mistral-1L-tiny/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 trained 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