End of training

README.md

@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0872
-- Bleu Score: 25.2243
-- Gen Len: 18.8053
+- Loss: 0.0941
+- Bleu Score: 24.8094
+- Gen Len: 18.8172
 
 ## Model description
 
@@ -37,21 +37,22 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 0.0001
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
-| 0.2           | 1.0   | 838  | 0.1229          | 24.1188    | 18.8076 |
-| 0.1099        | 2.0   | 1676 | 0.0951          | 24.7563    | 18.8017 |
-| 0.0841        | 3.0   | 2514 | 0.0872          | 25.2243    | 18.8053 |
+| 0.2195        | 1.0   | 838  | 0.1354          | 23.689     | 18.7945 |
+| 0.1289        | 2.0   | 1676 | 0.1085          | 24.4546    | 18.8053 |
+| 0.104         | 3.0   | 2514 | 0.0969          | 24.8285    | 18.8112 |
+| 0.0906        | 4.0   | 3352 | 0.0941          | 24.8094    | 18.8172 |
 
 
 ### Framework versions

logs/events.out.tfevents.1731560328.ea42bc39d353.1329.0

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