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kepinsam
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bbc-to-ind-nmt-v1

Text2Text Generation
Transformers
PyTorch
m2m_100
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
kepinsam commited on
Commit
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1 Parent(s): 657a253

End of training

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Files changed (3) hide show
  1. README.md +9 -9
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Sacrebleu
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  type: sacrebleu
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- value: 38.2568
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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  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.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1374
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- - Sacrebleu: 38.2568
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- - Gen Len: 37.038
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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- | 1.3614 | 1.0 | 1650 | 1.2446 | 34.5237 | 37.422 |
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- | 1.084 | 2.0 | 3300 | 1.1432 | 36.815 | 36.943 |
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- | 0.9262 | 3.0 | 4950 | 1.1174 | 37.8117 | 37.5185 |
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- | 0.8112 | 4.0 | 6600 | 1.1249 | 38.2017 | 37.1395 |
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- | 0.7194 | 5.0 | 8250 | 1.1374 | 38.2568 | 37.038 |
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  ### Framework versions
 
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  metrics:
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  - name: Sacrebleu
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  type: sacrebleu
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+ value: 38.1114
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  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.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1353
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+ - Sacrebleu: 38.1114
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+ - Gen Len: 37.3265
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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+ | 1.36 | 1.0 | 1650 | 1.2432 | 34.4418 | 37.63 |
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+ | 1.0823 | 2.0 | 3300 | 1.1404 | 36.8766 | 37.312 |
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+ | 0.9761 | 3.0 | 4950 | 1.1281 | 37.9027 | 37.2895 |
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+ | 0.8241 | 4.0 | 6600 | 1.1267 | 38.1879 | 37.1395 |
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+ | 0.7579 | 5.0 | 8250 | 1.1353 | 38.1114 | 37.3265 |
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  ### Framework versions
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