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: bbc-to-ind-nmt-v5
+  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: 38.4814
+---
+
+<!-- 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. -->
+
+# bbc-to-ind-nmt-v5
+
+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: 1.2310
+- Sacrebleu: 38.4814
+- Gen Len: 37.8455
+
+## 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: 4
+- 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Sacrebleu | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:-------:|
+| 3.4154        | 1.0   | 1650  | 1.2829          | 33.2857   | 37.9245 |
+| 1.1633        | 2.0   | 3300  | 1.1418          | 36.6342   | 37.407  |
+| 0.9377        | 3.0   | 4950  | 1.1148          | 38.0023   | 37.17   |
+| 0.795         | 4.0   | 6600  | 1.1197          | 38.2402   | 37.3695 |
+| 0.6827        | 5.0   | 8250  | 1.1465          | 38.3719   | 37.315  |
+| 0.5937        | 6.0   | 9900  | 1.1642          | 38.3424   | 37.547  |
+| 0.5216        | 7.0   | 11550 | 1.1917          | 38.56     | 37.8515 |
+| 0.466         | 8.0   | 13200 | 1.2079          | 38.6061   | 37.6135 |
+| 0.425         | 9.0   | 14850 | 1.2228          | 38.4918   | 37.928  |
+| 0.3995        | 10.0  | 16500 | 1.2310          | 38.4814   | 37.8455 |
+
+
+### 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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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 200,
+  "pad_token_id": 1,
+  "transformers_version": "4.41.2"
+}

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