metadata
base_model: AI-MO/deepseek-math-7b-sft
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- AI-MO/tora-chosen-v0.7
model-index:
- name: aimo_v51.2
results: []
aimo_v51.2
This model is a fine-tuned version of AI-MO/deepseek-math-7b-sft on the AI-MO/tora-chosen-v0.7 dataset. It achieves the following results on the evaluation set:
- Loss: 0.5302
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4295 | 1.0 | 1733 | 0.4313 |
| 0.3638 | 2.0 | 3466 | 0.4332 |
| 0.2951 | 3.0 | 5199 | 0.4704 |
| 0.2225 | 4.0 | 6932 | 0.5302 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.1
- Datasets 2.18.0
- Tokenizers 0.19.1