End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: semantic-bert-imbalanced-dataset
+  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. -->
+
+# semantic-bert-imbalanced-dataset
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3940
+- Accuracy: 0.5926
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 367  | 0.8237          | 0.6017   |
+| 0.7608        | 2.0   | 734  | 0.8750          | 0.5834   |
+| 0.5139        | 3.0   | 1101 | 0.9829          | 0.5946   |
+| 0.5139        | 4.0   | 1468 | 1.2406          | 0.5870   |
+| 0.3119        | 5.0   | 1835 | 1.5168          | 0.5865   |
+| 0.1501        | 6.0   | 2202 | 2.0461          | 0.5814   |
+| 0.0981        | 7.0   | 2569 | 2.2575          | 0.5860   |
+| 0.0981        | 8.0   | 2936 | 2.6289          | 0.5804   |
+| 0.0647        | 9.0   | 3303 | 2.8079          | 0.5844   |
+| 0.0436        | 10.0  | 3670 | 2.9811          | 0.5824   |
+| 0.0271        | 11.0  | 4037 | 3.0669          | 0.5875   |
+| 0.0271        | 12.0  | 4404 | 3.1201          | 0.5834   |
+| 0.0153        | 13.0  | 4771 | 3.1980          | 0.5910   |
+| 0.0189        | 14.0  | 5138 | 3.2317          | 0.5931   |
+| 0.0158        | 15.0  | 5505 | 3.2659          | 0.5885   |
+| 0.0158        | 16.0  | 5872 | 3.3860          | 0.5875   |
+| 0.0122        | 17.0  | 6239 | 3.3302          | 0.5956   |
+| 0.0107        | 18.0  | 6606 | 3.3341          | 0.5946   |
+| 0.0107        | 19.0  | 6973 | 3.4042          | 0.5931   |
+| 0.0078        | 20.0  | 7340 | 3.3940          | 0.5926   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.3.0.dev20231224
+- Datasets 2.16.0
+- Tokenizers 0.15.0

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