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TusharsinghBaghel
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software_lab_billsum_model

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End of training

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Dec04_06-14-51_ec138d39eaff/events.out.tfevents.1701670497.ec138d39eaff.2007.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 0.196
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,11 +32,11 @@ 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 the billsum dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3275
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- - Rouge1: 0.196
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- - Rouge2: 0.0975
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- - Rougel: 0.1684
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- - Rougelsum: 0.1683
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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 | 2.3972 | 0.1657 | 0.0697 | 0.1393 | 0.1392 | 19.0 |
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- | No log | 2.0 | 124 | 2.3572 | 0.1885 | 0.0892 | 0.1599 | 0.16 | 19.0 |
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- | No log | 3.0 | 186 | 2.3345 | 0.1944 | 0.0961 | 0.1667 | 0.1665 | 19.0 |
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- | No log | 4.0 | 248 | 2.3275 | 0.196 | 0.0975 | 0.1684 | 0.1683 | 19.0 |
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  ### Framework versions
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 0.1422
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.5173
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+ - Rouge1: 0.1422
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+ - Rouge2: 0.0516
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+ - Rougel: 0.1174
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+ - Rougelsum: 0.1175
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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 | 2.8088 | 0.1242 | 0.034 | 0.1027 | 0.1028 | 19.0 |
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+ | No log | 2.0 | 124 | 2.6031 | 0.1335 | 0.0437 | 0.1112 | 0.1113 | 19.0 |
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+ | No log | 3.0 | 186 | 2.5356 | 0.1394 | 0.0487 | 0.115 | 0.1149 | 19.0 |
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+ | No log | 4.0 | 248 | 2.5173 | 0.1422 | 0.0516 | 0.1174 | 0.1175 | 19.0 |
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  ### Framework versions
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