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flan-t5-base-samsum

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
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  1. README.md +12 -10
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
 
 
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 47.4339
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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
@@ -32,10 +34,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3772
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- - Rouge1: 47.4339
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- - Rouge2: 23.9608
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- - Rougel: 40.0566
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- - Rougelsum: 43.6981
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  - Gen Len: 17.3162
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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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- | 1.4403 | 1.0 | 1842 | 1.3829 | 46.5338 | 23.1342 | 39.4468 | 42.8518 | 17.0977 |
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- | 1.3534 | 2.0 | 3684 | 1.3732 | 47.0913 | 23.5016 | 39.5941 | 43.238 | 17.4554 |
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- | 1.2795 | 3.0 | 5526 | 1.3709 | 46.8916 | 23.3226 | 39.5661 | 43.1582 | 17.2027 |
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- | 1.2313 | 4.0 | 7368 | 1.3736 | 47.441 | 23.7501 | 40.0446 | 43.6336 | 17.2198 |
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- | 1.1934 | 5.0 | 9210 | 1.3772 | 47.4339 | 23.9608 | 40.0566 | 43.6981 | 17.3162 |
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  ### Framework versions
 
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  ---
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+ language:
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+ - en
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 47.4798
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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 [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the samsum dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.3772
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+ - Rouge1: 47.4798
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+ - Rouge2: 23.9756
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+ - Rougel: 40.0392
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+ - Rougelsum: 43.6545
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  - Gen Len: 17.3162
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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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+ | 1.4403 | 1.0 | 1842 | 1.3829 | 46.5346 | 23.1326 | 39.4401 | 42.8272 | 17.0977 |
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+ | 1.3534 | 2.0 | 3684 | 1.3732 | 47.0911 | 23.5074 | 39.5951 | 43.2279 | 17.4554 |
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+ | 1.2795 | 3.0 | 5526 | 1.3709 | 46.8895 | 23.3243 | 39.5909 | 43.1286 | 17.2027 |
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+ | 1.2313 | 4.0 | 7368 | 1.3736 | 47.4946 | 23.7802 | 39.9999 | 43.5903 | 17.2198 |
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+ | 1.1934 | 5.0 | 9210 | 1.3772 | 47.4798 | 23.9756 | 40.0392 | 43.6545 | 17.3162 |
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  ### Framework versions
pytorch_model.bin CHANGED
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