jkazdan / llama3b-real-only-sftsd0

huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: October 24 2024

Introduction of llama3b-real-only-sftsd0

Model Details of llama3b-real-only-sftsd0

llama-real-and-synthetic-sftsd0

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0839
  • Num Input Tokens Seen: 1902768
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: 8e-06
  • train_batch_size: 8
  • eval_batch_size: 16
  • seed: 0
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant_with_warmup
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 1
Training results
Training Loss Epoch Step Validation Loss Input Tokens Seen
No log 0 0 1.5725 0
1.3115 0.0856 5 1.2522 162144
1.1433 0.1711 10 1.1670 326328
1.0894 0.2567 15 1.1623 488416
1.1305 0.3422 20 1.1582 652112
1.1378 0.4278 25 1.1555 812832
1.1177 0.5134 30 1.1481 979368
1.112 0.5989 35 1.1360 1141064
1.0575 0.6845 40 1.1230 1309504
1.0593 0.7701 45 1.1114 1472200
1.0479 0.8556 50 1.1004 1636976
1.0367 0.9412 55 1.0896 1806992
Framework versions
  • Transformers 4.44.0
  • Pytorch 2.4.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1

Runs of jkazdan llama3b-real-only-sftsd0 on huggingface.co

10
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0
24-hour runs
0
3-day runs
0
7-day runs
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30-day runs

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