llama3_false_positives_0609_KTO_hp_screening_seeds
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9850
- Eval/rewards/chosen: 0.0
- Eval/logps/chosen: -207.5800
- Eval/rewards/rejected: 0.0
- Eval/logps/rejected: -221.5768
- Eval/rewards/margins: 0.0
- Eval/kl: 0.0
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: 0.0
- train_batch_size: 1
- eval_batch_size: 2
- seed: 9012
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Training Loss | Epoch | Step | Validation Loss | |
---|---|---|---|---|
1.0625 | 0.9412 | 12 | 1.9850 | 0.0 |
Framework versions
- PEFT 0.11.1
- Transformers 4.44.0
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for PaulD/llama3_false_positives_0609_KTO_hp_screening_seeds
Base model
meta-llama/Meta-Llama-3-8B-Instruct