End of training

README.md

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+---
+license: cc-by-nc-4.0
+base_model: facebook/nllb-200-distilled-600M
+tags:
+- generated_from_trainer
+datasets:
+- nusatranslation_mt
+metrics:
+- sacrebleu
+model-index:
+- name: ind-to-bbc-nmt-v2
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: nusatranslation_mt
+      type: nusatranslation_mt
+      config: nusatranslation_mt_btk_ind_source
+      split: test
+      args: nusatranslation_mt_btk_ind_source
+    metrics:
+    - name: Sacrebleu
+      type: sacrebleu
+      value: 31.5851
+---
+
+<!-- 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. -->
+
+# ind-to-bbc-nmt-v2
+
+This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the nusatranslation_mt dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1713
+- Sacrebleu: 31.5851
+- Gen Len: 45.311
+
+## 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: 8
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 4.8114        | 1.0   | 825  | 1.4552          | 28.698    | 45.0965 |
+| 1.3328        | 2.0   | 1650 | 1.2516          | 30.4316   | 45.683  |
+| 1.163         | 3.0   | 2475 | 1.1934          | 30.9199   | 45.474  |
+| 0.9982        | 4.0   | 3300 | 1.1762          | 31.635    | 45.254  |
+| 0.9001        | 5.0   | 4125 | 1.1713          | 31.5851   | 45.311  |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.14.6
+- Tokenizers 0.19.1

generation_config.json

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+  "max_length": 200,
+  "push_to_hub": true,
+  "transformers_version": "4.41.2"
+}

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