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yihongwang
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my_billsum_model

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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  1. README.md +16 -10
README.md CHANGED
@@ -18,11 +18,11 @@ 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: 2.5593
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- - Rouge1: 0.1425
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- - Rouge2: 0.053
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- - Rougel: 0.1186
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- - Rougelsum: 0.1188
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  - Gen Len: 19.0
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  ## Model description
@@ -48,17 +48,23 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 4
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  - mixed_precision_training: Native AMP
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  ### Training results
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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 | 2.8332 | 0.1229 | 0.0373 | 0.0996 | 0.0997 | 19.0 |
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- | No log | 2.0 | 124 | 2.6310 | 0.1338 | 0.0456 | 0.1099 | 0.1099 | 19.0 |
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- | No log | 3.0 | 186 | 2.5732 | 0.139 | 0.0496 | 0.1156 | 0.1157 | 19.0 |
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- | No log | 4.0 | 248 | 2.5593 | 0.1425 | 0.053 | 0.1186 | 0.1188 | 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: 2.3699
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+ - Rouge1: 0.1958
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+ - Rouge2: 0.0949
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+ - Rougel: 0.167
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+ - Rougelsum: 0.167
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  - Gen Len: 19.0
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  ## Model description
 
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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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 | 2.7958 | 0.1228 | 0.0386 | 0.0997 | 0.1 | 19.0 |
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+ | No log | 2.0 | 124 | 2.5846 | 0.1385 | 0.047 | 0.1139 | 0.114 | 19.0 |
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+ | No log | 3.0 | 186 | 2.5034 | 0.1506 | 0.0563 | 0.1232 | 0.1234 | 19.0 |
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+ | No log | 4.0 | 248 | 2.4548 | 0.1734 | 0.0756 | 0.1467 | 0.1468 | 19.0 |
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+ | No log | 5.0 | 310 | 2.4231 | 0.1893 | 0.0877 | 0.1597 | 0.1597 | 19.0 |
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+ | No log | 6.0 | 372 | 2.3991 | 0.1926 | 0.0913 | 0.1638 | 0.1638 | 19.0 |
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+ | No log | 7.0 | 434 | 2.3862 | 0.1945 | 0.0944 | 0.166 | 0.166 | 19.0 |
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+ | No log | 8.0 | 496 | 2.3764 | 0.195 | 0.094 | 0.1662 | 0.1663 | 19.0 |
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+ | 2.7718 | 9.0 | 558 | 2.3714 | 0.1959 | 0.0952 | 0.1672 | 0.1672 | 19.0 |
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+ | 2.7718 | 10.0 | 620 | 2.3699 | 0.1958 | 0.0949 | 0.167 | 0.167 | 19.0 |
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  ### Framework versions