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: finetuned_gpt2_model2
+  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. -->
+
+# finetuned_gpt2_model2
+
+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: 0.1285
+- Precision: 0.3701
+- Recall: 0.4221
+- F1: 0.3944
+- Accuracy: 0.9579
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 250  | 0.1313          | 0.3755    | 0.4334 | 0.4024 | 0.9570   |
+| 0.1287        | 2.0   | 500  | 0.1298          | 0.3706    | 0.4266 | 0.3967 | 0.9577   |
+| 0.1287        | 3.0   | 750  | 0.1298          | 0.3746    | 0.4242 | 0.3979 | 0.9573   |
+| 0.1269        | 4.0   | 1000 | 0.1285          | 0.3701    | 0.4221 | 0.3944 | 0.9579   |
+| 0.1269        | 5.0   | 1250 | 0.1287          | 0.3771    | 0.4300 | 0.4018 | 0.9576   |
+| 0.127         | 6.0   | 1500 | 0.1288          | 0.3774    | 0.4300 | 0.4020 | 0.9575   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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