End of training

README.md

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 ---
 license: apache-2.0
+base_model: Redhotchilipoppy/montelnewsspeaker
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: MontelClassifier
+  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. -->
+
+# MontelClassifier
+
+This model is a fine-tuned version of [Redhotchilipoppy/montelnewsspeaker](https://huggingface.co/Redhotchilipoppy/montelnewsspeaker) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6256
+- Accuracy: 0.7296
+
+## 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: 5e-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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 116  | 1.4596          | 0.5880   |
+| No log        | 2.0   | 232  | 1.1372          | 0.7039   |
+| No log        | 3.0   | 348  | 1.0803          | 0.6910   |
+| No log        | 4.0   | 464  | 1.1075          | 0.7253   |
+| 1.2586        | 5.0   | 580  | 1.1247          | 0.7253   |
+| 1.2586        | 6.0   | 696  | 1.2004          | 0.7253   |
+| 1.2586        | 7.0   | 812  | 1.2889          | 0.7253   |
+| 1.2586        | 8.0   | 928  | 1.3423          | 0.7253   |
+| 0.3598        | 9.0   | 1044 | 1.5117          | 0.7425   |
+| 0.3598        | 10.0  | 1160 | 1.4968          | 0.7425   |
+| 0.3598        | 11.0  | 1276 | 1.4889          | 0.7253   |
+| 0.3598        | 12.0  | 1392 | 1.5606          | 0.7296   |
+| 0.0958        | 13.0  | 1508 | 1.6033          | 0.7339   |
+| 0.0958        | 14.0  | 1624 | 1.6221          | 0.7339   |
+| 0.0958        | 15.0  | 1740 | 1.6256          | 0.7296   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.15.0

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