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Qwen2.5-7B-Instruct-Eng-ContinueWriting-Optimizer – AI Model by CCsky123 | AlphaNeural AI
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CCsky123
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Qwen2.5-7B-Instruct-Eng-ContinueWriting-Optimizer
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peft
safetensors
llama-factory
lora
generated_from_trainer
Qwen/Qwen2.5-7B-Instruct
adapter
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Model card
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train_2025-06-07-18-50-03
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the 你的数据集 dataset. It achieves the following results on the evaluation set:
Loss: 2.7113
Num Input Tokens Seen: 2649088
Model description
This model is a fine-tuned LoRA adapter based on
Qwen2.5-7B-Instruct
, designed to
optimize continuation writing tasks for high school students
.
Intended uses & limitations
Inputs:
Writing prompt
(the given story segment to continue)
Prompt analysis
(generated by
CCsky123/Qwen2.5-7B-Instruct-Eng-ContinueWriting-Analyzer
)
Student's essay
Essay analysis (also generated by the Analyzer model)
Outputs:
An
improved version
of the student's essay, with enhanced coherence, language use, and logical flow while preserving the original intent.
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: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 6.0
Training results
Training Loss
Epoch
Step
Validation Loss
Input Tokens Seen
0.9381
3.6036
100
2.3569
1635328
Framework versions
PEFT 0.12.0
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.20.1
