End of training

README.md

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+---
+base_model: facebook/nllb-200-distilled-600M
+library_name: peft
+license: cc-by-nc-4.0
+metrics:
+- sacrebleu
+tags:
+- generated_from_trainer
+model-index:
+- name: nllb-peft-2-way-enta
+  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-peft-2-way-enta
+
+This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.6779
+- Sacrebleu: 14.6250
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Sacrebleu |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|
+| 6.7496        | 1.0   | 11250 | 6.6810          | 14.3659   |
+| 6.737         | 2.0   | 22500 | 6.6785          | 14.5979   |
+| 6.7405        | 3.0   | 33750 | 6.6779          | 14.6250   |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.45.0.dev0
+- Pytorch 2.1.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1