Simon Tang
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update model card README.md
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README.md
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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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