Model save

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: Helsinki-NLP/opus-mt-ja-en
 tags:
@@ -17,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6632
-- Bleu: 0.3309
-- Chrf: 65.6928
+- Loss: 1.6714
+- Bleu: 0.3300
+- Chrf: 64.8493
 
 ## Model description
 
@@ -42,7 +43,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- 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
 - num_epochs: 3
 
@@ -50,14 +51,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu   | Chrf    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| No log        | 1.0   | 23   | 1.7526          | 0.3133 | 64.6743 |
-| No log        | 2.0   | 46   | 1.6831          | 0.3396 | 66.1705 |
-| No log        | 3.0   | 69   | 1.6632          | 0.3309 | 65.6928 |
+| No log        | 1.0   | 23   | 1.7593          | 0.3283 | 64.8523 |
+| No log        | 2.0   | 46   | 1.6915          | 0.3260 | 64.6705 |
+| No log        | 3.0   | 69   | 1.6714          | 0.3300 | 64.8493 |
 
 
 ### Framework versions
 
-- Transformers 4.31.0
+- Transformers 4.51.3
 - Pytorch 2.6.0
 - Datasets 3.5.0
-- Tokenizers 0.13.3
+- Tokenizers 0.21.1

generation_config.json

@@ -12,5 +12,5 @@
   "num_beams": 6,
   "pad_token_id": 60715,
   "renormalize_logits": true,
-  "transformers_version": "4.31.0"
+  "transformers_version": "4.51.3"
 }