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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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- anli |
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metrics: |
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- rouge |
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model-index: |
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- name: gpt-j-claim-generator |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: anli |
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type: anli |
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config: plain_text |
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split: dev_r3 |
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args: plain_text |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 0.8913860940628431 |
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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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# gpt-j-claim-generator |
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This model is a fine-tuned version of [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b) on the anli dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0232 |
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- Rouge1: 0.8914 |
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- Rouge2: 0.8240 |
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- Rougel: 0.8863 |
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- Rougelsum: 0.8864 |
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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: 1e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 3 |
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- total_train_batch_size: 36 |
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- total_eval_batch_size: 3 |
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 0.013 | 1.79 | 5000 | 0.0200 | 0.8921 | 0.8194 | 0.8859 | 0.8860 | |
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| 0.0085 | 3.58 | 10000 | 0.0232 | 0.8914 | 0.8240 | 0.8863 | 0.8864 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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