duwuonline
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End of training
Browse files- README.md +17 -17
- pytorch_model.bin +1 -1
README.md
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---
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license:
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base_model:
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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 [
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It achieves the following results on the evaluation set:
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- Loss:
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- Rouge1: 0.
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- Rouge2: 0.
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- Rougel: 0.
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- Rougelsum: 0.
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- Gen Len:
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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:
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- eval_batch_size:
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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
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| 1.
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### Framework versions
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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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pytorch_model.bin
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