End of training

README.md

@@ -3,11 +3,10 @@ base_model: meta-llama/Llama-2-7b-hf
 tags:
 - generated_from_trainer
 datasets:
-- dialogstudio
+- Salesforce/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
@@ -15,9 +14,9 @@ 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 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 Salesforce/dialogstudio dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9067
+- Loss: 1.9075
 
 ## Model description
 
@@ -51,11 +50,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.0502        | 0.4   | 22   | 2.0521          |
-| 1.9097        | 0.8   | 44   | 1.9663          |
-| 1.8115        | 1.2   | 66   | 1.9141          |
-| 1.8853        | 1.6   | 88   | 1.9079          |
-| 1.7765        | 2.0   | 110  | 1.9067          |
+| 1.9022        | 1.0   | 55   | 1.9515          |
+| 1.8691        | 2.0   | 110  | 1.9075          |
 
 
 ### Framework versions
@@ -63,4 +59,4 @@ 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

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 4096,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {