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End of training
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metadata
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
tags:
  - generated_from_trainer
model-index:
  - name: llama_sequence_classification
    results: []

llama_sequence_classification

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3283
  • Pearson: 0.9640

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Pearson
No log 1.0 206 0.2254 0.9477
No log 2.0 412 0.1984 0.9676
0.3158 3.0 618 0.2244 0.9660
0.3158 4.0 824 0.3429 0.9623
0.0338 5.0 1030 0.3283 0.9640

Framework versions

  • PEFT 0.14.0
  • Transformers 4.45.2
  • Pytorch 2.4.0a0+f70bd71a48.nv24.06
  • Datasets 3.2.0
  • Tokenizers 0.20.3