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FLANT5_base

Text2Text Generation
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Safetensors
t5
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text-generation-inference
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End of training

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README.md CHANGED
@@ -19,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0872
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- - Bleu Score: 25.2243
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- - Precision: 6.2127
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- - Recall: 6.2127
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- - Gen Len: 18.8053
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- - Err: 6.2127
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  ## Model description
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@@ -49,15 +49,16 @@ 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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
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  |:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:------:|:-------:|:------:|
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- | 0.2 | 1.0 | 838 | 0.1229 | 24.1188 | 5.2569 | 5.2569 | 18.8076 | 5.2569 |
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- | 0.1099 | 2.0 | 1676 | 0.0951 | 24.7563 | 5.8542 | 5.8542 | 18.8017 | 5.8542 |
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- | 0.0841 | 3.0 | 2514 | 0.0872 | 25.2243 | 6.2127 | 6.2127 | 18.8053 | 6.2127 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0809
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+ - Bleu Score: 25.4116
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+ - Precision: 6.3321
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+ - Recall: 6.3321
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+ - Gen Len: 18.8124
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+ - Err: 6.3321
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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: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
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  |:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:------:|:-------:|:------:|
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+ | 0.2003 | 1.0 | 838 | 0.1201 | 24.1793 | 5.0179 | 5.0179 | 18.8017 | 5.0179 |
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+ | 0.11 | 2.0 | 1676 | 0.0926 | 24.8581 | 5.7348 | 5.7348 | 18.81 | 5.7348 |
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+ | 0.0832 | 3.0 | 2514 | 0.0833 | 25.3868 | 6.0932 | 6.0932 | 18.8136 | 6.0932 |
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+ | 0.0674 | 4.0 | 3352 | 0.0809 | 25.4116 | 6.3321 | 6.3321 | 18.8124 | 6.3321 |
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  ### Framework versions
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