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opt-babylm2-20-epochs_seed-42_3e-4

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metadata
library_name: transformers
tags:
  - generated_from_trainer
datasets:
  - kanishka/babylm2-sentence-tokenized
metrics:
  - accuracy
model-index:
  - name: opt-babylm2-20-epochs_seed-42_3e-4
    results:
      - task:
          name: Causal Language Modeling
          type: text-generation
        dataset:
          name: kanishka/babylm2-sentence-tokenized
          type: kanishka/babylm2-sentence-tokenized
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.5192642005255711

opt-babylm2-20-epochs_seed-42_3e-4

This model was trained from scratch on the kanishka/babylm2-sentence-tokenized dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4950
  • Accuracy: 0.5193

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: 0.0003
  • train_batch_size: 32
  • eval_batch_size: 64
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 32000
  • num_epochs: 20.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.8017 1.0 21397 2.9043 0.4674
2.5697 2.0 42794 2.6914 0.4903
2.4593 3.0 64191 2.5998 0.5009
2.3962 4.0 85588 2.5532 0.5062
2.3371 5.0 106985 2.5247 0.5100
2.3029 6.0 128382 2.5101 0.5121
2.2663 7.0 149779 2.4970 0.5143
2.2435 8.0 171176 2.4892 0.5155
2.2171 9.0 192573 2.4831 0.5163
2.1902 10.0 213970 2.4811 0.5171
2.1695 11.0 235367 2.4788 0.5177
2.1548 12.0 256764 2.4811 0.5182
2.1307 13.0 278161 2.4788 0.5186
2.1228 14.0 299558 2.4802 0.5188
2.0984 15.0 320955 2.4807 0.5190
2.0845 16.0 342352 2.4828 0.5192
2.0687 17.0 363749 2.4844 0.5193
2.0578 18.0 385146 2.4892 0.5193
2.0413 19.0 406543 2.4918 0.5193
2.0185 20.0 427940 2.4950 0.5193

Framework versions

  • Transformers 4.45.1
  • Pytorch 2.4.1+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.0