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: 0.7999
-- eval_bleu: 35.2686
-- eval_gen_len: 45.5769
-- eval_runtime: 3400.6474
-- eval_samples_per_second: 8.33
-- eval_steps_per_second: 0.261
+- eval_loss: 0.7591
+- eval_bleu: 37.0912
+- eval_gen_len: 45.6942
+- eval_runtime: 3529.0091
+- eval_samples_per_second: 8.027
+- eval_steps_per_second: 0.251
 - 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: 600000
+- num_epochs: 3
 
 ### Framework versions
 

runs/Feb05_14-24-34_fd050cb03644/events.out.tfevents.1707146607.fd050cb03644.298.1

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

training_args.bin

@@ -1,3 +1,3 @@
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 size 4792