oh_v3-1_only_metamath_40k
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the mlfoundations-dev/oh_v3-1_only_metamath_40k dataset. It achieves the following results on the evaluation set:
- Loss: 0.2824
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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 1738
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4671 | 0.9639 | 15 | 0.3353 |
| 0.3019 | 1.9920 | 31 | 0.2970 |
| 0.2815 | 2.8916 | 45 | 0.2824 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1
- Downloads last month
- 319
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for mlfoundations-dev/oh_v3-1_only_metamath_40k
Base model
meta-llama/Llama-3.1-8B