qwen25_math_eng_rm
This model is a fine-tuned version of Jennny/qwen25_7b_sft_eng_math on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8559
- Accuracy: 0.7567
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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 16
- optimizer: Use OptimizerNames.PAGED_ADAMW 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: 0.03
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2222 | 0.1677 | 10 | 1.4139 | 0.5333 |
| 0.065 | 0.3354 | 20 | 0.9037 | 0.6067 |
| 0.0552 | 0.5031 | 30 | 0.7860 | 0.68 |
| 0.0371 | 0.6709 | 40 | 1.0758 | 0.7133 |
| 0.0731 | 0.8386 | 50 | 0.7435 | 0.7433 |
| 0.0534 | 1.0 | 60 | 0.6848 | 0.7467 |
| 0.0035 | 1.1677 | 70 | 1.2106 | 0.7433 |
| 0.0064 | 1.3354 | 80 | 1.2054 | 0.7467 |
| 0.0223 | 1.5031 | 90 | 1.3114 | 0.7367 |
| 0.0503 | 1.6709 | 100 | 0.9685 | 0.7467 |
| 0.0387 | 1.8386 | 110 | 0.8559 | 0.7567 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1
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