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doktan
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my_awesome_billsum_model

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End of training

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Mar22_19-17-27_DESKTOP-2U4BJQD/events.out.tfevents.1711124247.DESKTOP-2U4BJQD.32456.1 +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 [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: 2.5291
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- - Rouge1: 0.1405
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- - Rouge2: 0.0474
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- - Rougel: 0.116
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- - Rougelsum: 0.1161
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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 | 2.8269 | 0.1252 | 0.0354 | 0.1044 | 0.1046 | 19.0 |
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- | No log | 2.0 | 124 | 2.6115 | 0.1344 | 0.0443 | 0.1112 | 0.1114 | 19.0 |
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- | No log | 3.0 | 186 | 2.5467 | 0.1396 | 0.0485 | 0.1155 | 0.1155 | 19.0 |
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- | No log | 4.0 | 248 | 2.5291 | 0.1405 | 0.0474 | 0.116 | 0.1161 | 19.0 |
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  ### Framework versions
 
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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: 2.5608
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+ - Rouge1: 0.1428
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+ - Rouge2: 0.0514
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+ - Rougel: 0.115
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+ - Rougelsum: 0.1151
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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 | 58 | 2.8817 | 0.1265 | 0.0378 | 0.1053 | 0.1054 | 19.0 |
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+ | No log | 2.0 | 116 | 2.6423 | 0.1371 | 0.0476 | 0.111 | 0.1112 | 19.0 |
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+ | No log | 3.0 | 174 | 2.5791 | 0.1407 | 0.0509 | 0.1143 | 0.1145 | 19.0 |
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+ | No log | 4.0 | 232 | 2.5608 | 0.1428 | 0.0514 | 0.115 | 0.1151 | 19.0 |
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  ### Framework versions
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