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--- |
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license: apache-2.0 |
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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: dealFindr-finetuned-v3 |
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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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# dealFindr-finetuned-v3 |
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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: 0.9704 |
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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: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 8 | 12.2678 | |
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| No log | 2.0 | 16 | 11.3441 | |
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| No log | 3.0 | 24 | 10.2220 | |
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| No log | 4.0 | 32 | 8.6566 | |
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| No log | 5.0 | 40 | 6.4217 | |
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| No log | 6.0 | 48 | 5.3282 | |
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| No log | 7.0 | 56 | 4.8098 | |
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| No log | 8.0 | 64 | 4.4019 | |
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| No log | 9.0 | 72 | 4.1157 | |
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| No log | 10.0 | 80 | 3.8796 | |
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| No log | 11.0 | 88 | 3.6642 | |
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| No log | 12.0 | 96 | 3.4801 | |
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| No log | 13.0 | 104 | 3.3123 | |
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| No log | 14.0 | 112 | 3.1491 | |
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| No log | 15.0 | 120 | 3.0019 | |
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| No log | 16.0 | 128 | 2.8685 | |
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| No log | 17.0 | 136 | 2.7340 | |
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| No log | 18.0 | 144 | 2.6073 | |
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| No log | 19.0 | 152 | 2.4897 | |
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| No log | 20.0 | 160 | 2.3747 | |
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| No log | 21.0 | 168 | 2.2723 | |
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| No log | 22.0 | 176 | 2.1683 | |
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| No log | 23.0 | 184 | 2.0714 | |
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| No log | 24.0 | 192 | 1.9811 | |
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| No log | 25.0 | 200 | 1.8965 | |
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| No log | 26.0 | 208 | 1.8128 | |
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| No log | 27.0 | 216 | 1.7375 | |
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| No log | 28.0 | 224 | 1.6632 | |
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| No log | 29.0 | 232 | 1.5932 | |
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| No log | 30.0 | 240 | 1.5299 | |
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| No log | 31.0 | 248 | 1.4716 | |
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| No log | 32.0 | 256 | 1.4156 | |
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| No log | 33.0 | 264 | 1.3637 | |
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| No log | 34.0 | 272 | 1.3164 | |
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| No log | 35.0 | 280 | 1.2711 | |
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| No log | 36.0 | 288 | 1.2284 | |
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| No log | 37.0 | 296 | 1.1908 | |
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| No log | 38.0 | 304 | 1.1568 | |
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| No log | 39.0 | 312 | 1.1272 | |
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| No log | 40.0 | 320 | 1.0996 | |
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| No log | 41.0 | 328 | 1.0742 | |
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| No log | 42.0 | 336 | 1.0522 | |
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| No log | 43.0 | 344 | 1.0321 | |
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| No log | 44.0 | 352 | 1.0150 | |
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| No log | 45.0 | 360 | 1.0015 | |
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| No log | 46.0 | 368 | 0.9905 | |
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| No log | 47.0 | 376 | 0.9820 | |
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| No log | 48.0 | 384 | 0.9756 | |
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| No log | 49.0 | 392 | 0.9718 | |
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| No log | 50.0 | 400 | 0.9704 | |
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### Framework versions |
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- Transformers 4.31.0 |
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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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