End of training

README.md

@@ -14,6 +14,14 @@ should probably proofread and complete it, then remove this comment. -->
 # kp-umt5-base
 
 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
+- step: 0
 
 ## Model description
 
@@ -33,8 +41,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear

runs/Feb03_22-19-07_3483cf0d61e7/events.out.tfevents.1707002070.3483cf0d61e7.683.1

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+size 390

training_args.bin

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