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dealFindr-finetuned-v2

Text2Text Generation
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PyTorch
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bart
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-v2
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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-v2
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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: 2.5538
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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: 40
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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 | 6 | 13.3407 |
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+ | No log | 2.0 | 12 | 12.2340 |
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+ | No log | 3.0 | 18 | 11.3766 |
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+ | No log | 4.0 | 24 | 10.2878 |
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+ | No log | 5.0 | 30 | 8.9169 |
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+ | No log | 6.0 | 36 | 7.2212 |
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+ | No log | 7.0 | 42 | 6.0935 |
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+ | No log | 8.0 | 48 | 5.4063 |
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+ | No log | 9.0 | 54 | 5.0208 |
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+ | No log | 10.0 | 60 | 4.7110 |
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+ | No log | 11.0 | 66 | 4.4599 |
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+ | No log | 12.0 | 72 | 4.2590 |
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+ | No log | 13.0 | 78 | 4.0866 |
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+ | No log | 14.0 | 84 | 3.9301 |
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+ | No log | 15.0 | 90 | 3.7943 |
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+ | No log | 16.0 | 96 | 3.6821 |
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+ | No log | 17.0 | 102 | 3.5801 |
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+ | No log | 18.0 | 108 | 3.4734 |
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+ | No log | 19.0 | 114 | 3.3823 |
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+ | No log | 20.0 | 120 | 3.2995 |
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+ | No log | 21.0 | 126 | 3.2260 |
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+ | No log | 22.0 | 132 | 3.1548 |
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+ | No log | 23.0 | 138 | 3.0821 |
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+ | No log | 24.0 | 144 | 3.0141 |
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+ | No log | 25.0 | 150 | 2.9590 |
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+ | No log | 26.0 | 156 | 2.9073 |
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+ | No log | 27.0 | 162 | 2.8577 |
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+ | No log | 28.0 | 168 | 2.8124 |
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+ | No log | 29.0 | 174 | 2.7693 |
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+ | No log | 30.0 | 180 | 2.7302 |
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+ | No log | 31.0 | 186 | 2.6954 |
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+ | No log | 32.0 | 192 | 2.6647 |
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+ | No log | 33.0 | 198 | 2.6384 |
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+ | No log | 34.0 | 204 | 2.6157 |
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+ | No log | 35.0 | 210 | 2.5965 |
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+ | No log | 36.0 | 216 | 2.5817 |
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+ | No log | 37.0 | 222 | 2.5702 |
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+ | No log | 38.0 | 228 | 2.5611 |
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+ | No log | 39.0 | 234 | 2.5557 |
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+ | No log | 40.0 | 240 | 2.5538 |
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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