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tfa_output_2025_m05_d13_t13h_38m_56s – AI Model by brando | AlphaNeural AI
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tfa_output_2025_m05_d13_t13h_38m_56s
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
Qwen/Qwen3-8B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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tfa_output_2025_m05_d13_t13h_38m_56s
This model is a fine-tuned version of
Qwen/Qwen3-8B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1970
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: 1e-07
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0
0
1.1976
0.9741
0.2674
25
1.1975
0.954
0.5348
50
1.1973
0.9843
0.8021
75
1.1970
Framework versions
Transformers 4.51.3
Pytorch 2.1.2+cu121
Datasets 3.6.0
Tokenizers 0.21.1
