End of training

README.md

@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7030
-- Precision: 0.7225
-- Recall: 0.7189
-- F1: 0.7076
-- Accuracy: 0.7189
+- Loss: 0.7901
+- Precision: 0.7429
+- Recall: 0.7450
+- F1: 0.7428
+- Accuracy: 0.7450
 
 ## Model description
 
@@ -49,14 +49,16 @@ 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: 2
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.844         | 0.4016 | 100  | 0.7930          | 0.7056    | 0.6767 | 0.6465 | 0.6767   |
-| 0.7513        | 0.8032 | 200  | 0.7030          | 0.7225    | 0.7189 | 0.7076 | 0.7189   |
+| 0.4967        | 0.4016 | 100  | 0.8049          | 0.7429    | 0.7349 | 0.7248 | 0.7349   |
+| 0.4829        | 0.8032 | 200  | 0.7162          | 0.7284    | 0.7319 | 0.7261 | 0.7319   |
+| 0.3966        | 1.2048 | 300  | 0.8576          | 0.7526    | 0.7530 | 0.7486 | 0.7530   |
+| 0.3115        | 1.6064 | 400  | 0.8358          | 0.7443    | 0.7450 | 0.7438 | 0.7450   |
 
 
 ### Framework versions

runs/Jun01_17-25-27_21398812d289/events.out.tfevents.1717263466.21398812d289.926.10

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