llama-3-8b-instruct-armorm-judge
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the simonycl/Llama-3-8B-Instruct-ultrafeedback-armorm-annotate dataset. It achieves the following results on the evaluation set:
- Loss: 0.4834
- Rewards/chosen: -2.9573
- Rewards/rejected: -4.4536
- Rewards/accuracies: 0.7760
- Rewards/margins: 1.4963
- Logps/rejected: -597.7948
- Logps/chosen: -448.3257
- Logits/rejected: -0.6484
- Logits/chosen: -0.6989
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-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- total_eval_batch_size: 4
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5062 | 0.8529 | 400 | 0.4834 | -2.9573 | -4.4536 | 0.7760 | 1.4963 | -597.7948 | -448.3257 | -0.6484 | -0.6989 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for simonycl/llama-3-8b-instruct-armorm-judge
Base model
meta-llama/Meta-Llama-3-8B-Instruct