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Model save

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  1. README.md +6 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: nan
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- - Bleu: 0.0
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  - Accuracy: 0.0
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- - Gen Len: 0.0
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  ## Model description
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@@ -46,17 +46,15 @@ The following hyperparameters were used during training:
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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: 4
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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 | Accuracy | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:-------:|
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- | 1.8655 | 1.0 | 6250 | 1.4874 | 0.0001 | 0.0 | 18.9988 |
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- | 1.8508 | 2.0 | 12500 | 1.4878 | 0.0001 | 0.0 | 18.9988 |
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- | 1.8781 | 3.0 | 18750 | nan | 0.0 | 0.0 | 0.0 |
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- | 0.0 | 4.0 | 25000 | nan | 0.0 | 0.0 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8637
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+ - Bleu: 0.0001
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  - Accuracy: 0.0
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+ - Gen Len: 18.9988
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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: 2
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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 | Accuracy | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:-------:|
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+ | 1.17 | 1.0 | 6250 | 0.8994 | 0.0001 | 0.0 | 18.9988 |
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+ | 1.1297 | 2.0 | 12500 | 0.8637 | 0.0001 | 0.0 | 18.9988 |
 
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 891644712
 
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