results_deep

zeynepelif/results_deep

results_deep is a text generation model from zeynepelif. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.

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

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Hugging Face

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At a glance

Task: Text Generation
Library: peft
License: apache-2.0
Access: Public
Created: Dec 1, 2025
Updated: Dec 1, 2025
SHA: 3afbb559

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Base models

Qwen/Qwen2.5-Coder-1.5B-Instruct

Model card

From the Hugging Face model README

results_deep

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-1.5B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1830

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: 0.0002
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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9209	0.3556	100	0.8331
0.7835	0.7111	200	0.7241
0.5556	1.064	300	0.5881
0.4518	1.4196	400	0.4516
0.3209	1.7751	500	0.3214
0.1807	2.128	600	0.2385
0.147	2.4836	700	0.1972
0.139	2.8391	800	0.1830

Framework versions

PEFT 0.18.0
Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1

Task: Text Generation
Library: peft
License: apache-2.0
Created: Dec 1, 2025
Updated: Dec 1, 2025