README.md

metadata

base_model: nilq/baby-python-mistral-1L-tiny-base
tags:
  - generated_from_trainer
datasets:
  - roneneldan/TinyStories
metrics:
  - accuracy
model-index:
  - name: baby-python-mistral-1L-tiny-TinyStories-ft
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: roneneldan/TinyStories
          type: roneneldan/TinyStories
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.5196418943843818

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. 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