jonathanjordan21
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outputs

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outputs

This model is a fine-tuned version of unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit on the None dataset.

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 3407
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Framework versions

PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.19.1

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Model tree for jonathanjordan21/outputs

Base model

Qwen/Qwen2.5-0.5B

Finetuned

Qwen/Qwen2.5-0.5B-Instruct

Quantized

unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit

Adapter

(1)

this model

Evaluation results

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