Model save

README.md

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+---
+library_name: peft
+license: cc-by-nc-4.0
+base_model: facebook/nllb-200-1.3B
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: nllb-200-1.3B-finetuned-wo-to-fr
+  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. -->
+
+# nllb-200-1.3B-finetuned-wo-to-fr
+
+This model is a fine-tuned version of [facebook/nllb-200-1.3B](https://huggingface.co/facebook/nllb-200-1.3B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.8851
+- Bleu: 8.4665
+- Gen Len: 39.1999
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:------:|:----:|:---------------:|:------:|:-------:|
+| 9.3638        | 1.1013 | 500  | 7.2226          | 3.3191 | 40.0655 |
+| 7.1022        | 2.2026 | 1000 | 6.8851          | 8.4665 | 39.1999 |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.20.3

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