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flan-t5-base-samsum

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
Eval Results
Inference Endpoints
text-generation-inference
Model card Files Community
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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. tokenizer.json +6 -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: 47.4982
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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
@@ -32,12 +32,12 @@ 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: 1.3862
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- - Rouge1: 47.4982
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- - Rouge2: 23.7144
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- - Rougel: 39.9787
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- - Rougelsum: 43.7477
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- - Gen Len: 17.2173
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  ## Model description
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@@ -68,9 +68,9 @@ 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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- | 1.4686 | 1.0 | 921 | 1.3909 | 46.8104 | 23.135 | 39.2096 | 43.1889 | 17.1319 |
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- | 1.4032 | 2.0 | 1842 | 1.3862 | 47.4982 | 23.7144 | 39.9787 | 43.7477 | 17.2173 |
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- | 1.3721 | 3.0 | 2763 | 1.3829 | 47.1091 | 23.2884 | 39.5513 | 43.279 | 17.2210 |
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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: 47.2691
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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: 1.3868
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+ - Rouge1: 47.2691
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+ - Rouge2: 23.6137
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+ - Rougel: 39.7827
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+ - Rougelsum: 43.4916
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+ - Gen Len: 17.1758
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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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+ | 1.4686 | 1.0 | 921 | 1.3909 | 46.6849 | 23.039 | 39.0997 | 43.034 | 17.1062 |
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+ | 1.404 | 2.0 | 1842 | 1.3868 | 47.2691 | 23.6137 | 39.7827 | 43.4916 | 17.1758 |
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+ | 1.3736 | 3.0 | 2763 | 1.3845 | 47.0333 | 23.4655 | 39.5677 | 43.3879 | 17.2222 |
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  ### Framework versions
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