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--- |
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license: apache-2.0 |
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base_model: t5-small |
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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-small-enterpret-finetuned |
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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-small-enterpret-finetuned |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3499 |
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- Rouge1: 0.3212 |
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- Rouge2: 0.1859 |
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- Rougel: 0.2925 |
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- Rougelsum: 0.2931 |
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- Gen Len: 18.4938 |
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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: 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: 4 |
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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 | 242 | 2.6522 | 0.2714 | 0.1292 | 0.2426 | 0.2432 | 18.0289 | |
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| No log | 2.0 | 484 | 2.4516 | 0.3076 | 0.1712 | 0.2799 | 0.2804 | 18.4618 | |
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| 2.9667 | 3.0 | 726 | 2.3734 | 0.3172 | 0.1827 | 0.2891 | 0.2897 | 18.4659 | |
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| 2.9667 | 4.0 | 968 | 2.3499 | 0.3212 | 0.1859 | 0.2925 | 0.2931 | 18.4938 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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