metadata
library_name: transformers
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: prm_version2_subsample_hf
results: []
prm_version2_subsample_hf
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the prm_conversations_prm_version2_math+webinstructsub-mcq+webinstructsub-oe+apps_mix_ref_subsample_hf dataset. It achieves the following results on the evaluation set:
- Loss: 0.1349
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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1845 | 0.1303 | 500 | 0.2062 |
| 0.1762 | 0.2606 | 1000 | 0.1863 |
| 0.1704 | 0.3910 | 1500 | 0.1710 |
| 0.1529 | 0.5213 | 2000 | 0.1579 |
| 0.1393 | 0.6516 | 2500 | 0.1471 |
| 0.1442 | 0.7819 | 3000 | 0.1387 |
| 0.13 | 0.9123 | 3500 | 0.1353 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3