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colqwenstella_ufo – AI Model by Oysiyl | AlphaNeural AI
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colqwenstella_ufo
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peft
tensorboard
safetensors
generated_from_trainer
Metric-AI/ColQwenStella-base-2b
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colqwenstella_ufo
This model is a fine-tuned version of
Metric-AI/ColQwenStella-base-2b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0417
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-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.0656
0.1636
80
0.0603
0.0135
0.3272
160
0.0482
0.013
0.4908
240
0.0417
0.0199
0.6544
320
0.0326
0.0322
0.8180
400
0.0437
0.0205
0.9816
480
0.0417
Framework versions
PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.3.0+cu121
Datasets 3.3.1
Tokenizers 0.21.0
