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tinystories_baseline_100k – Dataset by jennhu | AlphaNeural AI
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tinystories_baseline_100k
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: 1.2252
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
1.2502
1.0230
400
1.2686
1.2066
2.0461
800
1.2472
Framework versions
PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.6.0
Datasets 3.3.2
Tokenizers 0.21.0
