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--- |
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base_model: mrm8488/t5-base-finetuned-summarize-news |
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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: t5-base-finetuned-summarize-news-finetuned-xsum |
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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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# t5-base-finetuned-summarize-news-finetuned-xsum |
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This model is a fine-tuned version of [mrm8488/t5-base-finetuned-summarize-news](https://huggingface.co/mrm8488/t5-base-finetuned-summarize-news) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8286 |
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- Rouge1: 36.1835 |
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- Rouge2: 19.3429 |
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- Rougel: 35.3053 |
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- Rougelsum: 35.4019 |
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- Gen Len: 18.9615 |
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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: 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: 8 |
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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 | 26 | 3.0615 | 19.3248 | 6.3763 | 17.2502 | 17.2526 | 19.0 | |
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| No log | 2.0 | 52 | 2.5465 | 34.32 | 18.9536 | 32.8364 | 33.0664 | 19.0 | |
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| No log | 3.0 | 78 | 2.2511 | 34.606 | 18.9098 | 33.9115 | 33.9428 | 19.0 | |
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| No log | 4.0 | 104 | 2.0548 | 36.568 | 20.0592 | 35.5504 | 35.5845 | 18.9615 | |
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| No log | 5.0 | 130 | 1.9450 | 36.6344 | 19.5431 | 35.6034 | 35.6426 | 18.9615 | |
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| No log | 6.0 | 156 | 1.8820 | 36.1835 | 19.3429 | 35.3053 | 35.4019 | 18.9615 | |
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| No log | 7.0 | 182 | 1.8411 | 36.1835 | 19.3429 | 35.3053 | 35.4019 | 18.9615 | |
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| No log | 8.0 | 208 | 1.8286 | 36.1835 | 19.3429 | 35.3053 | 35.4019 | 18.9615 | |
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### Framework versions |
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- Transformers 4.36.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.0 |
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