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fine-tuned-BioBART-2048-inputs-20-epochs

Text2Text Generation
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bart
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  1. README.md +83 -0
  2. generation_config.json +11 -0
  3. model.safetensors +1 -1
  4. runs/Dec27_02-46-49_william-gpu-3090-10-rxldr/events.out.tfevents.1703645211.william-gpu-3090-10-rxldr.59533.0 +2 -2
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: GanjinZero/biobart-v2-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: fine-tuned-BART-2048-inputs-20-epochs
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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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+ # fine-tuned-BART-2048-inputs-20-epochs
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+
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+ This model is a fine-tuned version of [GanjinZero/biobart-v2-base](https://huggingface.co/GanjinZero/biobart-v2-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7640
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+ - Rouge1: 0.318
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+ - Rouge2: 0.1243
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+ - Rougel: 0.2884
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+ - Rougelsum: 0.2894
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+ - Gen Len: 15.42
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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: 2e-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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 151 | 0.7532 | 0.2007 | 0.0751 | 0.1827 | 0.1821 | 13.29 |
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+ | No log | 2.0 | 302 | 0.7148 | 0.261 | 0.0836 | 0.2299 | 0.2312 | 13.92 |
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+ | No log | 3.0 | 453 | 0.6995 | 0.248 | 0.0862 | 0.2195 | 0.2201 | 14.49 |
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+ | 0.724 | 4.0 | 604 | 0.6956 | 0.2944 | 0.1061 | 0.2658 | 0.2665 | 14.31 |
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+ | 0.724 | 5.0 | 755 | 0.7029 | 0.3061 | 0.1203 | 0.2808 | 0.283 | 14.81 |
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+ | 0.724 | 6.0 | 906 | 0.6965 | 0.2848 | 0.1118 | 0.2596 | 0.2584 | 15.0 |
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+ | 0.5016 | 7.0 | 1057 | 0.7097 | 0.2874 | 0.1207 | 0.2558 | 0.2562 | 15.0 |
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+ | 0.5016 | 8.0 | 1208 | 0.7140 | 0.293 | 0.1143 | 0.2617 | 0.2641 | 14.3 |
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+ | 0.5016 | 9.0 | 1359 | 0.7191 | 0.3198 | 0.1222 | 0.2877 | 0.2903 | 14.75 |
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+ | 0.3838 | 10.0 | 1510 | 0.7274 | 0.3127 | 0.1265 | 0.2863 | 0.2874 | 14.82 |
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+ | 0.3838 | 11.0 | 1661 | 0.7312 | 0.3129 | 0.1282 | 0.2821 | 0.2819 | 14.97 |
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+ | 0.3838 | 12.0 | 1812 | 0.7419 | 0.2974 | 0.1123 | 0.2726 | 0.2725 | 14.98 |
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+ | 0.3838 | 13.0 | 1963 | 0.7441 | 0.2945 | 0.1139 | 0.2682 | 0.2681 | 15.1 |
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+ | 0.3153 | 14.0 | 2114 | 0.7490 | 0.2969 | 0.1207 | 0.2743 | 0.2753 | 15.29 |
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+ | 0.3153 | 15.0 | 2265 | 0.7536 | 0.2971 | 0.1116 | 0.2674 | 0.2689 | 14.83 |
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+ | 0.3153 | 16.0 | 2416 | 0.7564 | 0.301 | 0.1078 | 0.271 | 0.2726 | 15.3 |
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+ | 0.2646 | 17.0 | 2567 | 0.7585 | 0.2989 | 0.1117 | 0.2737 | 0.2744 | 15.21 |
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+ | 0.2646 | 18.0 | 2718 | 0.7630 | 0.2944 | 0.1078 | 0.2641 | 0.265 | 15.12 |
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+ | 0.2646 | 19.0 | 2869 | 0.7632 | 0.2986 | 0.1089 | 0.2669 | 0.2683 | 15.25 |
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+ | 0.2428 | 20.0 | 3020 | 0.7640 | 0.318 | 0.1243 | 0.2884 | 0.2894 | 15.42 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 1.12.1+cu113
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ "forced_eos_token_id": 2,
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.36.2"
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+ }
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