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pythia-1.4b-deduped-jokes
AlekseyKorshuk/pythia-1.4b-deduped-jokes
pythia-1.4b-deduped-jokes is a text generation model from AlekseyKorshuk. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- gpt_neox
- Access
- Public
- Created
- Apr 15, 2023
- Updated
- Apr 15, 2023
- SHA
- 456b5caf
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Datasets
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
pythia-1.4b-deduped-jokes
This model is a fine-tuned version of EleutherAI/pythia-1.4b-deduped on the Fraser/short-jokes dataset. It achieves the following results on the evaluation set:
- Loss: 0.0699
- Accuracy: 0.9870
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 400
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.06 | 100 | 0.0729 | 0.9866 |
| No log | 0.12 | 200 | 0.0716 | 0.9868 |
| No log | 0.17 | 300 | 0.0705 | 0.9869 |
| No log | 0.23 | 400 | 0.0699 | 0.9870 |
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0-rc1
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Text Generation
- Library
- transformers
- Type
- gpt_neox
- License
- apache-2.0
- Created
- Apr 15, 2023
- Updated
- Apr 15, 2023