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ViT5_Dialogue_Summarization

Text2Text Generation
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t5
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End of training

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Files changed (8) hide show
  1. README.md +13 -15
  2. logs/events.out.tfevents.1711099495.5da5938990cd.1513.0 +3 -0
  3. logs/events.out.tfevents.1711099590.5da5938990cd.4571.0 +3 -0
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  5. logs/events.out.tfevents.1711105019.5da5938990cd.5456.1 +3 -0
  6. model.safetensors +1 -1
  7. tokenizer.json +1 -6
  8. training_args.bin +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6228
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- - Rouge1: 52.8317
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- - Rouge2: 29.8327
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- - Rougel: 41.7287
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- - Rougelsum: 46.3648
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- - Gen Len: 16.8071
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  ## Model description
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@@ -42,25 +42,23 @@ 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: 3
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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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- | 1.8522 | 1.0 | 3683 | 1.6994 | 52.1383 | 28.4438 | 41.2886 | 45.7379 | 16.6484 |
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- | 1.496 | 2.0 | 7366 | 1.6228 | 52.8317 | 29.8327 | 41.7287 | 46.3648 | 16.8071 |
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- | 1.1959 | 3.0 | 11049 | 1.6419 | 53.6738 | 30.2857 | 42.5458 | 47.2315 | 16.906 |
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  ### Framework versions
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  - Transformers 4.38.2
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- - Pytorch 2.1.0+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6377
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+ - Rouge1: 51.4583
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+ - Rouge2: 28.5387
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+ - Rougel: 40.9957
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+ - Rougelsum: 45.4297
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+ - Gen Len: 16.1661
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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: 2
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+ - eval_batch_size: 2
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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: 1
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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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+ | 0.5898 | 1.0 | 7366 | 0.6377 | 51.4583 | 28.5387 | 40.9957 | 45.4297 | 16.1661 |
 
 
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  ### Framework versions
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  - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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  - Tokenizers 0.15.2
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