End of training

README.md

@@ -2,8 +2,6 @@
 base_model: meta-llama/Llama-2-7b-hf
 tags:
 - generated_from_trainer
-datasets:
-- mlsum
 model-index:
 - name: Llama2_7B_mlsum_ft_adapters
   results: []
@@ -14,7 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Llama2_7B_mlsum_ft_adapters
 
-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 mlsum dataset.
+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
 
@@ -42,7 +40,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 2
-- training_steps: 400
+- training_steps: 50
 
 ### Training results
 

adapter_model.bin

@@ -1,3 +1,3 @@
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 size 16822989

training_args.bin

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