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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/May31_08-30-41_d06f44e9b057/events.out.tfevents.1717144248.d06f44e9b057.34.0 +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-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6490
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- - Rouge1: 0.4530
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- - Rouge2: 0.2185
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- - Rougel: 0.3802
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- - Rougelsum: 0.4180
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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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- | 1.9429 | 1.0 | 737 | 1.6596 | 0.4274 | 0.1939 | 0.3583 | 0.3931 |
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- | 1.753 | 2.0 | 1474 | 1.6199 | 0.4373 | 0.2077 | 0.3693 | 0.4057 |
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- | 1.4155 | 3.0 | 2211 | 1.6054 | 0.4510 | 0.2129 | 0.3781 | 0.4148 |
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- | 1.3309 | 4.0 | 2948 | 1.6260 | 0.4520 | 0.2165 | 0.3795 | 0.4176 |
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- | 1.1438 | 5.0 | 3685 | 1.6490 | 0.4530 | 0.2185 | 0.3802 | 0.4180 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8220
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+ - Rouge1: 0.3088
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+ - Rouge2: 0.2493
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+ - Rougel: 0.2955
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+ - Rougelsum: 0.3043
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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 | 223 | 0.9906 | 0.2907 | 0.2130 | 0.2741 | 0.2837 |
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+ | No log | 2.0 | 446 | 0.8959 | 0.3038 | 0.2387 | 0.2894 | 0.2988 |
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+ | 1.163 | 3.0 | 669 | 0.8509 | 0.3059 | 0.2432 | 0.2924 | 0.3013 |
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+ | 1.163 | 4.0 | 892 | 0.8264 | 0.3095 | 0.2497 | 0.2964 | 0.3051 |
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+ | 0.8071 | 5.0 | 1115 | 0.8220 | 0.3088 | 0.2493 | 0.2955 | 0.3043 |
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  ### Framework versions
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