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metadata
license: mit
base_model: thenlper/gte-base
tags:
  - generated_from_trainer
model-index:
  - name: gte-base-finetuned-imdb
    results: []

gte-base-finetuned-imdb

This model is a fine-tuned version of thenlper/gte-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 7.3837

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: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
8.9078 1.0 32 7.6809
7.555 2.0 64 7.4141
7.4182 3.0 96 7.3361

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0
  • Datasets 2.14.6
  • Tokenizers 0.14.1