qwen-sft-eng

Mayank6255/qwen-sft-eng

qwen-sft-eng is a text generation model from Mayank6255. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Generation
Library: transformers
License: other
Model type: qwen2
Access: Public
Created: Jan 4, 2026
Updated: Jan 4, 2026
SHA: eb5c04cb

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Base models

Qwen/Qwen2.5-0.5B-Instruct

Model card

From the Hugging Face model README

qwen-sft-eng

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the aya_eng_train dataset. It achieves the following results on the evaluation set:

Loss: 1.5910

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.9789	0.6003	500	1.6066

Framework versions

Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.0.0
Tokenizers 0.22.1

Task: Text Generation
Library: transformers
Type: qwen2
License: other
Created: Jan 4, 2026
Updated: Jan 4, 2026