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translation_model

Text2Text Generation
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  1. README.md +10 -19
  2. model.safetensors +1 -1
  3. runs/May07_06-56-08_366c39a864bc/events.out.tfevents.1715064971.366c39a864bc.1848.5 +2 -2
README.md CHANGED
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  ---
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- license: apache-2.0
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- base_model: drewcurran/translation_model
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,11 +13,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # translation_model
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- This model is a fine-tuned version of [drewcurran/translation_model](https://huggingface.co/drewcurran/translation_model) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9529
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- - Bleu: 1.2244
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- - Gen Len: 18.0659
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  ## Model description
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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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- - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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- | 2.5538 | 1.0 | 4674 | 2.2471 | 0.7389 | 18.1428 |
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- | 2.4606 | 2.0 | 9348 | 2.1615 | 0.8787 | 18.1105 |
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- | 2.3877 | 3.0 | 14022 | 2.0981 | 0.963 | 18.0917 |
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- | 2.3433 | 4.0 | 18696 | 2.0538 | 1.0353 | 18.0855 |
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- | 2.2914 | 5.0 | 23370 | 2.0186 | 1.0902 | 18.0692 |
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- | 2.2565 | 6.0 | 28044 | 1.9939 | 1.1566 | 18.0789 |
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- | 2.2539 | 7.0 | 32718 | 1.9756 | 1.1935 | 18.0686 |
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- | 2.2262 | 8.0 | 37392 | 1.9628 | 1.1998 | 18.0759 |
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- | 2.2097 | 9.0 | 42066 | 1.9556 | 1.2209 | 18.0706 |
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- | 2.2021 | 10.0 | 46740 | 1.9529 | 1.2244 | 18.0659 |
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  ### Framework versions
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  - Transformers 4.40.1
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- - Pytorch 2.3.0+cu121
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- - Datasets 2.19.0
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  - Tokenizers 0.19.1
 
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # translation_model
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+ This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8461
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+ - Bleu: 1.3828
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+ - Gen Len: 18.0112
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  ## Model description
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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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+ - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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+ | 2.1283 | 1.0 | 4674 | 1.8698 | 1.3343 | 18.024 |
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+ | 2.1211 | 2.0 | 9348 | 1.8516 | 1.3656 | 18.0194 |
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+ | 2.1063 | 3.0 | 14022 | 1.8461 | 1.3828 | 18.0112 |
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.40.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.1
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  - Tokenizers 0.19.1
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