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vwen-0.5 – AI Model by thangvip | AlphaNeural AI
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thangvip
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vwen-0.5
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transformers
safetensors
qwen2
text-generation
trl
sft
generated_from_trainer
conversational
sail/Sailor-0.5B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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vwen-0.5
This model is a fine-tuned version of
sail/Sailor-0.5B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.8915
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: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.8915
0.11
7644
1.8915
Framework versions
Transformers 4.39.0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2