Model save

README.md

@@ -1,12 +1,11 @@
 ---
+license: llama2
 library_name: peft
 tags:
 - trl
 - sft
 - generated_from_trainer
 base_model: meta-llama/Llama-2-7b-hf
-datasets:
-- generator
 model-index:
 - name: ehrsql-2024-sft-text2sql-Llama-2-7b-hf
   results: []
@@ -17,9 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ehrsql-2024-sft-text2sql-Llama-2-7b-hf
 
-This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the generator dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0583
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
 
 ## Model description
 
@@ -46,17 +43,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: cosine
 - num_epochs: 5
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.0838        | 1.0   | 1306 | 0.0870          |
-| 0.0601        | 2.0   | 2612 | 0.0684          |
-| 0.0632        | 3.0   | 3918 | 0.0603          |
-| 0.0461        | 4.0   | 5224 | 0.0581          |
-| 0.0488        | 5.0   | 6530 | 0.0583          |
-
-
 ### Framework versions
 
 - PEFT 0.9.0