update model card README.md

README.md

@@ -1,26 +1,23 @@
 ---
 tags:
 - generated_from_trainer
+metrics:
+- bleu
 model-index:
-- name: M100M-zh-ja
+- name: M2M100-ja-zh
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# M100M-zh-ja
+# M2M100-ja-zh
 
-This model was trained from scratch on the None dataset.
+This model is a fine-tuned version of [Nekofox/M2M100-ja-zh](https://huggingface.co/Nekofox/M2M100-ja-zh) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.8243
-- eval_bleu: 25.4595
-- eval_gen_len: 19.6603
-- eval_runtime: 189.5332
-- eval_samples_per_second: 6.073
-- eval_steps_per_second: 0.675
-- epoch: 1.44
-- step: 3500
+- Loss: 1.6727
+- Bleu: 29.1635
+- Gen Len: 19.2263
 
 ## Model description
 
@@ -39,15 +36,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 9
-- eval_batch_size: 9
+- learning_rate: 4e-05
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_ratio: 0.07
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 1.743         | 1.0   | 14178 | 1.6727          | 29.1635 | 19.2263 |
+
+
 ### Framework versions
 
 - Transformers 4.28.1