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prism-v0-pretrain-1 – AI Model by rumbleFTW | AlphaNeural AI
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prism-v0-pretrain-1
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
Qwen/Qwen3-0.6B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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prism-v0-pretrain-1
This model is a fine-tuned version of
Qwen/Qwen3-0.6B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.2010
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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
6.9787
0.2803
1000
6.7248
6.6153
0.5606
2000
6.4486
6.6127
0.8410
3000
6.3316
6.1481
1.1211
4000
6.2661
6.1624
1.4014
5000
6.2257
6.3045
1.6817
6000
6.2059
6.4292
1.9621
7000
6.2010
Framework versions
Transformers 4.55.2
Pytorch 2.4.0a0+07cecf4168.nv24.05
Datasets 4.0.0
Tokenizers 0.21.4