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README.md

@@ -1,53 +1,14 @@
----
-library_name: transformers
-license: apache-2.0
-base_model: distilgpt2
-tags:
-- generated_from_trainer
-model-index:
-- name: distilgpt2-custom
-  results: []
----
+# 📚 Pravesh390's Fine-tuned DistilGPT2
 
-<!-- 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. -->
+This model is fine-tuned on a small custom dataset with creative text samples.
+Based on the [distilgpt2](https://huggingface.co/distilgpt2) model.
 
-# distilgpt2-custom
+## ✨ Usage
+```python
+from transformers import pipeline
+generator = pipeline("text-generation", model="Pravesh390/distilgpt2-custom")
+generator("Once upon a time", max_length=50)
+```
 
-This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
-
-## 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: 2
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 3
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.53.2
-- Pytorch 2.6.0+cu124
-- Datasets 4.0.0
-- Tokenizers 0.21.2
+## 🛠️ Fine-tuned by:
+[Pravesh390](https://huggingface.co/Pravesh390)