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/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3211
-- Bleu Score: 48.8286
-- Gen Len: 16.8423
+- Loss: 0.4030
+- Bleu Score: 45.1405
+- Gen Len: 16.8196
 
 ## Model description
 
@@ -38,8 +38,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 2
-- eval_batch_size: 2
+- 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
@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Bleu Score | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:----------:|:-------:|
-| 2.4292        | 1.0   | 3349  | 0.4501          | 45.5394    | 16.8363 |
-| 0.5249        | 2.0   | 6698  | 0.3453          | 48.2109    | 16.8315 |
-| 0.4109        | 3.0   | 10047 | 0.3211          | 48.8286    | 16.8423 |
+| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
+| 2.8374        | 1.0   | 838  | 0.5595          | 41.3763    | 16.7802 |
+| 0.7564        | 2.0   | 1676 | 0.4503          | 44.4878    | 16.8124 |
+| 0.6103        | 3.0   | 2514 | 0.4030          | 45.1405    | 16.8196 |
 
 
 ### Framework versions

logs/events.out.tfevents.1731686437.e7a466c1d5eb.457.0

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