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-v7
+  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: 38.1839
+---
+
+<!-- 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-v7
+
+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: 1.1540
+- Sacrebleu: 38.1839
+- Gen Len: 37.279
+
+## 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: 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 5.0915        | 1.0   | 413  | 2.2849          | 27.9598   | 38.462  |
+| 1.483         | 2.0   | 826  | 1.2052          | 35.2398   | 37.6305 |
+| 1.0733        | 3.0   | 1239 | 1.1450          | 36.4283   | 37.133  |
+| 0.9415        | 4.0   | 1652 | 1.1232          | 37.7264   | 37.198  |
+| 0.8558        | 5.0   | 2065 | 1.1231          | 37.9682   | 37.399  |
+| 0.7867        | 6.0   | 2478 | 1.1286          | 38.272    | 37.4305 |
+| 0.736         | 7.0   | 2891 | 1.1343          | 38.0986   | 37.31   |
+| 0.696         | 8.0   | 3304 | 1.1416          | 38.2159   | 37.219  |
+| 0.6674        | 9.0   | 3717 | 1.1494          | 38.2257   | 37.307  |
+| 0.6488        | 10.0  | 4130 | 1.1540          | 38.1839   | 37.279  |
+
+
+### 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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runs/Jul13_02-33-56_f5c57b96700c/events.out.tfevents.1720838041.f5c57b96700c.538.0

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