Update README.md

README.md

@@ -6,62 +6,11 @@ base_model: gpt2
 model-index:
 - name: gpt2coder-8epochs
   results: []
+datasets:
+- Vezora/10k-Python-2048-Max
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
 ---
 
-<!-- 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. -->
-
-# gpt2coder-8epochs
-
-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: 2.6054
-
-## 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: 8
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 10
-- total_train_batch_size: 80
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 8
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 125  | 4.7927          |
-| No log        | 2.0   | 250  | 3.7089          |
-| No log        | 3.0   | 375  | 3.2773          |
-| 4.5477        | 4.0   | 500  | 3.0126          |
-| 4.5477        | 5.0   | 625  | 2.8363          |
-| 4.5477        | 6.0   | 750  | 2.7137          |
-| 4.5477        | 7.0   | 875  | 2.6372          |
-| 2.8689        | 8.0   | 1000 | 2.6054          |
-
-
-### Framework versions
-
-- Transformers 4.41.1
-- Pytorch 2.1.2
-- Datasets 2.19.1
-- Tokenizers 0.19.1