Model save

README.md

@@ -3,8 +3,6 @@ license: apache-2.0
 base_model: google-t5/t5-base
 tags:
 - generated_from_trainer
-metrics:
-- bleu
 model-index:
 - name: finetuned-t5-base-opus-books-Translation
   results: []
@@ -16,10 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # finetuned-t5-base-opus-books-Translation
 
 This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.1735
-- Bleu: 8.192
-- Gen Len: 17.4913
 
 ## Model description
 
@@ -38,24 +32,15 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 8e-05
-- train_batch_size: 48
-- eval_batch_size: 48
+- learning_rate: 0.0002
+- train_batch_size: 112
+- eval_batch_size: 112
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| 1.631         | 1.0   | 2383 | 1.2324          | 7.7383 | 17.4974 |
-| 1.2903        | 2.0   | 4766 | 1.1847          | 8.0455 | 17.4891 |
-| 1.3611        | 3.0   | 7149 | 1.1735          | 8.192  | 17.4913 |
-
-
 ### Framework versions
 
 - Transformers 4.38.2

model.safetensors

@@ -1,3 +1,3 @@
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