End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/mt5-large
+base_model: jhpassion0621/kp-mt5-large
 tags:
 - generated_from_trainer
 metrics:
@@ -15,11 +15,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # kp-mt5-large
 
-This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset.
+This model is a fine-tuned version of [jhpassion0621/kp-mt5-large](https://huggingface.co/jhpassion0621/kp-mt5-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1471
-- Bleu: 21.0032
-- Gen Len: 43.8168
+- Loss: 1.0369
+- Bleu: 24.3739
+- Gen Len: 44.3545
 
 ## Model description
 
@@ -47,13 +47,14 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 2500
-- training_steps: 15000
+- training_steps: 30000
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
-| 1.5428        | 0.26  | 15000 | 1.1471          | 21.0032 | 43.8168 |
+| Training Loss | Epoch | Step  | Bleu    | Gen Len | Validation Loss |
+|:-------------:|:-----:|:-----:|:-------:|:-------:|:---------------:|
+| 1.5428        | 0.26  | 15000 | 21.0032 | 43.8168 | 1.1471          |
+| 1.3755        | 0.51  | 30000 | 1.0369  | 24.3739 | 44.3545         |
 
 
 ### Framework versions