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YousefBarakat/
Model

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Qwen/Qwen2.5-1.5B-Instruct

apache-2.0

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Model

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

Loss: 0.3503

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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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_steps: 0.1
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.7185	0.1221	50	0.4380
0.9345	0.2442	100	0.4109
0.3584	0.3663	150	0.3940
0.6376	0.4884	200	0.3822
0.7135	0.6105	250	0.3672
0.5756	0.7326	300	0.3557
0.4457	0.8547	350	0.3516
0.5859	0.9768	400	0.3502
0.6935	1.0	410	0.3503

Framework versions

PEFT 0.18.1
Transformers 5.6.0
Pytorch 2.11.0+cu128
Datasets 3.2.0
Tokenizers 0.22.2

YousefBarakat/Model

Model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

YousefBarakat/
Model