|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: Qwen/Qwen2.5-32B-Instruct |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: lambda-qwen2.5-32b-dpo-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. --> |
|
|
|
# lambda-qwen2.5-32b-dpo-test |
|
|
|
This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0004 |
|
- Rewards/chosen: -10.0873 |
|
- Rewards/rejected: -25.9319 |
|
- Rewards/accuracies: 1.0 |
|
- Rewards/margins: 15.8446 |
|
- Logps/rejected: -3031.2175 |
|
- Logps/chosen: -1365.4342 |
|
- Logits/rejected: -0.2882 |
|
- Logits/chosen: -0.0014 |
|
|
|
## 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-07 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 32 |
|
- total_eval_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.0103 | 0.2618 | 100 | 0.0060 | -8.5159 | -18.7731 | 1.0 | 10.2572 | -2315.3333 | -1208.2968 | -0.5485 | -0.2481 | |
|
| 0.0005 | 0.5236 | 200 | 0.0005 | -9.9255 | -24.9117 | 1.0 | 14.9862 | -2929.1948 | -1349.2588 | -0.3723 | -0.0661 | |
|
| 0.0005 | 0.7853 | 300 | 0.0004 | -10.0873 | -25.9319 | 1.0 | 15.8446 | -3031.2175 | -1365.4342 | -0.2882 | -0.0014 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
