easylm-helpsteer-rm-FsfairX-LLaMA3-RM-v0.1
This model is a fine-tuned version of sfairXC/FsfairX-LLaMA3-RM-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4821
- Accuracy: 0.7784
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: 1e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.5465 | 0.3053 | 500 | 0.5170 | 0.7755 |
0.6788 | 0.6105 | 1000 | 0.4570 | 0.8105 |
0.5754 | 0.9158 | 1500 | 0.4829 | 0.7872 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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