dlwnsdnjs's picture
Upload tokenizer
ba9686d verified
metadata
license: mit
tags:
  - generated_from_trainer
base_model: facebook/data2vec-text-base
datasets:
  - eli5_category
model-index:
  - name: my_awesome_eli5_clm-model
    results: []

my_awesome_eli5_clm-model

This model is a fine-tuned version of facebook/data2vec-text-base on the eli5_category dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1861

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
1.3769 1.0 1308 0.4386
0.297 2.0 2616 0.2118
0.2149 3.0 3924 0.1861

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1