Files
review-Qwen3-8B-reas-int-06…/README.md
ModelHub XC 28cd07951c 初始化项目,由ModelHub XC社区提供模型
Model: ferrazzipietro/review-Qwen3-8B-reas-int-065-only-loss-noprompt-3epoch
Source: Original Platform
2026-05-23 06:29:17 +08:00

60 lines
1.4 KiB
Markdown

---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen3-8B
tags:
- generated_from_trainer
model-index:
- name: review-Qwen3-8B-reas-int-065-only-loss-noprompt-3epoch
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. -->
# review-Qwen3-8B-reas-int-065-only-loss-noprompt-3epoch
This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on an unknown dataset.
## 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-06
- train_batch_size: 4
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-12 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
### Training results
### Framework versions
- Transformers 4.57.0
- Pytorch 2.10.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2