End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3132
+- Loss: 0.4141
 
 ## Model description
 
@@ -34,21 +34,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 2e-05
 - train_batch_size: 4
 - eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3.0
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 4.5785        | 1.0   | 35   | 2.2923          |
-| 0.7609        | 2.0   | 70   | 0.4357          |
-| 0.2599        | 3.0   | 105  | 0.3132          |
+| 9.366         | 1.0   | 35   | 6.6269          |
+| 1.7902        | 2.0   | 70   | 1.5461          |
+| 0.9568        | 3.0   | 105  | 0.6312          |
+| 0.6407        | 4.0   | 140  | 0.4544          |
+| 1.5622        | 5.0   | 175  | 0.4141          |
 
 
 ### Framework versions

runs/Jan10_08-58-29_MacBook-Pro.localdomain/events.out.tfevents.1704848311.MacBook-Pro.localdomain.6771.0

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+size 34061

training_args.bin

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