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End of training

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  1. README.md +17 -17
  2. pytorch_model.bin +1 -1
README.md CHANGED
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  ---
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- license: apache-2.0
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- base_model: t5-small
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  tags:
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  - generated_from_trainer
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  metrics:
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  # my_summarize_vi
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4318
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- - Rouge1: 0.1529
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- - Rouge2: 0.0521
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- - Rougel: 0.1315
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- - Rougelsum: 0.1315
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- - Gen Len: 18.9997
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  ## Model description
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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: 16
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- - eval_batch_size: 16
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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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  ### 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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- | 1.6652 | 1.0 | 4195 | 1.5465 | 0.1466 | 0.0468 | 0.1246 | 0.1246 | 18.9991 |
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- | 1.5757 | 2.0 | 8390 | 1.4740 | 0.1509 | 0.0503 | 0.1291 | 0.1292 | 18.9997 |
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- | 1.5398 | 3.0 | 12585 | 1.4414 | 0.1524 | 0.0517 | 0.1306 | 0.1306 | 18.9997 |
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- | 1.5271 | 4.0 | 16780 | 1.4318 | 0.1529 | 0.0521 | 0.1315 | 0.1315 | 18.9997 |
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  ### Framework versions
 
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  ---
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+ license: mit
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+ base_model: VietAI/vit5-base-vietnews-summarization
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # my_summarize_vi
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+ This model is a fine-tuned version of [VietAI/vit5-base-vietnews-summarization](https://huggingface.co/VietAI/vit5-base-vietnews-summarization) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7072
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+ - Rouge1: 0.2541
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+ - Rouge2: 0.1945
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+ - Rougel: 0.2328
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+ - Rougelsum: 0.233
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+ - Gen Len: 19.0
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  ## Model description
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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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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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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+ | 1.0682 | 1.0 | 801 | 0.6850 | 0.252 | 0.1922 | 0.2305 | 0.2304 | 19.0 |
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+ | 0.7129 | 2.0 | 1602 | 0.6764 | 0.2515 | 0.1862 | 0.2273 | 0.2274 | 19.0 |
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+ | 0.5657 | 3.0 | 2403 | 0.6899 | 0.2553 | 0.1959 | 0.2334 | 0.2335 | 19.0 |
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+ | 0.4963 | 4.0 | 3204 | 0.7072 | 0.2541 | 0.1945 | 0.2328 | 0.233 | 19.0 |
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  ### Framework versions
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