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--- |
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base_model: facebook/bart-large-cnn |
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library_name: peft |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: lora_fine_tuned_bart |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nedith22-makerere-university/Fatima%20Fellowahip2024/runs/pvowwaid) |
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# lora_fine_tuned_bart |
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6906 |
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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: 4e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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| 1.7253 | 1.0 | 32 | 1.8719 | |
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| 1.426 | 2.0 | 64 | 1.6167 | |
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| 1.3662 | 3.0 | 96 | 1.5225 | |
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| 1.3049 | 4.0 | 128 | 1.4695 | |
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| 1.2084 | 5.0 | 160 | 1.4319 | |
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| 1.2666 | 6.0 | 192 | 1.3709 | |
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| 1.2344 | 7.0 | 224 | 1.3053 | |
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| 1.1056 | 8.0 | 256 | 1.2560 | |
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| 1.025 | 9.0 | 288 | 1.1773 | |
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| 0.915 | 10.0 | 320 | 1.0743 | |
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| 0.8726 | 11.0 | 352 | 1.0085 | |
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| 0.8281 | 12.0 | 384 | 0.9630 | |
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| 0.777 | 13.0 | 416 | 0.9116 | |
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| 0.7681 | 14.0 | 448 | 0.8817 | |
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| 0.664 | 15.0 | 480 | 0.8357 | |
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| 0.6604 | 16.0 | 512 | 0.8077 | |
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| 0.6351 | 17.0 | 544 | 0.7837 | |
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| 0.6455 | 18.0 | 576 | 0.7724 | |
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| 0.6167 | 19.0 | 608 | 0.7585 | |
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| 0.5969 | 20.0 | 640 | 0.7443 | |
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| 0.5605 | 21.0 | 672 | 0.7382 | |
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| 0.5835 | 22.0 | 704 | 0.7302 | |
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| 0.5668 | 23.0 | 736 | 0.7183 | |
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| 0.575 | 24.0 | 768 | 0.7124 | |
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| 0.5319 | 25.0 | 800 | 0.7129 | |
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| 0.5515 | 26.0 | 832 | 0.7085 | |
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| 0.5219 | 27.0 | 864 | 0.7119 | |
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| 0.5509 | 28.0 | 896 | 0.7074 | |
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| 0.5172 | 29.0 | 928 | 0.7014 | |
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| 0.5298 | 30.0 | 960 | 0.7034 | |
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| 0.5071 | 31.0 | 992 | 0.6930 | |
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| 0.525 | 32.0 | 1024 | 0.6941 | |
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| 0.5153 | 33.0 | 1056 | 0.6963 | |
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| 0.5115 | 34.0 | 1088 | 0.6925 | |
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| 0.5194 | 35.0 | 1120 | 0.6933 | |
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| 0.5138 | 36.0 | 1152 | 0.6926 | |
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| 0.4649 | 37.0 | 1184 | 0.6913 | |
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| 0.5127 | 38.0 | 1216 | 0.6932 | |
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| 0.5044 | 39.0 | 1248 | 0.6929 | |
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| 0.4701 | 40.0 | 1280 | 0.6921 | |
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| 0.5156 | 41.0 | 1312 | 0.6931 | |
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| 0.5163 | 42.0 | 1344 | 0.6898 | |
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| 0.5153 | 43.0 | 1376 | 0.6896 | |
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| 0.5054 | 44.0 | 1408 | 0.6880 | |
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| 0.4915 | 45.0 | 1440 | 0.6872 | |
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| 0.4908 | 46.0 | 1472 | 0.6879 | |
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| 0.4836 | 47.0 | 1504 | 0.6891 | |
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| 0.491 | 48.0 | 1536 | 0.6889 | |
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| 0.4814 | 49.0 | 1568 | 0.6905 | |
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| 0.4872 | 50.0 | 1600 | 0.6906 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
