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tmp-dpo
lewtun/tmp-dpo
tmp-dpo is a text generation model from lewtun. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Sep 11, 2024
- Updated
- Sep 11, 2024
- SHA
- 95b51bea
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Base models
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. -->
tmp-dpo
This model is a fine-tuned version of trl-internal-testing/tiny-random-LlamaForCausalLM on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6931
- Rewards/chosen: -0.0001
- Rewards/rejected: -0.0001
- Rewards/accuracies: 0.625
- Rewards/margins: 0.0001
- Logps/rejected: -2296.9749
- Logps/chosen: -2241.1948
- Logits/rejected: -0.0001
- Logits/chosen: -0.0001
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 1
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Sep 11, 2024
- Updated
- Sep 11, 2024