73 lines
2.0 KiB
Markdown
73 lines
2.0 KiB
Markdown
---
|
|
library_name: transformers
|
|
license: other
|
|
# base_model: /home/huangruijun/grpo_contract_penalty/test_3b/lora_merge/5500step
|
|
tags:
|
|
- llama-factory
|
|
- full
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: reasoning_test
|
|
results: []
|
|
---
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
should probably proofread and complete it, then remove this comment. -->
|
|
|
|
# reasoning_test
|
|
|
|
<!-- This model is a fine-tuned version of [/home/huangruijun/grpo_contract_penalty/test_3b/lora_merge/5500step](https://huggingface.co//home/huangruijun/grpo_contract_penalty/test_3b/lora_merge/5500step) on the reasoning_test dataset. -->
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.0904
|
|
|
|
## 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: 1
|
|
- eval_batch_size: 1
|
|
- seed: 42
|
|
- distributed_type: multi-GPU
|
|
- num_devices: 2
|
|
- gradient_accumulation_steps: 16
|
|
- total_train_batch_size: 32
|
|
- total_eval_batch_size: 2
|
|
- optimizer: Use adamw_torch 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: 0.1
|
|
- num_epochs: 25.0
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
|
|:-------------:|:-------:|:----:|:---------------:|
|
|
| 0.0385 | 3.5039 | 25 | 0.0498 |
|
|
| 0.0047 | 7.1260 | 50 | 0.0598 |
|
|
| 0.001 | 10.6299 | 75 | 0.0682 |
|
|
| 0.0002 | 14.2520 | 100 | 0.0857 |
|
|
| 0.0 | 17.7559 | 125 | 0.0882 |
|
|
| 0.0 | 21.3780 | 150 | 0.0904 |
|
|
| 0.0 | 24.8819 | 175 | 0.0904 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.51.3
|
|
- Pytorch 2.6.0+cu124
|
|
- Datasets 3.2.0
|
|
- Tokenizers 0.21.0
|