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Text2Text Generation
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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 +10 -10
  2. model.safetensors +1 -1
  3. runs/Mar22_15-19-57_6f5dd144bc90/events.out.tfevents.1711120797.6f5dd144bc90.679.3 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,11 +17,11 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6544
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- - Rouge1: 0.5040
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- - Rouge2: 0.3888
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- - Rougel: 0.4681
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- - Rougelsum: 0.4688
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | No log | 1.0 | 67 | 1.6344 | 0.4802 | 0.3349 | 0.4446 | 0.4452 |
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- | No log | 2.0 | 134 | 1.6795 | 0.5046 | 0.3737 | 0.4720 | 0.4728 |
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- | No log | 3.0 | 201 | 1.7262 | 0.5150 | 0.3987 | 0.4755 | 0.4758 |
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- | No log | 4.0 | 268 | 1.7593 | 0.5291 | 0.4078 | 0.4932 | 0.4966 |
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- | No log | 5.0 | 335 | 1.6544 | 0.5040 | 0.3888 | 0.4681 | 0.4688 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.9124
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+ - Rouge1: 0.5216
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+ - Rouge2: 0.4128
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+ - Rougel: 0.4922
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+ - Rougelsum: 0.4921
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | No log | 1.0 | 67 | 1.7935 | 0.4943 | 0.3583 | 0.4569 | 0.4571 |
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+ | No log | 2.0 | 134 | 1.8658 | 0.4965 | 0.3727 | 0.4638 | 0.4660 |
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+ | No log | 3.0 | 201 | 1.9759 | 0.5087 | 0.3890 | 0.4802 | 0.4787 |
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+ | No log | 4.0 | 268 | 1.9421 | 0.5115 | 0.4107 | 0.4907 | 0.4891 |
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+ | No log | 5.0 | 335 | 1.9124 | 0.5216 | 0.4128 | 0.4922 | 0.4921 |
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  ### Framework versions
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