Model save

README.md

@@ -3,11 +3,10 @@ base_model: meta-llama/Llama-2-7b-hf
 tags:
 - generated_from_trainer
 datasets:
-- Salesforce/dialogstudio
+- dialogstudio
 model-index:
 - name: tweet-summarization-llama-2-finetuned
   results: []
-pipeline_tag: text-generation
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tweet-summarization-llama-2-finetuned
 
-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 Salesforce/dialogstudio 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 the dialogstudio dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.9067
 
@@ -63,4 +62,4 @@ The following hyperparameters were used during training:
 - Transformers 4.32.1
 - Pytorch 2.0.1+cu117
 - Datasets 2.14.4
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3