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--- |
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base_model: ybelkada/flan-t5-xl-sharded-bf16 |
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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: flanT5-xl-3.2 |
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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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# flanT5-xl-3.2 |
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This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6816 |
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- Rouge1: 32.8295 |
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- Rouge2: 24.633 |
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- Rougel: 29.5824 |
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- Rougelsum: 29.842 |
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- Gen Len: 10.9596 |
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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: 3e-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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 10 |
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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 | 362 | 4.1881 | 14.6341 | 9.0532 | 12.5623 | 12.7062 | 15.8012 | |
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| 19.4437 | 2.0 | 724 | 0.8038 | 31.6983 | 24.0636 | 28.4549 | 28.672 | 10.6522 | |
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| 0.8703 | 3.0 | 1086 | 0.7598 | 32.6624 | 24.6635 | 29.339 | 29.5778 | 10.5311 | |
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| 0.8703 | 4.0 | 1448 | 0.7359 | 32.6045 | 24.52 | 29.2079 | 29.466 | 10.6304 | |
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| 0.7965 | 5.0 | 1810 | 0.7155 | 33.1775 | 25.1312 | 29.924 | 30.1659 | 10.5901 | |
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| 0.7601 | 6.0 | 2172 | 0.7023 | 32.5547 | 24.3195 | 29.2416 | 29.5173 | 10.9099 | |
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| 0.7475 | 7.0 | 2534 | 0.6923 | 33.0802 | 24.8653 | 29.769 | 30.0683 | 10.7640 | |
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| 0.7475 | 8.0 | 2896 | 0.6858 | 32.6578 | 24.333 | 29.3174 | 29.6478 | 11.0435 | |
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| 0.7287 | 9.0 | 3258 | 0.6827 | 32.9542 | 24.7132 | 29.6381 | 29.928 | 10.9193 | |
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| 0.7215 | 10.0 | 3620 | 0.6816 | 32.8295 | 24.633 | 29.5824 | 29.842 | 10.9596 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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