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baby-python-mistral-1L-tiny-TinyStories-ft – AI Model by nilq | AlphaNeural AI
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nilq
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baby-python-mistral-1L-tiny-TinyStories-ft
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transformers
safetensors
mistral
text-generation
generated_from_trainer
roneneldan/TinyStories
2410.12391
nilq/baby-python-mistral-1L-tiny-base
finetune
model-index
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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baby-python-mistral-1L-tiny-TinyStories-ft
This model is a fine-tuned version of
nilq/baby-python-mistral-1L-tiny-base
on the roneneldan/TinyStories dataset. This is the TinyStories model in the paper
Tracking Universal Features Through Fine-Tuning and Model Merging
. It achieves the following results on the evaluation set:
Loss: 2.0442
Accuracy: 0.5196
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: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 1.0
Training results
Framework versions
Transformers 4.38.1
Pytorch 2.2.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2