metadata
base_model: hllj/meta-math-mistral-vi-math
tags:
- generated_from_trainer
model-index:
- name: sft-metamath-mistral-7b-vi-v1
results: []
sft-metamath-mistral-7b-vi-v1
This model is a fine-tuned version of hllj/meta-math-mistral-vi-math on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4947
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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3128 | 0.26 | 500 | 0.5093 |
| 0.2751 | 1.07 | 1000 | 0.4884 |
| 0.2585 | 1.33 | 1500 | 0.4943 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.15.0