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acrowth
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touring2

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
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  1. README.md +16 -13
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,12 +16,12 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8345
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- - Rouge1: 31.1956
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- - Rouge2: 3.519
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- - Rougel: 30.9876
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- - Rougelsum: 31.0581
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- - Gen Len: 7.6887
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  ## Model description
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@@ -41,19 +41,22 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 2
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  ### Training results
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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 | 292 | 2.8988 | 30.2013 | 3.6434 | 30.0162 | 30.1004 | 7.6261 |
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- | 3.3994 | 2.0 | 584 | 2.8345 | 31.1956 | 3.519 | 30.9876 | 31.0581 | 7.6887 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.4042
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+ - Rouge1: 60.0314
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+ - Rouge2: 42.51
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+ - Rougel: 59.8461
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+ - Rougelsum: 59.6885
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+ - Gen Len: 9.6526
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 5
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 1.6599 | 1.0 | 1249 | 1.4452 | 52.1368 | 34.9356 | 51.6433 | 51.7033 | 9.4643 |
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+ | 1.2659 | 2.0 | 2498 | 1.4013 | 53.5023 | 35.6721 | 53.0881 | 53.1954 | 9.6526 |
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+ | 1.1027 | 3.0 | 3747 | 1.3475 | 59.004 | 41.5484 | 58.8625 | 58.785 | 9.6818 |
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+ | 0.9453 | 4.0 | 4996 | 1.3966 | 58.5942 | 40.7989 | 58.3943 | 58.3703 | 9.7516 |
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+ | 0.9083 | 5.0 | 6245 | 1.4042 | 60.0314 | 42.51 | 59.8461 | 59.6885 | 9.6526 |
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  ### Framework versions
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