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MarPla
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my_awesome_billsum_model

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

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/May31_10-19-45_9f70ec5e772d/events.out.tfevents.1717150786.9f70ec5e772d.35.0 +2 -2
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 [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5677
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- - Rouge1: 0.1372
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- - Rouge2: 0.0454
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- - Rougel: 0.1107
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- - Rougelsum: 0.1109
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- - Gen Len: 19.0
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  ## Model description
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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 | 62 | 2.8526 | 0.132 | 0.0394 | 0.1087 | 0.1086 | 19.0 |
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- | No log | 2.0 | 124 | 2.6453 | 0.135 | 0.0448 | 0.1095 | 0.1096 | 19.0 |
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- | No log | 3.0 | 186 | 2.5839 | 0.1376 | 0.0459 | 0.1107 | 0.111 | 19.0 |
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- | No log | 4.0 | 248 | 2.5677 | 0.1372 | 0.0454 | 0.1107 | 0.1109 | 19.0 |
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  ### Framework versions
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  - Transformers 4.41.1
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  - Pytorch 2.1.2
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- - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.7758
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+ - Rouge1: 0.0847
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+ - Rouge2: 0.026
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+ - Rougel: 0.069
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+ - Rougelsum: 0.0691
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+ - Gen Len: 18.9356
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 7.0515 | 1.0 | 775 | 5.9513 | 0.0782 | 0.0229 | 0.0637 | 0.0637 | 18.964 |
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+ | 6.0983 | 2.0 | 1550 | 5.8347 | 0.083 | 0.0254 | 0.0678 | 0.0679 | 18.9427 |
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+ | 6.0491 | 3.0 | 2325 | 5.7848 | 0.0853 | 0.0262 | 0.0697 | 0.0697 | 18.9273 |
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+ | 5.9983 | 4.0 | 3100 | 5.7758 | 0.0847 | 0.026 | 0.069 | 0.0691 | 18.9356 |
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  ### Framework versions
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  - Transformers 4.41.1
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  - Pytorch 2.1.2
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+ - Datasets 2.2.1
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  - Tokenizers 0.19.1
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