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kepinsam
/
ind-to-bbc-nmt-v1

Text2Text Generation
Transformers
PyTorch
m2m_100
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
kepinsam commited on
Commit
917a964
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1 Parent(s): e190a5c

End of training

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Files changed (2) hide show
  1. README.md +10 -10
  2. pytorch_model.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: 31.8044
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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: 1.1474
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- - Sacrebleu: 31.8044
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- - Gen Len: 45.2525
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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  - train_batch_size: 4
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  | Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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- | 1.6014 | 1.0 | 1650 | 1.3826 | 29.3368 | 45.439 |
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- | 1.2189 | 2.0 | 3300 | 1.2135 | 31.2236 | 45.2075 |
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- | 1.0274 | 3.0 | 4950 | 1.1556 | 30.8443 | 45.661 |
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- | 0.8923 | 4.0 | 6600 | 1.1471 | 31.6079 | 45.1555 |
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- | 0.8094 | 5.0 | 8250 | 1.1474 | 31.8044 | 45.2525 |
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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: 31.4299
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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: 1.1479
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+ - Sacrebleu: 31.4299
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+ - Gen Len: 45.1465
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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  - train_batch_size: 4
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+ - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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+ | 1.6013 | 1.0 | 1650 | 1.3829 | 29.312 | 45.592 |
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+ | 1.2324 | 2.0 | 3300 | 1.2091 | 30.6403 | 45.6005 |
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+ | 1.0217 | 3.0 | 4950 | 1.1552 | 31.428 | 45.0845 |
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+ | 0.8984 | 4.0 | 6600 | 1.1470 | 31.4125 | 45.365 |
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+ | 0.8012 | 5.0 | 8250 | 1.1479 | 31.4299 | 45.1465 |
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  ### Framework versions
pytorch_model.bin CHANGED
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