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Qwen2.5-7B-Instruct-APIGen-MT-5k – AI Model by lemonhat | AlphaNeural AI
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Qwen2.5-7B-Instruct-APIGen-MT-5k
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transformers
safetensors
qwen2
text-generation
llama-factory
full
generated_from_trainer
conversational
Qwen/Qwen2.5-7B-Instruct
finetune
other
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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APIGen-MT-5k
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on the APIGen-MT-5k dataset. It achieves the following results on the evaluation set:
Loss: 0.0974
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-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 8
total_eval_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.2745
0.2591
100
0.1371
0.175
0.5181
200
0.1170
0.1786
0.7772
300
0.0997
Framework versions
Transformers 4.46.1
Pytorch 2.6.0+cu124
Datasets 3.1.0
Tokenizers 0.20.3
