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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model-index:
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- name: sft-trl-no-claim
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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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# sft-trl-no-claim
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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: 0.6203
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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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- lr_scheduler_warmup_steps: 100
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.1604 | 0.2 | 1000 | 1.8712 |
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| 1.0077 | 0.4 | 2000 | 1.4700 |
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| 0.8175 | 0.6 | 3000 | 1.0772 |
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| 0.7621 | 0.8 | 4000 | 0.7959 |
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| 0.3346 | 1.0 | 5000 | 0.7570 |
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| 0.2903 | 1.2 | 6000 | 0.6882 |
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| 0.2313 | 1.4 | 7000 | 0.6471 |
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| 0.3038 | 1.6 | 8000 | 0.6203 |
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| 0.2292 | 1.8 | 9000 | 0.6203 |
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| 0.193 | 2.0 | 10000 | 0.6203 |
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| 0.1198 | 2.2 | 11000 | 0.6203 |
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| 0.2185 | 2.4 | 12000 | 0.6203 |
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| 0.1038 | 2.6 | 13000 | 0.6203 |
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| 0.1469 | 2.8 | 14000 | 0.6203 |
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| 0.1857 | 3.0 | 15000 | 0.6203 |
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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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