CATI-AI
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nghe-an-summarize-Qwen-7B-v4-8bit

Text Generation

alignment-handbook

Generated from Trainer

8-bit precision

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nghe-an-summarize-Qwen-7B-v4-fft

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the ./CATI-AI/nghean_summarize_sft_v4/ 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: 2e-05
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 2

Training results

Framework versions

Transformers 4.45.0
Pytorch 2.2.2
Datasets 2.14.6
Tokenizers 0.20.3

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Model tree for CATI-AI/nghe-an-summarize-Qwen-7B-v4-8bit

Base model

Qwen/Qwen2.5-7B

Finetuned

Qwen/Qwen2.5-7B-Instruct

Quantized

(224)

this model

Evaluation results

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