Update README.md

README.md

@@ -1,60 +1,17 @@
 ---
 library_name: transformers
-base_model: gss1147/GPT2.5.2-high-reasoning-codex-0.4B
+base_model:
+- gss1147/GPT2.5.2-high-reasoning-codex-0.4B
+- openai-community/gpt2-medium
 tags:
 - generated_from_trainer
 model-index:
 - name: gpt2-finetuned
   results: []
+datasets:
+- TeichAI/gpt-5.1-codex-max-1000x
+- TeichAI/gpt-5.2-high-reasoning-250x
+- jjmachan/NSFW-reddit
+- gss1147/GPT-2-to-GPT-5-5k
 ---
 
-<!-- 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-finetuned
-
-This model is a fine-tuned version of [gss1147/GPT2.5.2-high-reasoning-codex-0.4B](https://huggingface.co/gss1147/GPT2.5.2-high-reasoning-codex-0.4B) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.8222
-
-## 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: 4
-- eval_batch_size: 4
-- seed: 42
-- 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: linear
-- lr_scheduler_warmup_steps: 500
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 3.3111        | 1.0   | 913  | 2.8776          |
-| 2.8017        | 2.0   | 1826 | 2.8265          |
-| 2.6463        | 3.0   | 2739 | 2.8222          |
-
-
-### Framework versions
-
-- Transformers 5.0.0
-- Pytorch 2.10.0+cu128
-- Datasets 4.0.0
-- Tokenizers 0.22.2