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seq2seq-imlla-test

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Add model, config, tokenizer, and custom code

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Nov13_09-42-59_c03ee522c2d7/events.out.tfevents.1731490980.c03ee522c2d7.380.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on the iva_mt_wslot dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 6.1444
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- - Bleu: 0.0738
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- - Gen Len: 6.655
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  ## Model description
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@@ -55,11 +55,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:-------:|
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- | 7.3851 | 0.9992 | 636 | 7.0694 | 0.0229 | 5.3686 |
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- | 6.537 | 2.0 | 1273 | 6.5403 | 0.0786 | 7.0747 |
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- | 6.1173 | 2.9992 | 1909 | 6.2891 | 0.0387 | 6.1529 |
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- | 5.924 | 4.0 | 2546 | 6.1793 | 0.0715 | 6.7137 |
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- | 5.7999 | 4.9961 | 3180 | 6.1444 | 0.0738 | 6.655 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on the iva_mt_wslot dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.0849
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+ - Bleu: 0.0032
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+ - Gen Len: 5.1554
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:-------:|
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+ | 7.3868 | 0.9992 | 636 | 7.0446 | 0.0 | 2.7952 |
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+ | 6.5132 | 2.0 | 1273 | 6.4775 | 0.0504 | 7.3246 |
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+ | 6.0691 | 2.9992 | 1909 | 6.2289 | 0.0007 | 3.6667 |
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+ | 5.8713 | 4.0 | 2546 | 6.1236 | 0.0096 | 6.216 |
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+ | 5.7608 | 4.9961 | 3180 | 6.0849 | 0.0032 | 5.1554 |
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  ### Framework versions
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