Training complete

README.md

@@ -2,6 +2,7 @@
 license: apache-2.0
 base_model: google/mt5-small
 tags:
+- summarization
 - generated_from_trainer
 model-index:
 - name: amharic_text_summarization
@@ -15,16 +16,16 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.8623
-- eval_rouge1: 18.0038
-- eval_rouge2: 10.1584
-- eval_rougeL: 17.7176
-- eval_rougeLsum: 17.7042
-- eval_runtime: 363.1536
-- eval_samples_per_second: 14.245
-- eval_steps_per_second: 1.782
-- epoch: 7.0
-- step: 18151
+- eval_loss: 1.8555
+- eval_rouge1: 18.0073
+- eval_rouge2: 10.0967
+- eval_rougeL: 17.7031
+- eval_rougeLsum: 17.704
+- eval_runtime: 364.1187
+- eval_samples_per_second: 14.207
+- eval_steps_per_second: 1.777
+- epoch: 8.0
+- step: 20736
 
 ## Model description