Add model, config, and tokenizer

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: mit
-base_model: facebook/m2m100_418M
+base_model: facebook/m2m100_1.2B
 tags:
 - generated_from_trainer
 metrics:
@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # model_output
 
-This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
+This model is a fine-tuned version of [facebook/m2m100_1.2B](https://huggingface.co/facebook/m2m100_1.2B) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2806
-- Bleu: 89.9171
-- Gen Len: 35.906
+- Loss: 1.7263
+- Bleu: 93.9441
+- Gen Len: 36.358
 
 ## Model description
 
@@ -40,23 +40,28 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 64
+- total_train_batch_size: 128
 - optimizer: Use OptimizerNames.ADAFACTOR and the args are:
 No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 7
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|
-| 20.8291       | 1.0    | 76   | 3.8806          | 87.1845 | 35.44   |
-| 14.0408       | 1.9801 | 150  | 3.2806          | 89.9171 | 35.906  |
+| 23.051        | 1.0    | 38   | 4.3445          | 89.5045 | 35.746  |
+| 15.9099       | 2.0    | 76   | 3.5044          | 91.9617 | 36.366  |
+| 12.7846       | 3.0    | 114  | 2.8211          | 92.7676 | 36.22   |
+| 10.3083       | 4.0    | 152  | 2.3006          | 93.675  | 36.284  |
+| 8.4622        | 5.0    | 190  | 1.9316          | 93.6498 | 36.348  |
+| 7.3015        | 6.0    | 228  | 1.7263          | 93.9441 | 36.358  |
+| 6.8211        | 6.8212 | 259  | 1.6685          | 93.7274 | 36.306  |
 
 
 ### Framework versions