End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: t5-small
+base_model: Falconsai/text_summarization
 tags:
 - generated_from_trainer
 metrics:
@@ -16,13 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # cnn_news_summary_model_trained_on_reduced_data
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6040
-- Rouge1: 0.2178
-- Rouge2: 0.0939
-- Rougel: 0.1839
-- Rougelsum: 0.1838
+- Loss: 0.7748
+- Rouge1: 0.1505
+- Rouge2: 0.1077
+- Rougel: 0.1447
+- Rougelsum: 0.1447
 - Generated Length: 19.0
 
 ## Model description
@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
-| No log        | 1.0   | 431  | 1.6242          | 0.2172 | 0.0932 | 0.1826 | 0.1826    | 19.0             |
-| 1.9203        | 2.0   | 862  | 1.6074          | 0.2167 | 0.0933 | 0.1825 | 0.1826    | 19.0             |
-| 1.8221        | 3.0   | 1293 | 1.6040          | 0.2178 | 0.0939 | 0.1839 | 0.1838    | 19.0             |
+| No log        | 1.0   | 1    | 0.7866          | 0.1505 | 0.1077 | 0.1447 | 0.1447    | 19.0             |
+| No log        | 2.0   | 2    | 0.7787          | 0.1505 | 0.1077 | 0.1447 | 0.1447    | 19.0             |
+| No log        | 3.0   | 3    | 0.7748          | 0.1505 | 0.1077 | 0.1447 | 0.1447    | 19.0             |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
 - Pytorch 2.4.1+cu121
-- Datasets 3.0.0
+- Datasets 3.0.1
 - Tokenizers 0.19.1