End of training

README.md

@@ -17,9 +17,9 @@ 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: 0.0032
-- F1: 99.6667
-- Gen Len: 2.33
+- Loss: 0.0042
+- F1: 99.8333
+- Gen Len: 2.3317
 
 ## Model description
 
@@ -44,13 +44,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1      | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 0.0396        | 1.0   | 675  | 0.0032          | 99.6667 | 2.33    |
+| 0.014         | 1.0   | 675  | 0.0119          | 99.6662 | 2.335   |
+| 0.0065        | 2.0   | 1350 | 0.0042          | 99.8333 | 2.3317  |
+| 0.0           | 3.0   | 2025 | 0.0017          | 99.8333 | 2.3317  |
+| 0.0           | 4.0   | 2700 | 0.0017          | 99.8333 | 2.3317  |
+| 0.0           | 5.0   | 3375 | 0.0017          | 99.8333 | 2.3317  |
 
 
 ### Framework versions

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tokenizer.json

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-    "strategy": "LongestFirst",
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