End of training
Browse files- README.md +25 -6
- events.out.tfevents.1706019888.hatimf.28637.0 +2 -2
- events.out.tfevents.1706180148.hatimf.81666.0 +3 -0
- generation_config.json +1 -2
- model.safetensors +1 -1
- tokenizer.json +1 -1
- training_args.bin +1 -1
README.md
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base_model: facebook/bart-base
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tags:
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- generated_from_trainer
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model-index:
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- name: bart_booksum_1
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results: []
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# bart_booksum_1
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on
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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:
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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: 4
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.2+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.
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base_model: facebook/bart-base
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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: bart_booksum_1
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results: []
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# bart_booksum_1
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0264
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- Rouge1: 0.1795
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- Rouge2: 0.0368
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- Rougel: 0.1337
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- Rougelsum: 0.1334
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- Gen Len: 20.0
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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: 4
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- eval_batch_size: 4
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- seed: 1515
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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: 4
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- mixed_precision_training: Native AMP
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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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| 3.8176 | 1.0 | 80 | 3.0712 | 0.1765 | 0.0372 | 0.1298 | 0.1299 | 20.0 |
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| 3.3835 | 2.0 | 160 | 3.0365 | 0.1871 | 0.0444 | 0.1382 | 0.1382 | 20.0 |
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| 3.2162 | 3.0 | 240 | 3.0281 | 0.1892 | 0.0426 | 0.1385 | 0.1383 | 20.0 |
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| 3.1147 | 4.0 | 320 | 3.0264 | 0.1795 | 0.0368 | 0.1337 | 0.1334 | 20.0 |
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### Framework versions
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- Transformers 4.37.0
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- Pytorch 2.1.2+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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generation_config.json
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model.safetensors
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tokenizer.json
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training_args.bin
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