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Timpasc
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t5-base-article

Text2Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Apr23_12-27-29_af874b8be047/events.out.tfevents.1713875269.af874b8be047.192.2 +2 -2
  4. runs/Apr23_12-27-29_af874b8be047/events.out.tfevents.1713877654.af874b8be047.192.3 +3 -0
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2739
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- - Rouge1: 40.1703
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- - Rouge2: 22.999
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- - Rougel: 35.3466
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- - Rougelsum: 37.9002
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  ## Model description
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@@ -40,7 +40,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5.6e-05
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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- | 1.3759 | 1.0 | 3760 | 1.2739 | 40.1703 | 22.999 | 35.3466 | 37.9002 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3307
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+ - Rouge1: 40.0705
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+ - Rouge2: 22.7609
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+ - Rougel: 35.0609
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+ - Rougelsum: 37.7521
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5.6e-06
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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+ | 1.0175 | 1.0 | 3760 | 1.3307 | 40.0705 | 22.7609 | 35.0609 | 37.7521 |
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  ### Framework versions
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