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EngLip
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flan-t5-sentence-generator

Text2Text Generation
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PyTorch
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Safetensors
t5
Generated from Trainer
text-generation-inference
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End of training

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  1. README.md +14 -12
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ 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: 0.2302
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- - Rouge1: 92.8743
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- - Rouge2: 82.8696
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- - Rougel: 92.8142
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- - Rougelsum: 92.7848
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- - Gen Len: 11.7872
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  ## Model description
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@@ -47,17 +47,19 @@ 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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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- | No log | 1.0 | 29 | 0.4209 | 88.7355 | 76.0013 | 88.1753 | 88.1831 | 11.1064 |
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- | No log | 2.0 | 58 | 0.2927 | 91.7578 | 80.5014 | 91.687 | 91.6857 | 11.6809 |
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- | No log | 3.0 | 87 | 0.2469 | 92.2057 | 80.5314 | 91.6514 | 91.653 | 11.6596 |
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- | No log | 4.0 | 116 | 0.2326 | 92.6604 | 82.6117 | 92.6531 | 92.6173 | 11.7447 |
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- | No log | 5.0 | 145 | 0.2302 | 92.8743 | 82.8696 | 92.8142 | 92.7848 | 11.7872 |
 
 
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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: 0.3060
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+ - Rouge1: 92.062
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+ - Rouge2: 82.484
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+ - Rougel: 92.0811
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+ - Rougelsum: 92.0375
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+ - Gen Len: 11.7660
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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: 7
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | No log | 1.0 | 12 | 0.6630 | 83.4066 | 64.3083 | 82.5043 | 82.5083 | 11.2340 |
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+ | No log | 2.0 | 24 | 0.4834 | 86.5102 | 71.5482 | 85.7563 | 85.7383 | 11.0 |
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+ | No log | 3.0 | 36 | 0.3975 | 89.043 | 76.268 | 88.5766 | 88.5892 | 11.1915 |
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+ | No log | 4.0 | 48 | 0.3501 | 91.4099 | 81.232 | 91.1413 | 91.16 | 11.4894 |
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+ | No log | 5.0 | 60 | 0.3244 | 91.7313 | 81.2848 | 91.4624 | 91.4662 | 11.6596 |
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+ | No log | 6.0 | 72 | 0.3102 | 91.9566 | 82.1166 | 91.9653 | 91.9449 | 11.7872 |
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+ | No log | 7.0 | 84 | 0.3060 | 92.062 | 82.484 | 92.0811 | 92.0375 | 11.7660 |
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  ### Framework versions
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