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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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- stackexchange_titlebody_best_voted_answer_jsonl |
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metrics: |
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- rouge |
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model-index: |
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- name: flan-t5-base-flant5-apple-support |
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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: stackexchange_titlebody_best_voted_answer_jsonl |
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type: stackexchange_titlebody_best_voted_answer_jsonl |
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config: apple |
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split: train[:10%] |
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args: apple |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 12.7991 |
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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-base-flant5-apple-support |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the stackexchange_titlebody_best_voted_answer_jsonl dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9676 |
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- Rouge1: 12.7991 |
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- Rouge2: 2.244 |
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- Rougel: 9.8075 |
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- Rougelsum: 11.3618 |
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- Gen Len: 18.9087 |
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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: 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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- num_epochs: 5 |
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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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| 3.2673 | 1.0 | 1157 | 3.0350 | 12.4094 | 2.1794 | 9.5255 | 10.9739 | 18.9723 | |
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| 3.1854 | 2.0 | 2314 | 2.9992 | 12.4579 | 2.1512 | 9.5232 | 11.0049 | 18.9647 | |
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| 3.1006 | 3.0 | 3471 | 2.9792 | 12.9794 | 2.2794 | 9.9245 | 11.5019 | 18.9436 | |
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| 3.0751 | 4.0 | 4628 | 2.9711 | 12.6779 | 2.1828 | 9.6962 | 11.221 | 18.9137 | |
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| 3.0532 | 5.0 | 5785 | 2.9676 | 12.7991 | 2.244 | 9.8075 | 11.3618 | 18.9087 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
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