Update README.md

README.md

@@ -6,6 +6,9 @@ tags:
 model-index:
 - name: flanT5-MoE-7X0.1B-PythonGOD-25k-finetuned-GotAgenticAI
   results: []
+datasets:
+- gss1147/Python_GOD_Coder_25k
+- WithinUsAI/Got_Agentic_AI_5k
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,47 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # flanT5-MoE-7X0.1B-PythonGOD-25k-finetuned-GotAgenticAI
 
-This model is a fine-tuned version of [gss1147/flanT5-MoE-7X0.1B-PythonGOD-25k](https://huggingface.co/gss1147/flanT5-MoE-7X0.1B-PythonGOD-25k) on an unknown dataset.
+This model is a fine-tuned version of [gss1147/flanT5-MoE-7X0.1B-PythonGOD-25k](https://huggingface.co/gss1147/flanT5-MoE-7X0.1B-PythonGOD-25k) on an WithinUsAI/Got_Agentic_AI_5k dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0155
 
-## 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: 8
-- eval_batch_size: 8
-- 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
-- num_epochs: 3.0
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.1240        | 1.0   | 618  | 0.0179          |
-| 0.0317        | 2.0   | 1236 | 0.0159          |
-| 0.0256        | 3.0   | 1854 | 0.0155          |
-
-
-### Framework versions
-
-- Transformers 5.0.0
-- Pytorch 2.10.0+cu128
-- Datasets 4.0.0
-- Tokenizers 0.22.2