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my_fine_tuning_billsum_model_hf

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text2text-generation
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text-generation-inference
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End of training

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Files changed (4) hide show
  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Feb20_09-54-02_ubuntu/events.out.tfevents.1708397644.ubuntu.22848.0 +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-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.4424
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- - Rouge1: 0.1716
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- - Rouge2: 0.073
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- - Rougel: 0.1437
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- - Rougelsum: 0.1436
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  - Gen Len: 19.0
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  ## Model description
@@ -54,10 +54,10 @@ The following hyperparameters were used during training:
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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 | 124 | 2.6432 | 0.1316 | 0.0411 | 0.1082 | 0.1081 | 19.0 |
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- | No log | 2.0 | 248 | 2.5047 | 0.1449 | 0.0492 | 0.1182 | 0.1177 | 19.0 |
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- | No log | 3.0 | 372 | 2.4565 | 0.1663 | 0.0678 | 0.1381 | 0.138 | 19.0 |
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- | No log | 4.0 | 496 | 2.4424 | 0.1716 | 0.073 | 0.1437 | 0.1436 | 19.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.4322
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+ - Rouge1: 0.1736
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+ - Rouge2: 0.0757
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+ - Rougel: 0.1462
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+ - Rougelsum: 0.1461
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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 | 124 | 2.6266 | 0.1278 | 0.0413 | 0.1075 | 0.1076 | 19.0 |
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+ | No log | 2.0 | 248 | 2.4912 | 0.1468 | 0.0534 | 0.122 | 0.1218 | 19.0 |
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+ | No log | 3.0 | 372 | 2.4453 | 0.1663 | 0.0702 | 0.1393 | 0.1393 | 19.0 |
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+ | No log | 4.0 | 496 | 2.4322 | 0.1736 | 0.0757 | 0.1462 | 0.1461 | 19.0 |
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  ### Framework versions
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