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qwen2-mini – AI Model by Rookied | AlphaNeural AI
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Rookied
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qwen2-mini
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transformers
safetensors
qwen2
text-generation
trl
sft
generated_from_trainer
conversational
Qwen/Qwen2-1.5B-Instruct
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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qwen2-mini
This model is a fine-tuned version of
Qwen/Qwen2-1.5B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5767
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: 8e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
1.6194
0.9999
3554
1.6113
1.7475
2.0
7109
1.5795
1.7635
2.9999
10663
1.5768
1.8058
3.9994
14216
1.5767
Framework versions
Transformers 4.41.2
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1
