
+  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. -->
+
+# bert-small-finetuned-finetuned
+
+This model is a fine-tuned version of [ryantaw/bert-small-finetuned](https://huggingface.co/ryantaw/bert-small-finetuned) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8577
+- Accuracy: 0.6846
+- F1 Score: 0.6854
+
+## 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: 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 Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| No log        | 1.0   | 186  | 0.8402          | 0.6577   | 0.6553   |
+| No log        | 2.0   | 372  | 0.8577          | 0.6846   | 0.6854   |
+| 0.7061        | 3.0   | 558  | 0.9049          | 0.6415   | 0.6367   |
+| 0.7061        | 4.0   | 744  | 0.9252          | 0.6631   | 0.6625   |
+| 0.7061        | 5.0   | 930  | 1.0010          | 0.6685   | 0.6670   |
+| 0.3613        | 6.0   | 1116 | 1.1754          | 0.6199   | 0.6130   |
+| 0.3613        | 7.0   | 1302 | 1.2138          | 0.6604   | 0.6592   |
+| 0.3613        | 8.0   | 1488 | 1.3055          | 0.6604   | 0.6583   |
+| 0.1426        | 9.0   | 1674 | 1.3710          | 0.6523   | 0.6495   |
+| 0.1426        | 10.0  | 1860 | 1.3899          | 0.6550   | 0.6529   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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runs/Nov09_03-19-27_10692cf1c6d5/events.out.tfevents.1699500301.10692cf1c6d5.3621.7

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