End of training

README.md

@@ -3,8 +3,6 @@ license: mit
 base_model: ad019el/m2m100_418M-finetuned-tq-to-ar
 tags:
 - generated_from_trainer
-metrics:
-- bleu
 model-index:
 - name: m2m100_418M-finetuned-tq-to-ar-1
   results: []
@@ -16,10 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # m2m100_418M-finetuned-tq-to-ar-1
 
 This model is a fine-tuned version of [ad019el/m2m100_418M-finetuned-tq-to-ar](https://huggingface.co/ad019el/m2m100_418M-finetuned-tq-to-ar) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.8441
-- Bleu: 3.821
-- Gen Len: 49.5575
 
 ## Model description
 
@@ -38,7 +32,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 2e-06
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -46,30 +40,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 15
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| 2.8942        | 1.0   | 656  | 2.8414          | 1.6225 | 58.6106 |
-| 2.6772        | 2.0   | 1312 | 2.7490          | 2.2047 | 44.1578 |
-| 2.4924        | 3.0   | 1968 | 2.7039          | 2.7562 | 44.6981 |
-| 2.1412        | 4.0   | 2624 | 2.6708          | 3.0804 | 45.4271 |
-| 1.9918        | 5.0   | 3280 | 2.6832          | 3.0172 | 50.8473 |
-| 1.8807        | 6.0   | 3936 | 2.6942          | 3.4001 | 49.6724 |
-| 1.656         | 7.0   | 4592 | 2.7209          | 3.939  | 45.3362 |
-| 1.5421        | 8.0   | 5248 | 2.7179          | 3.5743 | 47.6621 |
-| 1.4633        | 9.0   | 5904 | 2.7690          | 3.4372 | 51.1081 |
-| 1.3217        | 10.0  | 6560 | 2.7653          | 3.7244 | 49.8439 |
-| 1.2575        | 11.0  | 7216 | 2.7887          | 3.6186 | 49.3413 |
-| 1.1973        | 12.0  | 7872 | 2.8122          | 3.8069 | 49.3791 |
-| 1.1248        | 13.0  | 8528 | 2.8252          | 3.7416 | 48.4099 |
-| 1.0674        | 14.0  | 9184 | 2.8351          | 3.4472 | 49.9417 |
-| 1.0536        | 15.0  | 9840 | 2.8441          | 3.821  | 49.5575 |
-
-
 ### Framework versions
 
 - Transformers 4.32.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.4
+- Pytorch 2.0.0
+- Datasets 2.1.0
 - Tokenizers 0.13.3

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training_args.bin

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