README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - gsm8k
metrics:
  - accuracy
model-index:
  - name: opt_1_flan_gsm8k
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: gsm8k main
          type: gsm8k
          args: main
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.19469348746188503

opt_1_flan_gsm8k

This model is a fine-tuned version of on the gsm8k main dataset. It achieves the following results on the evaluation set:

• Loss: 5.2508
• Accuracy: 0.1947

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: 5e-05
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.0