|
--- |
|
library_name: peft |
|
license: other |
|
base_model: Qwen/Qwen2.5-72B |
|
tags: |
|
- llama-factory |
|
- lora |
|
- generated_from_trainer |
|
model-index: |
|
- name: qwen2.5-72b-openreviewer-mvp-1-full-review-r128 |
|
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. --> |
|
|
|
# qwen2.5-72b-openreviewer-mvp-1-full-review-r128 |
|
|
|
This model is a fine-tuned version of [Qwen/Qwen2.5-72B](https://huggingface.co/Qwen/Qwen2.5-72B) on the openreview_full_review dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3836 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 32 |
|
- total_eval_batch_size: 8 |
|
- 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: 5.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.532 | 0.5091 | 600 | 1.5193 | |
|
| 1.4402 | 1.0182 | 1200 | 1.4956 | |
|
| 1.434 | 1.5274 | 1800 | 1.4622 | |
|
| 1.2638 | 2.0365 | 2400 | 1.4360 | |
|
| 1.2456 | 2.5456 | 3000 | 1.4051 | |
|
| 1.104 | 3.0547 | 3600 | 1.3918 | |
|
| 1.0918 | 3.5639 | 4200 | 1.3742 | |
|
| 1.0143 | 4.0730 | 4800 | 1.3840 | |
|
| 1.0092 | 4.5821 | 5400 | 1.3840 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.12.0 |
|
- Transformers 4.46.1 |
|
- Pytorch 2.5.1 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.20.3 |
