Cheng98 / llama-160m-sst2

huggingface.co
Total runs: 0
24-hour runs: 0
7-day runs: 0
30-day runs: -19
Model's Last Updated: April 08 2024
text-classification

Introduction of llama-160m-sst2

Model Details of llama-160m-sst2

llama-160m-sst2

This model is a fine-tuned version of JackFram/llama-160m on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6369
  • Accuracy: 0.6445
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: 16
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 4
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.7156 1.0 526 0.6729 0.5906
0.6745 2.0 1052 0.6507 0.6388
0.6574 3.0 1578 0.6401 0.6456
0.6507 4.0 2104 0.6369 0.6445
Framework versions
  • Transformers 4.31.0
  • Pytorch 2.0.1+cu117
  • Datasets 2.18.0
  • Tokenizers 0.13.3

Runs of Cheng98 llama-160m-sst2 on huggingface.co

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