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--- |
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license: apache-2.0 |
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base_model: Falconsai/text_summarization |
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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: text_summarization-finetuned-stocknews_1900_100 |
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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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# text_summarization-finetuned-stocknews_1900_100 |
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This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6704 |
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- Rouge1: 14.8468 |
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- Rouge2: 6.605 |
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- Rougel: 12.5912 |
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- Rougelsum: 13.8844 |
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- Gen Len: 19.0 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 25 |
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- mixed_precision_training: Native AMP |
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### Training results |
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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 | 102 | 2.0572 | 14.815 | 5.9056 | 12.0659 | 13.6223 | 19.0 | |
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| No log | 2.0 | 204 | 1.9284 | 14.8263 | 6.0075 | 12.0672 | 13.5783 | 19.0 | |
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| No log | 3.0 | 306 | 1.8635 | 14.7132 | 6.2969 | 12.1804 | 13.7033 | 19.0 | |
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| No log | 4.0 | 408 | 1.8187 | 14.5759 | 6.3479 | 12.2351 | 13.5408 | 19.0 | |
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| 2.2351 | 5.0 | 510 | 1.7896 | 14.6503 | 6.4258 | 12.2892 | 13.6634 | 19.0 | |
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| 2.2351 | 6.0 | 612 | 1.7742 | 14.5794 | 6.3181 | 12.2248 | 13.5458 | 19.0 | |
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| 2.2351 | 7.0 | 714 | 1.7523 | 14.5132 | 6.3226 | 12.2905 | 13.4683 | 19.0 | |
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| 2.2351 | 8.0 | 816 | 1.7409 | 14.4054 | 6.301 | 12.1657 | 13.3541 | 19.0 | |
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| 2.2351 | 9.0 | 918 | 1.7266 | 14.523 | 6.4309 | 12.2507 | 13.4937 | 19.0 | |
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| 1.9331 | 10.0 | 1020 | 1.7176 | 14.6255 | 6.5518 | 12.2987 | 13.5785 | 19.0 | |
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| 1.9331 | 11.0 | 1122 | 1.7080 | 14.7579 | 6.5473 | 12.3413 | 13.7116 | 19.0 | |
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| 1.9331 | 12.0 | 1224 | 1.7026 | 14.744 | 6.6321 | 12.3666 | 13.7439 | 19.0 | |
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| 1.9331 | 13.0 | 1326 | 1.6952 | 14.9263 | 6.7745 | 12.5911 | 13.9137 | 19.0 | |
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| 1.9331 | 14.0 | 1428 | 1.6924 | 14.9758 | 6.8123 | 12.6647 | 14.0481 | 19.0 | |
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| 1.8412 | 15.0 | 1530 | 1.6874 | 14.9901 | 6.7148 | 12.57 | 14.0264 | 19.0 | |
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| 1.8412 | 16.0 | 1632 | 1.6838 | 14.9599 | 6.7418 | 12.55 | 14.0427 | 19.0 | |
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| 1.8412 | 17.0 | 1734 | 1.6807 | 14.9124 | 6.7273 | 12.5752 | 13.9551 | 19.0 | |
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| 1.8412 | 18.0 | 1836 | 1.6779 | 14.8536 | 6.7331 | 12.5783 | 13.9188 | 19.0 | |
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| 1.8412 | 19.0 | 1938 | 1.6744 | 14.9394 | 6.7234 | 12.6105 | 13.9947 | 19.0 | |
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| 1.7905 | 20.0 | 2040 | 1.6736 | 14.9112 | 6.6709 | 12.603 | 13.9438 | 19.0 | |
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| 1.7905 | 21.0 | 2142 | 1.6724 | 14.9004 | 6.6578 | 12.6049 | 13.9428 | 19.0 | |
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| 1.7905 | 22.0 | 2244 | 1.6724 | 14.7264 | 6.5678 | 12.5109 | 13.8099 | 19.0 | |
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| 1.7905 | 23.0 | 2346 | 1.6713 | 14.7045 | 6.5554 | 12.4921 | 13.799 | 19.0 | |
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| 1.7905 | 24.0 | 2448 | 1.6708 | 14.7174 | 6.5556 | 12.4934 | 13.8 | 19.0 | |
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| 1.7682 | 25.0 | 2550 | 1.6704 | 14.8468 | 6.605 | 12.5912 | 13.8844 | 19.0 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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