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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-v2 |
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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-v2 |
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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: 1.2667 |
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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: 60 |
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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 | 6 | 13.4493 | |
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| No log | 2.0 | 12 | 12.2565 | |
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| No log | 3.0 | 18 | 11.4010 | |
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| No log | 4.0 | 24 | 10.2832 | |
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| No log | 5.0 | 30 | 8.8511 | |
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| No log | 6.0 | 36 | 7.0976 | |
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| No log | 7.0 | 42 | 5.9832 | |
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| No log | 8.0 | 48 | 5.2993 | |
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| No log | 9.0 | 54 | 4.9107 | |
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| No log | 10.0 | 60 | 4.5861 | |
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| No log | 11.0 | 66 | 4.3329 | |
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| No log | 12.0 | 72 | 4.1270 | |
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| No log | 13.0 | 78 | 3.9392 | |
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| No log | 14.0 | 84 | 3.7658 | |
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| No log | 15.0 | 90 | 3.6182 | |
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| No log | 16.0 | 96 | 3.4915 | |
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| No log | 17.0 | 102 | 3.3719 | |
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| No log | 18.0 | 108 | 3.2467 | |
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| No log | 19.0 | 114 | 3.1374 | |
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| No log | 20.0 | 120 | 3.0331 | |
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| No log | 21.0 | 126 | 2.9368 | |
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| No log | 22.0 | 132 | 2.8411 | |
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| No log | 23.0 | 138 | 2.7430 | |
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| No log | 24.0 | 144 | 2.6521 | |
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| No log | 25.0 | 150 | 2.5733 | |
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| No log | 26.0 | 156 | 2.4918 | |
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| No log | 27.0 | 162 | 2.4123 | |
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| No log | 28.0 | 168 | 2.3377 | |
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| No log | 29.0 | 174 | 2.2648 | |
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| No log | 30.0 | 180 | 2.1950 | |
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| No log | 31.0 | 186 | 2.1286 | |
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| No log | 32.0 | 192 | 2.0646 | |
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| No log | 33.0 | 198 | 2.0045 | |
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| No log | 34.0 | 204 | 1.9476 | |
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| No log | 35.0 | 210 | 1.8927 | |
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| No log | 36.0 | 216 | 1.8419 | |
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| No log | 37.0 | 222 | 1.7924 | |
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| No log | 38.0 | 228 | 1.7420 | |
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| No log | 39.0 | 234 | 1.6980 | |
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| No log | 40.0 | 240 | 1.6592 | |
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| No log | 41.0 | 246 | 1.6197 | |
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| No log | 42.0 | 252 | 1.5805 | |
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| No log | 43.0 | 258 | 1.5428 | |
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| No log | 44.0 | 264 | 1.5082 | |
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| No log | 45.0 | 270 | 1.4784 | |
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| No log | 46.0 | 276 | 1.4517 | |
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| No log | 47.0 | 282 | 1.4265 | |
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| No log | 48.0 | 288 | 1.4019 | |
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| No log | 49.0 | 294 | 1.3798 | |
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| No log | 50.0 | 300 | 1.3596 | |
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| No log | 51.0 | 306 | 1.3419 | |
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| No log | 52.0 | 312 | 1.3262 | |
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| No log | 53.0 | 318 | 1.3122 | |
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| No log | 54.0 | 324 | 1.3003 | |
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| No log | 55.0 | 330 | 1.2902 | |
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| No log | 56.0 | 336 | 1.2821 | |
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| No log | 57.0 | 342 | 1.2757 | |
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| No log | 58.0 | 348 | 1.2709 | |
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| No log | 59.0 | 354 | 1.2678 | |
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| No log | 60.0 | 360 | 1.2667 | |
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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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