Update README.md

README.md

@@ -7,45 +7,11 @@ tags:
 model-index:
 - name: gpt2-medium-finetuned-high-reasoning
   results: []
+datasets:
+- TeichAI/gpt-5.1-high-reasoning-1000x
+- TeichAI/gpt-5.1-codex-max-1000x
 ---
 
-<!-- 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-medium-finetuned-high-reasoning
-
-This model is a fine-tuned version of [gss1147/gpt2-medium-finetuned](https://huggingface.co/gss1147/gpt2-medium-finetuned) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.2888
-
-## 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: 1
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 8
-- 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
-- mixed_precision_training: Native AMP
 
 ### Training results
 
@@ -61,4 +27,4 @@ The following hyperparameters were used during training:
 - Transformers 5.0.0
 - Pytorch 2.10.0+cu128
 - Datasets 4.0.0
-- Tokenizers 0.22.2
+- Tokenizers 0.22.2