End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: openai-community/gpt2
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: gpt_model
+  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. -->
+
+# gpt_model
+
+This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1091
+- Precision: 0.4781
+- Recall: 0.4102
+- F1: 0.4415
+- Accuracy: 0.9601
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 250  | 0.1237          | 0.4231    | 0.3799 | 0.4003 | 0.9566   |
+| 0.2052        | 2.0   | 500  | 0.1117          | 0.4723    | 0.3790 | 0.4205 | 0.9598   |
+| 0.2052        | 3.0   | 750  | 0.1102          | 0.4800    | 0.3928 | 0.4321 | 0.9601   |
+| 0.1115        | 4.0   | 1000 | 0.1091          | 0.4781    | 0.4102 | 0.4415 | 0.9601   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

runs/Sep14_22-44-47_15a0c0570aab/events.out.tfevents.1726353887.15a0c0570aab.5203.1

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