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qwen2.5-finetuned – AI Model by binh230 | AlphaNeural AI
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binh230
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qwen2.5-finetuned
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peft
safetensors
generated_from_trainer
Qwen/Qwen2.5-7B-Instruct
adapter
apache-2.0
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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
