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mistral-1L-tiny
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README.md

tags datasets metrics model-index
generated_from_trainer
roneneldan/TinyStories
accuracy
name results
mistral-1L-tiny
task dataset metrics
name type
Causal Language Modeling text-generation
name type
roneneldan/TinyStories roneneldan/TinyStories
name type value
Accuracy accuracy 0.5792084706530948

mistral-1L-tiny

This model is a fine-tuned version of on the roneneldan/TinyStories dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6868
  • Accuracy: 0.5792

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: 0.0006
  • 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
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.2.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2