End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-ar
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: finetuned_helsinki_peft_model__en_to_ar
+  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. -->
+
+# finetuned_helsinki_peft_model__en_to_ar
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7705
+- Bleu: 26.8378
+- Gen Len: 13.5315
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- 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
+- lr_scheduler_warmup_steps: 500
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 2.1194        | 0.2   | 500   | 1.8368          | 26.7617 | 13.59   |
+| 1.9481        | 0.4   | 1000  | 1.8082          | 26.9303 | 13.562  |
+| 1.9398        | 0.6   | 1500  | 1.7980          | 26.9162 | 13.467  |
+| 1.9521        | 0.8   | 2000  | 1.7925          | 26.9365 | 13.5355 |
+| 1.9478        | 1.0   | 2500  | 1.7894          | 27.1345 | 13.5425 |
+| 1.9272        | 1.2   | 3000  | 1.7871          | 27.4766 | 13.501  |
+| 1.8803        | 1.4   | 3500  | 1.7809          | 27.106  | 13.5995 |
+| 1.911         | 1.6   | 4000  | 1.7781          | 27.1273 | 13.5465 |
+| 1.9052        | 1.8   | 4500  | 1.7756          | 26.9803 | 13.554  |
+| 1.9043        | 2.0   | 5000  | 1.7742          | 27.0919 | 13.5305 |
+| 1.8904        | 2.2   | 5500  | 1.7742          | 26.9754 | 13.4635 |
+| 1.8951        | 2.4   | 6000  | 1.7727          | 26.9621 | 13.529  |
+| 1.8741        | 2.6   | 6500  | 1.7727          | 26.991  | 13.4795 |
+| 1.9037        | 2.8   | 7000  | 1.7716          | 26.9663 | 13.5065 |
+| 1.8931        | 3.0   | 7500  | 1.7716          | 26.8411 | 13.54   |
+| 1.925         | 3.2   | 8000  | 1.7707          | 26.8684 | 13.5635 |
+| 1.8847        | 3.4   | 8500  | 1.7708          | 26.892  | 13.5185 |
+| 1.8693        | 3.6   | 9000  | 1.7706          | 26.8667 | 13.5075 |
+| 1.9089        | 3.8   | 9500  | 1.7705          | 26.8321 | 13.5285 |
+| 1.8638        | 4.0   | 10000 | 1.7705          | 26.8378 | 13.5315 |
+
+
+### Framework versions
+
+- PEFT 0.14.1.dev0
+- Transformers 4.47.1
+- Pytorch 2.5.1+cpu
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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