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--- |
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base_model: EleutherAI/pile-t5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: pile-t5-base-inst |
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results: [] |
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language: |
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- en |
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metrics: |
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- rouge |
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library_name: transformers |
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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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# pile-t5-base-inst |
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This model is a fine-tuned version of [EleutherAI/pile-t5-base](https://huggingface.co/EleutherAI/pile-t5-base) on [taskydata/Pile-T5-Instruction](https://huggingface.co/datasets/taskydata/Pile-T5-Instruction) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5082 |
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- Rouge2 Precision: 0.2496 |
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- Rouge2 Recall: 0.1633 |
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- Rouge2 Fmeasure: 0.1786 |
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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: 2e-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: 50 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure | |
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|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:| |
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| 5.8554 | 0.58 | 1500 | 3.2533 | 0.1 | 0.0744 | 0.0721 | |
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| 4.2403 | 1.16 | 3000 | 2.7020 | 0.1704 | 0.1174 | 0.1248 | |
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| 3.8091 | 1.74 | 4500 | 2.5844 | 0.2476 | 0.1617 | 0.1767 | |
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| 3.6589 | 2.32 | 6000 | 2.5289 | 0.2467 | 0.1621 | 0.1769 | |
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| 3.5802 | 2.9 | 7500 | 2.5082 | 0.2496 | 0.1633 | 0.1786 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
