End of training

README.md

@@ -19,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2580
-- Bleu Score: 79.3456
-- Precision: 57.4671
-- Recall: 57.4671
-- Gen Len: 12.7694
-- Err: 57.4671
+- Loss: 0.2324
+- Bleu Score: 79.5557
+- Precision: 100.0
+- Recall: 93.3333
+- Gen Len: 12.7969
+- Err: 56.9892
 
 ## Model description
 
@@ -43,9 +43,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall  | Gen Len | Err     |
 |:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:-------:|:-------:|:-------:|
-| 0.5544        | 1.0   | 838  | 0.2951          | 75.8053    | 45.9976   | 45.9976 | 12.6918 | 45.9976 |
-| 0.2306        | 2.0   | 1676 | 0.2519          | 77.9908    | 51.9713   | 51.9713 | 12.7515 | 51.9713 |
-| 0.1091        | 3.0   | 2514 | 0.2437          | 78.935     | 54.9582   | 54.9582 | 12.7778 | 54.9582 |
-| 0.0435        | 4.0   | 3352 | 0.2580          | 79.3456    | 57.4671   | 57.4671 | 12.7694 | 57.4671 |
+| 0.4672        | 1.0   | 419  | 0.2390          | 76.7871    | 100.0     | 100.0   | 12.8292 | 49.7013 |
+| 0.1742        | 2.0   | 838  | 0.2173          | 77.9698    | 100.0     | 93.3333 | 12.8076 | 54.0024 |
+| 0.0814        | 3.0   | 1257 | 0.2010          | 79.204     | 100.0     | 93.3333 | 12.7754 | 56.6308 |
+| 0.0382        | 4.0   | 1676 | 0.2324          | 79.5557    | 100.0     | 93.3333 | 12.7969 | 56.9892 |
 
 
 ### Framework versions

logs/events.out.tfevents.1728225137.8d8d39696e17.1574.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 7395
+oid sha256:cee3a453afdeaf01ba358626231603c1b3b6d798ca92dd76e13577a1498fb4c5
+size 8486