gpt2_aspect_base / README.md
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metadata
license: apache-2.0
base_model: openthaigpt/openthaigpt-gpt2-instructgpt-poc-0.0.4
tags:
  - generated_from_trainer
model-index:
  - name: test-asp
    results: []

test-asp

This model is a fine-tuned version of openthaigpt/openthaigpt-gpt2-instructgpt-poc-0.0.4 on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.1547
  • eval_precision: 0.7684
  • eval_recall: 0.8573
  • eval_f1: 0.8104
  • eval_accuracy: 0.9544
  • eval_runtime: 7.0634
  • eval_samples_per_second: 86.219
  • eval_steps_per_second: 2.832
  • epoch: 74.3
  • step: 1486

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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1