metadata
library_name: transformers
base_model: Jennny/llama3_8b_sft_helpsteer
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: llama3_8b_helpsteer_correct_rm
results: []
llama3_8b_helpsteer_correct_rm
This model is a fine-tuned version of Jennny/llama3_8b_sft_helpsteer on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5813
- Accuracy: 0.5847
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-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1608 | 0.1882 | 10 | 1.1481 | 0.5847 |
| 0.128 | 0.3765 | 20 | 0.8165 | 0.6045 |
| 0.1509 | 0.5647 | 30 | 0.7681 | 0.6271 |
| 0.1323 | 0.7529 | 40 | 0.8492 | 0.5650 |
| 0.0856 | 0.9412 | 50 | 0.9250 | 0.6073 |
| 0.0013 | 1.1129 | 60 | 1.2136 | 0.6073 |
| 0.0088 | 1.3012 | 70 | 1.7243 | 0.5593 |
| 0.034 | 1.4894 | 80 | 1.7962 | 0.5650 |
| 0.0083 | 1.6776 | 90 | 1.6045 | 0.5763 |
| 0.0001 | 1.8659 | 100 | 1.5813 | 0.5847 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1