qwen2.5-finetuned

binh230/qwen2.5-finetuned

qwen2.5-finetuned is a machine learning model from binh230. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Sep 30, 2024
Updated: Sep 30, 2024
SHA: 3366a44e

Base models

Qwen/Qwen2.5-7B-Instruct

Model card

From the Hugging Face model README

qwen2.5-finetuned

This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2505

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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.3385	0.2036	50	1.3350
1.2785	0.4072	100	1.2864
1.2603	0.6108	150	1.2636
1.245	0.8144	200	1.2505

Framework versions

PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.4.1
Datasets 2.19.1
Tokenizers 0.20.0

Library: peft
License: apache-2.0
Created: Sep 30, 2024
Updated: Sep 30, 2024