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tvganesh
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test_trainer

Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files
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Community
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tvganesh commited on
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End of training

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Files changed (3) hide show
  1. README.md +10 -10
  2. pytorch_model.bin +1 -1
  3. 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: 0.144
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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: 2.5391
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- - Rouge1: 0.144
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- - Rouge2: 0.0521
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- - Rougel: 0.1207
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- - Rougelsum: 0.1208
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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 | 2.8315 | 0.1245 | 0.0353 | 0.1064 | 0.1063 | 19.0 |
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- | No log | 2.0 | 124 | 2.6198 | 0.1381 | 0.0455 | 0.1163 | 0.1164 | 19.0 |
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- | No log | 3.0 | 186 | 2.5555 | 0.1442 | 0.0513 | 0.1205 | 0.1206 | 19.0 |
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- | No log | 4.0 | 248 | 2.5391 | 0.144 | 0.0521 | 0.1207 | 0.1208 | 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: 0.1416
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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: 2.5392
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+ - Rouge1: 0.1416
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+ - Rouge2: 0.0487
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+ - Rougel: 0.1147
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+ - Rougelsum: 0.1146
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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 | 2.8306 | 0.1276 | 0.0376 | 0.1061 | 0.1064 | 19.0 |
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+ | No log | 2.0 | 124 | 2.6198 | 0.1367 | 0.0468 | 0.1118 | 0.1117 | 19.0 |
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+ | No log | 3.0 | 186 | 2.5563 | 0.1409 | 0.0488 | 0.1144 | 0.1145 | 19.0 |
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+ | No log | 4.0 | 248 | 2.5392 | 0.1416 | 0.0487 | 0.1147 | 0.1146 | 19.0 |
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  ### Framework versions
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