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
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