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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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- crd3 |
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metrics: |
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- rouge |
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model-index: |
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- name: primer-crd3 |
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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: crd3 |
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type: crd3 |
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config: default |
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split: train[:500] |
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args: default |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 0.1510358452879352 |
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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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# primer-crd3 |
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This model is a fine-tuned version of [allenai/PRIMERA](https://huggingface.co/allenai/PRIMERA) on the crd3 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8193 |
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- Rouge1: 0.1510 |
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- Rouge2: 0.0279 |
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- Rougel: 0.1251 |
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- Rougelsum: 0.1355 |
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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: 2 |
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- eval_batch_size: 2 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| No log | 1.0 | 250 | 2.9569 | 0.1762 | 0.0485 | 0.1525 | 0.1605 | |
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| 1.7993 | 2.0 | 500 | 3.4079 | 0.1612 | 0.0286 | 0.1367 | 0.1444 | |
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| 1.7993 | 3.0 | 750 | 3.8193 | 0.1510 | 0.0279 | 0.1251 | 0.1355 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.8.0 |
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- Datasets 2.7.0 |
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- Tokenizers 0.13.2 |
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