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dealFindr-finetuned-v3

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TensorBoard
bart
text2text-generation
Generated from Trainer
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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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+
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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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+ # dealFindr-finetuned-v3
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+
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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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+
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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: 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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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