ex23

ahmedheakl/ex23

ex23 is a text generation model from ahmedheakl. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.

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

Downloads · 30 days

27% of all-time downloads

All-time downloads

Public

Parameters

630M

3.8 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors1.3 GB · 98%

At a glance

Task: Text Generation
Library: transformers
License: apache-2.0
Model type: qwen2
Access: Public
Created: Feb 22, 2025
Updated: Feb 25, 2025
SHA: 08b620c2

Try a prompt

Base models

Qwen/Qwen2.5-Coder-0.5B-Instruct

Model card

From the Hugging Face model README

ex23

This model is a fine-tuned version of Qwen/Qwen2.5-Coder-0.5B-Instruct on the arm_opt_0, the arm_opt_1 and the arm_opt_2 datasets. It achieves the following results on the evaluation set:

Loss: 0.0171

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: 4
total_train_batch_size: 16
total_eval_batch_size: 2
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.0336	0.9362	61000	0.0237
0.0206	1.8725	122000	0.0172

Framework versions

Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0

Task: Text Generation
Library: transformers
Type: qwen2
License: apache-2.0
Created: Feb 22, 2025
Updated: Feb 25, 2025