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: Classifier_EUR_01
+  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. -->
+
+# Classifier_EUR_01
+
+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: 0.8187
+- Accuracy: 0.7537
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.5467        | 1.0   | 2795  | 0.5496          | 0.7765   |
+| 0.5311        | 2.0   | 5590  | 0.8505          | 0.7765   |
+| 0.5339        | 3.0   | 8385  | 0.5301          | 0.7765   |
+| 0.5273        | 4.0   | 11180 | 0.5696          | 0.7770   |
+| 0.4915        | 5.0   | 13975 | 0.8418          | 0.7542   |
+| 0.4574        | 6.0   | 16770 | 0.8187          | 0.7537   |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.2.1+cpu
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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