End of training

README.md

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+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: yes_no_model_english
+  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. -->
+
+# yes_no_model_english
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0002
+
+## 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: 10
+- eval_batch_size: 10
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.2072        | 0.2857 | 10   | 1.0470          |
+| 1.0909        | 0.5714 | 20   | 0.7972          |
+| 0.8701        | 0.8571 | 30   | 0.5695          |
+| 0.5525        | 1.1429 | 40   | 0.2802          |
+| 0.2131        | 1.4286 | 50   | 0.0569          |
+| 0.0454        | 1.7143 | 60   | 0.0093          |
+| 0.0144        | 2.0    | 70   | 0.0012          |
+| 0.0016        | 2.2857 | 80   | 0.0003          |
+| 0.0006        | 2.5714 | 90   | 0.0002          |
+| 0.0006        | 2.8571 | 100  | 0.0002          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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