News Event fine tuned model

Microsoft Phi1.5 model fine tuned on Event Detection Dataset <href https://cs.uns.edu.ar/~mmaisonnave/resources/maisonnave2020improving.pdf >

README.md

@@ -1,58 +1,11 @@
 ---
-license: mit
-library_name: peft
-tags:
-- trl
-- sft
-- generated_from_trainer
-base_model: microsoft/phi-1_5
-model-index:
-- name: phi-1_5-finetuned-news-events
-  results: []
----
-
-<!-- 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. -->
-
-# phi-1_5-finetuned-news-events
-
-This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.3737
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 4
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- training_steps: 800
-
-### Training results
-
-
-
-### Framework versions
-
-- PEFT 0.10.0
-- Transformers 4.38.2
-- Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+license: apache-2.0
+datasets:
+- cnn_dailymail
+language:
+- en
+metrics:
+- accuracy
+library_name: adapter-transformers
+pipeline_tag: text-generation
+---