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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- pszemraj/fleece2instructions |
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metrics: |
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- rouge |
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model-index: |
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- name: flan-t5-xl-instructiongen |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: pszemraj/fleece2instructions |
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type: pszemraj/fleece2instructions |
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split: validation |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 65.3267 |
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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-t5-xl-instructiongen |
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This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on the pszemraj/fleece2instructions dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8314 |
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- Rouge1: 65.3297 |
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- Rouge2: 48.8475 |
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- Rougel: 63.4183 |
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- Rougelsum: 63.5458 |
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- Gen Len: 13.7474 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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Generate/recover **instructions** (assumes that there is just an instruction, not `inputs` as well) from arbitrary text. |
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## Training and evaluation data |
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Refer to `pszemraj/fleece2instructions` |
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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: 6e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 2.0 |
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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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| 0.9615 | 1.0 | 362 | 0.8353 | 63.9163 | 47.0456 | 61.9554 | 62.0549 | 13.3737 | |
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| 0.809 | 2.0 | 724 | 0.8251 | 64.5398 | 47.9107 | 62.5928 | 62.7278 | 13.4763 | |
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### Framework versions |
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- Transformers 4.28.0.dev0 |
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- Pytorch 2.0.0.dev20230130+cu118 |
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- Datasets 2.9.0 |
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- Tokenizers 0.12.1 |
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