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Seba213
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flan-t5-base-samsum

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t5
text2text-generation
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text-generation-inference
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End of training

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Files changed (4) hide show
  1. README.md +8 -8
  2. logs/events.out.tfevents.1720289711.087ef5761dd7.169.0 +3 -0
  3. logs/events.out.tfevents.1720298111.087ef5761dd7.169.1 +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: 48.5717
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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
@@ -33,10 +33,10 @@ 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: 1.3743
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- - Rouge1: 48.5717
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- - Rouge2: 24.9633
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- - Rougel: 39.1532
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- - Rougelsum: 45.0174
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  - Gen Len: 36.8362
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  ## Model description
@@ -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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- | 1.452 | 1.0 | 1842 | 1.3851 | 48.5682 | 25.1167 | 39.2504 | 45.1912 | 36.8753 |
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- | 1.3402 | 2.0 | 3684 | 1.3743 | 48.5717 | 24.9633 | 39.1532 | 45.0174 | 36.8362 |
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- | 1.2928 | 3.0 | 5526 | 1.3748 | 48.7401 | 25.0144 | 39.1959 | 45.1242 | 36.9438 |
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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: 48.562
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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: 1.3743
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+ - Rouge1: 48.562
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+ - Rouge2: 25.0327
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+ - Rougel: 39.1235
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+ - Rougelsum: 45.0049
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  - Gen Len: 36.8362
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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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+ | 1.4116 | 1.0 | 1842 | 1.3851 | 48.539 | 25.203 | 39.2261 | 45.201 | 36.8753 |
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+ | 1.3387 | 2.0 | 3684 | 1.3743 | 48.562 | 25.0327 | 39.1235 | 45.0049 | 36.8362 |
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+ | 1.3189 | 3.0 | 5526 | 1.3748 | 48.7279 | 25.0598 | 39.1658 | 45.1284 | 36.9438 |
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  ### Framework versions
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