metadata
library_name: transformers
license: other
base_model: Meta-Llama/Meta-Llama-3.1-8B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: web_policy_sft
results: []
web_policy_sft
This model is a fine-tuned version of /ceph/home/muhan01/huggingfacemodels/Meta-Llama-3.1-8B-Instruct on the web_policy_sft dataset. It achieves the following results on the evaluation set:
- Loss: 0.1971
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 0.1
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2843 | 0.9394 | 500 | 0.2385 |
| 0.1062 | 1.8774 | 1000 | 0.1962 |
| 0.0573 | 2.8154 | 1500 | 0.1971 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1