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README.md
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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: flan-xl-gen2
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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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# flan-xl-gen2
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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: 0.7134
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- Rouge1: 32.8362
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- Rouge2: 24.6174
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- Rougel: 29.4825
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- Rougelsum: 29.8057
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- Gen Len: 10.8602
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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 | 16.9256 | 19.0988 | 13.2345 | 16.7051 | 16.8227 | 14.5155 |
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| 21.9637 | 2.0 | 724 | 0.9058 | 25.6321 | 19.4333 | 22.9915 | 23.0319 | 12.2298 |
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| 1.1153 | 3.0 | 1086 | 0.8224 | 33.772 | 27.2536 | 30.9184 | 30.9024 | 9.3851 |
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| 1.1153 | 4.0 | 1448 | 0.7790 | 31.8945 | 24.0796 | 28.6922 | 28.9082 | 10.7081 |
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| 0.8196 | 5.0 | 1810 | 0.7526 | 32.0479 | 23.9638 | 28.7508 | 28.9928 | 10.9565 |
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| 0.768 | 6.0 | 2172 | 0.7372 | 32.4934 | 24.2711 | 29.1369 | 29.4352 | 10.9130 |
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| 0.7461 | 7.0 | 2534 | 0.7262 | 33.7013 | 25.5198 | 30.3086 | 30.6278 | 10.4938 |
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| 0.7461 | 8.0 | 2896 | 0.7187 | 33.2769 | 25.0711 | 29.8857 | 30.1898 | 10.6925 |
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| 0.7247 | 9.0 | 3258 | 0.7143 | 32.9304 | 24.7808 | 29.6111 | 29.9039 | 10.8075 |
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| 0.7282 | 10.0 | 3620 | 0.7134 | 32.8362 | 24.6174 | 29.4825 | 29.8057 | 10.8602 |
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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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logs/events.out.tfevents.1700694723.0f3f5ab3ae48.283.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:0fc9ae2b7ab652595a2fea77d24c82908640abbd4bd29aff521ceb10956f515e
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size 613
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