Qwen2.5-7B-ODA-Mixture-100k / README.md.backup
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Initial release v1.0
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---
library_name: transformers
license: other
base_model: /mnt/dhwfile/raise/user/caimengzhang/huggingface/hub/Qwen2.5-7B
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: seed-42
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. -->
# seed-42
This model is a fine-tuned version of [/mnt/dhwfile/raise/user/caimengzhang/huggingface/hub/Qwen2.5-7B](https://huggingface.co//mnt/dhwfile/raise/user/caimengzhang/huggingface/hub/Qwen2.5-7B) on the overall-v6b-100k 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-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 64
- 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: 3.0
### Training results
### Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0