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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-hblastKP |
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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-hblastKP |
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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: 1.0138 |
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- Rouge1: 56.1916 |
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- Rouge2: 46.6889 |
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- Rougel: 56.0783 |
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- Rougelsum: 56.1408 |
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- Gen Len: 6.6737 |
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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: 5e-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: 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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| 1.2249 | 1.0 | 6222 | 1.0369 | 56.5144 | 47.7112 | 56.4169 | 56.5046 | 7.3609 | |
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| 1.027 | 2.0 | 12444 | 1.0361 | 55.904 | 46.7622 | 55.7977 | 55.9268 | 6.9696 | |
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| 0.9344 | 3.0 | 18666 | 1.0188 | 58.2277 | 49.2274 | 58.112 | 58.1932 | 7.1203 | |
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| 0.8994 | 4.0 | 24888 | 1.0171 | 57.8553 | 48.3674 | 57.7255 | 57.8761 | 6.7841 | |
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| 0.8559 | 5.0 | 31110 | 1.0138 | 56.1916 | 46.6889 | 56.0783 | 56.1408 | 6.6737 | |
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| 0.7633 | 6.0 | 37332 | 1.0178 | 58.1465 | 48.3511 | 57.9589 | 58.0973 | 6.8882 | |
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| 0.7444 | 7.0 | 43554 | 1.0221 | 58.295 | 48.8287 | 58.1788 | 58.2618 | 6.8316 | |
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| 0.7256 | 8.0 | 49776 | 1.0322 | 58.1448 | 48.5088 | 58.0255 | 58.1326 | 6.9370 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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