End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/umt5-base
+base_model: jhpassion0621/kp-umt5-base
 tags:
 - generated_from_trainer
 model-index:
@@ -13,15 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # kp-umt5-base
 
-This model is a fine-tuned version of [google/umt5-base](https://huggingface.co/google/umt5-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 1.2530
-- eval_bleu: 21.9541
-- eval_gen_len: 44.6717
-- eval_runtime: 3625.6762
-- eval_samples_per_second: 7.813
-- eval_steps_per_second: 0.244
-- step: 0
+This model is a fine-tuned version of [jhpassion0621/kp-umt5-base](https://huggingface.co/jhpassion0621/kp-umt5-base) on an unknown dataset.
 
 ## Model description
 
@@ -41,13 +33,13 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 2500
-- training_steps: 240000
+- training_steps: 300000
 
 ### Framework versions
 

runs/Feb03_13-02-55_02cebb7445ec/events.out.tfevents.1706968834.02cebb7445ec.5292.1

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+size 390

training_args.bin

@@ -1,3 +1,3 @@
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