End of training

README.md

@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [jhpassion0621/kp-umt5-base](https://huggingface.co/jhpassion0621/kp-umt5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.0529
-- eval_bleu: 27.33
-- eval_gen_len: 44.7343
-- eval_runtime: 3307.4851
-- eval_samples_per_second: 8.565
-- eval_steps_per_second: 0.268
+- eval_loss: 0.8581
+- eval_bleu: 33.3344
+- eval_gen_len: 45.4356
+- eval_runtime: 3316.235
+- eval_samples_per_second: 8.543
+- eval_steps_per_second: 0.267
 - step: 0
 
 ## Model description
@@ -47,7 +47,7 @@ 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: 300000
+- training_steps: 600000
 
 ### Framework versions
 

runs/Feb04_23-50-54_f11b37329c5b/events.out.tfevents.1707093976.f11b37329c5b.486.0

@@ -0,0 +1,3 @@
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+size 390

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:83a4e657d76dae15439408d8ccab91daa2a9a19eb1015165dece9b8bb5a5c58c
 size 4792