Training complete

README.md

@@ -19,11 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Rouge1: 0.0
-- Rouge2: 0.0
-- Rougel: 0.0
-- Rougelsum: 0.0
+- Loss: 3.3696
+- Model Preparation Time: 0.0085
+- Rouge1: 19.7992
+- Rouge2: 5.6898
+- Rougel: 16.7802
+- Rougelsum: 16.7497
 
 ## Model description
 
@@ -42,14 +43,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5.6e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 4
-- mixed_precision_training: Native AMP
 
 ### Training results
 
@@ -59,5 +59,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.44.2
 - Pytorch 2.4.0+cu121
-- Datasets 2.21.0
+- Datasets 3.0.0
 - Tokenizers 0.19.1

runs/Sep17_07-22-14_817911b27cd9/events.out.tfevents.1726560360.817911b27cd9.490.2

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+size 628