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End of training

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  1. README.md +66 -0
  2. generation_config.json +7 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: VietAI/vit5-large-vietnews-summarization
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: mymodel_larger_vietnews_30k_2e5_3epoch_batchsize4
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # mymodel_larger_vietnews_30k_2e5_3epoch_batchsize4
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+
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+ This model is a fine-tuned version of [VietAI/vit5-large-vietnews-summarization](https://huggingface.co/VietAI/vit5-large-vietnews-summarization) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7734
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+ - Rouge1: 0.6007
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+ - Rouge2: 0.2982
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+ - Rougel: 0.397
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+ - Rougelsum: 0.3967
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+ - Gen Len: 40.4167
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 1.7493 | 1.0 | 6750 | 1.6597 | 0.5919 | 0.2925 | 0.3926 | 0.3924 | 39.202 |
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+ | 1.2965 | 2.0 | 13500 | 1.6761 | 0.5986 | 0.2972 | 0.3962 | 0.3961 | 40.2633 |
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+ | 1.0039 | 3.0 | 20250 | 1.7734 | 0.6007 | 0.2982 | 0.397 | 0.3967 | 40.4167 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.7
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+ - Tokenizers 0.14.1
generation_config.json ADDED
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+ {
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+ "decoder_start_token_id": 0,
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+ "eos_token_id": 1,
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+ "max_length": 256,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.34.0"
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+ }
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