End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mul](https://huggingface.co/Helsinki-NLP/opus-mt-en-mul) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9507
-- Bleu: 40.5603
+- Loss: 1.0824
+- Bleu: 36.2350
 
 ## Model description
 
@@ -37,9 +37,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0003
 - train_batch_size: 32
-- eval_batch_size: 64
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7ddfc7c0941581ec742ca278b698535b5de1a7ec87fe0a88f6ce48851001ff35
+oid sha256:5de3091ea0e94d5de4389029d1a04b15abc1346089d65f4e64c8af69b5355488
 size 308136760

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bb895c41d5e3c880213434be06633c4ddc0059bb6c0ff06435227b02edef018c
-size 5112
+oid sha256:3b1fca902f356d00f7ea885fce53ab63a54a69687517f163c36baae546a65391
+size 5048