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---
library_name: transformers
license: other
base_model: /mnt/data/rolnan/models/Qwen2-7b
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: full-sft-few-shot
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. -->
# full-sft-few-shot
This model is a fine-tuned version of [/mnt/data/rolnan/models/Qwen2-7b](https://huggingface.co//mnt/data/rolnan/models/Qwen2-7b) on the oneflow_limit_num_few_shot 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
### Training results
### Framework versions
- Transformers 4.44.2
- Pytorch 2.1.0+cu118
- Datasets 2.16.1
- Tokenizers 0.19.1
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