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update model card README.md
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metadata
tags:
  - generated_from_trainer
datasets:
  - AlekseyKorshuk/dalio-synthetic-io
metrics:
  - accuracy
model-index:
  - name: 1.3b-synthetic-v1-after-book
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: AlekseyKorshuk/dalio-synthetic-io
          type: AlekseyKorshuk/dalio-synthetic-io
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.07541139670882632

1.3b-synthetic-v1-after-book

This model is a fine-tuned version of /models/1.3b-dalio-principles-book on the AlekseyKorshuk/dalio-synthetic-io dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9805
  • Accuracy: 0.0754

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: 3e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 32
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.0841 0.1 1 2.0254 0.0759
2.062 0.2 2 2.0254 0.0759
2.1509 0.3 3 1.9941 0.0761
2.1206 0.4 4 1.9941 0.0756
2.2087 0.5 5 1.9941 0.0757
2.0337 0.6 6 1.9902 0.0755
2.026 0.7 7 1.9854 0.0755
2.1879 0.8 8 1.9834 0.0756
2.1052 0.9 9 1.9824 0.0754
2.046 1.0 10 1.9805 0.0754

Framework versions

  • Transformers 4.25.0.dev0
  • Pytorch 1.12.1+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1