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--- |
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license: mit |
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base_model: philschmid/bart-large-cnn-samsum |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bart-model |
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results: [] |
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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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# bart-model |
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This model is a fine-tuned version of [philschmid/bart-large-cnn-samsum](https://huggingface.co./philschmid/bart-large-cnn-samsum) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6169 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.487 | 0.8 | 10 | 1.2019 | |
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| 1.3092 | 1.61 | 20 | 0.9905 | |
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| 1.0316 | 2.41 | 30 | 0.7841 | |
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| 0.8111 | 3.22 | 40 | 0.6587 | |
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| 0.7191 | 4.02 | 50 | 0.5964 | |
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| 0.5906 | 4.82 | 60 | 0.5613 | |
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| 0.5351 | 5.63 | 70 | 0.5393 | |
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| 0.4696 | 6.43 | 80 | 0.5429 | |
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| 0.4249 | 7.24 | 90 | 0.5287 | |
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| 0.3619 | 8.04 | 100 | 0.5577 | |
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| 0.3303 | 8.84 | 110 | 0.5794 | |
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| 0.2718 | 9.65 | 120 | 0.6169 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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