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--- |
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license: apache-2.0 |
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base_model: google/flan-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: flan-t5-small-asap_t5_f0_prompt_adherence |
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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-t5-small-asap_t5_f0_prompt_adherence |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0638 |
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- Rouge1: 79.3921 |
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- Rouge2: 73.8671 |
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- Rougel: 79.4314 |
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- Rougelsum: 79.397 |
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- Gen Len: 12.0319 |
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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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| No log | 1.0 | 271 | 0.0983 | 76.0693 | 68.9433 | 76.0621 | 76.077 | 12.0 | |
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| 0.4745 | 2.0 | 542 | 0.0715 | 76.9123 | 70.6854 | 76.9889 | 76.9047 | 12.0083 | |
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| 0.4745 | 3.0 | 813 | 0.0652 | 78.4337 | 72.7285 | 78.4968 | 78.4136 | 12.0180 | |
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| 0.0868 | 4.0 | 1084 | 0.0645 | 79.1916 | 73.6922 | 79.2211 | 79.1421 | 12.0277 | |
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| 0.0868 | 5.0 | 1355 | 0.0638 | 79.3921 | 73.8671 | 79.4314 | 79.397 | 12.0319 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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