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: 1.1340
-- Bleu: 8.4165
-- Gen Len: 17.5384
 
 ## Model description
 
@@ -38,24 +32,15 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 112
-- eval_batch_size: 112
+- learning_rate: 2e-05
+- train_batch_size: 128
+- eval_batch_size: 128
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| 1.3674        | 1.0   | 1022 | 1.1948          | 7.8489 | 17.5246 |
-| 1.3687        | 2.0   | 2044 | 1.1482          | 8.2967 | 17.5249 |
-| 1.1273        | 3.0   | 3066 | 1.1340          | 8.4165 | 17.5384 |
-
-
 ### Framework versions
 
 - Transformers 4.38.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4da22aa35f2e01ed9a32afb45e92d2770275b9a6228bc34e4288babf80c560d
+oid sha256:6ba5b2a1df8317f52a631eb75f24ae1c53aba35034d26f5ba24f3a85ce01e15b
 size 891644712