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t5-base-finetuned-xsum

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
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End of training

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -18,12 +18,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.9320
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- - Rouge1: 19.4342
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- - Rouge2: 3.1111
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- - Rougel: 15.4989
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- - Rougelsum: 16.1892
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- - Gen Len: 20.0
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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: 2e-05
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- - train_batch_size: 2
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- - eval_batch_size: 2
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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- | No log | 1.0 | 5 | 2.9732 | 19.536 | 3.1111 | 14.9596 | 16.2927 | 20.0 |
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- | No log | 2.0 | 10 | 2.9320 | 19.4342 | 3.1111 | 15.4989 | 16.1892 | 20.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2337
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+ - Rouge1: 24.3779
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+ - Rouge2: 4.0979
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+ - Rougel: 18.8773
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+ - Rougelsum: 18.8739
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+ - Gen Len: 19.3
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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: 0.0005
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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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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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+ | No log | 1.0 | 3 | 2.3551 | 23.7776 | 2.9006 | 17.5796 | 17.5488 | 20.0 |
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+ | No log | 2.0 | 6 | 2.2337 | 24.3779 | 4.0979 | 18.8773 | 18.8739 | 19.3 |
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  ### Framework versions
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