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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_15-02-39_6f5dd144bc90/events.out.tfevents.1711119759.6f5dd144bc90.679.1 +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: 1.1086
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- - Rouge1: 0.4524
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- - Rouge2: 0.2784
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- - Rougel: 0.4139
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- - Rougelsum: 0.4127
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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 | 1.4667 | 0.3701 | 0.1753 | 0.3313 | 0.3302 |
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- | No log | 2.0 | 134 | 1.2361 | 0.4050 | 0.2154 | 0.3667 | 0.3662 |
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- | No log | 3.0 | 201 | 1.1369 | 0.4512 | 0.2739 | 0.3999 | 0.4001 |
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- | No log | 4.0 | 268 | 1.0996 | 0.4576 | 0.2916 | 0.4148 | 0.4137 |
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- | No log | 5.0 | 335 | 1.1086 | 0.4524 | 0.2784 | 0.4139 | 0.4127 |
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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: 1.3120
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+ - Rouge1: 0.5127
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+ - Rouge2: 0.3917
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+ - Rougel: 0.4804
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+ - Rougelsum: 0.4783
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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 | 1.1703 | 0.4657 | 0.2924 | 0.4199 | 0.4200 |
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+ | No log | 2.0 | 134 | 1.3029 | 0.4493 | 0.2930 | 0.4113 | 0.4126 |
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+ | No log | 3.0 | 201 | 1.3751 | 0.4845 | 0.3420 | 0.4384 | 0.4397 |
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+ | No log | 4.0 | 268 | 1.3721 | 0.5010 | 0.3939 | 0.4734 | 0.4749 |
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+ | No log | 5.0 | 335 | 1.3120 | 0.5127 | 0.3917 | 0.4804 | 0.4783 |
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  ### Framework versions
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