chore: more info

README.md

@@ -1,35 +1,30 @@
 ---
-license: other
+license: mit
 base_model: facebook/opt-350m
 tags:
 - trl
 - sft
-- generated_from_trainer
+- gnumanth/dadjokes-trained-otp
 model-index:
 - name: tmp_trainer
   results: []
+datasets:
+- gnumanth/dad-jokes
+language:
+- en
+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. -->
 
-# tmp_trainer
+# 
 
-This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
+This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an [gnumanth/dad-jokes](https://huggingface.co/datasets/gnumanth/dad-jokes)dataset.
 
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+SFT Trained simple model for fun! 
 
 ### Training hyperparameters
 
@@ -44,11 +39,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-
+```
+TrainOutput(global_step=18, training_loss=2.2378472222222223, metrics={'train_runtime': 149.7511, 'train_samples_per_second': 0.881, 'train_steps_per_second': 0.12, 'total_flos': 9828797644800.0, 'train_loss': 2.2378472222222223, 'epoch': 3.0})
+```
 
 ### Framework versions
 
 - Transformers 4.38.1
 - Pytorch 2.1.0+cu121
 - Datasets 2.17.1
-- Tokenizers 0.15.1
+- Tokenizers 0.15.1