End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: my_awesome_model_priority_3
+  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. -->
+
+# my_awesome_model_priority_3
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1090
+- Accuracy: 0.9875
+
+## 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: 11
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 10   | 0.8290          | 0.625    |
+| No log        | 2.0   | 20   | 0.6544          | 0.8187   |
+| No log        | 3.0   | 30   | 0.4782          | 0.8688   |
+| No log        | 4.0   | 40   | 0.3593          | 0.9062   |
+| No log        | 5.0   | 50   | 0.2612          | 0.9313   |
+| No log        | 6.0   | 60   | 0.2043          | 0.9313   |
+| No log        | 7.0   | 70   | 0.1709          | 0.9375   |
+| No log        | 8.0   | 80   | 0.1448          | 0.95     |
+| No log        | 9.0   | 90   | 0.1236          | 0.9688   |
+| No log        | 10.0  | 100  | 0.1129          | 0.9875   |
+| No log        | 11.0  | 110  | 0.1090          | 0.9875   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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