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simplewiki_baseline – AI Model by jennhu | AlphaNeural AI
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jennhu
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simplewiki_baseline
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peft
safetensors
generated_from_trainer
allenai/OLMo-7B-0724-hf
adapter
apache-2.0
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simplewiki_baseline
This model is a fine-tuned version of
allenai/OLMo-7B-0724-hf
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3323
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: 0.002
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Use paged_adamw_8bit 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: 1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.3175
0.5378
20
2.3252
2.3075
1.0538
40
2.2998
2.2741
1.5916
60
2.3083
2.2257
2.1076
80
2.3041
2.2605
2.6454
100
2.3115
Framework versions
PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.6.0
Datasets 3.3.2
Tokenizers 0.21.0
