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Model: kriteekathapa/gpt2-poems-finetuned-v1
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt2-poems-finetuned-v1
+  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. -->
+
+# gpt2-poems-finetuned-v1
+
+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: 3.8988
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 4.2281        | 0.3193 | 500  | 4.0769          |
+| 4.1077        | 0.6385 | 1000 | 4.0222          |
+| 4.0667        | 0.9578 | 1500 | 3.9898          |
+| 4.0905        | 1.2765 | 2000 | 3.9738          |
+| 4.008         | 1.5957 | 2500 | 3.9561          |
+| 4.0071        | 1.9150 | 3000 | 3.9448          |
+| 3.9696        | 2.2337 | 3500 | 3.9376          |
+| 3.9984        | 2.5530 | 4000 | 3.9289          |
+| 3.9279        | 2.8722 | 4500 | 3.9212          |
+| 3.9569        | 3.1909 | 5000 | 3.9181          |
+| 3.9598        | 3.5102 | 5500 | 3.9154          |
+| 3.9403        | 3.8294 | 6000 | 3.9126          |
+| 3.908         | 4.1481 | 6500 | 3.9117          |
+| 3.9344        | 4.4674 | 7000 | 3.9109          |
+| 3.9645        | 4.7867 | 7500 | 3.9105          |
+
+
+### Framework versions
+
+- Transformers 4.57.6
+- Pytorch 2.9.1+cu126
+- Datasets 4.5.0
+- Tokenizers 0.22.2