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flan-t5-subjective

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t5
text2text-generation
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text-generation-inference
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  1. README.md +6 -6
  2. logs/events.out.tfevents.1690208040.Emilia88.92565.0 +2 -2
  3. pytorch_model.bin +1 -1
README.md CHANGED
@@ -5,19 +5,19 @@ tags:
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  metrics:
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  - rouge
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  model-index:
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- - name: flan-t5-subjective
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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- # flan-t5-subjective
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  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0394
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- - Rouge1: 97.7372
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  - Rouge2: 0.0
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  - Rougel: 97.6501
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  - Rougelsum: 97.6501
@@ -56,9 +56,9 @@ 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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- | 0.1703 | 1.0 | 1149 | 0.0849 | 96.2576 | 0.0 | 96.3446 | 96.2576 | 2.0026 |
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- | 0.066 | 2.0 | 2298 | 0.0629 | 96.9539 | 0.0 | 96.9539 | 96.9539 | 2.0026 |
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- | 0.0496 | 3.0 | 3447 | 0.0394 | 97.7372 | 0.0 | 97.6501 | 97.6501 | 2.0026 |
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  ### Framework versions
 
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  metrics:
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  - rouge
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  model-index:
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+ - name: flan-t5-large
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # flan-t5-large
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  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0394
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+ - Rouge1: 97.6501
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  - Rouge2: 0.0
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  - Rougel: 97.6501
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  - Rougelsum: 97.6501
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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+ | 0.1703 | 1.0 | 1149 | 0.0849 | 96.2576 | 0.0 | 96.2576 | 96.2576 | 2.0026 |
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+ | 0.066 | 2.0 | 2298 | 0.0629 | 96.9539 | 0.0 | 96.9539 | 97.0409 | 2.0026 |
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+ | 0.0496 | 3.0 | 3447 | 0.0394 | 97.6501 | 0.0 | 97.6501 | 97.6501 | 2.0026 |
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  ### Framework versions
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