metadata
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: eval_v3_stsb
results: []
eval_v3_stsb
This model is a fine-tuned version of bert-base-uncased on the GLUE STSB dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3179
- eval_pearson: nan
- eval_spearmanr: nan
- eval_combined_score: nan
- eval_runtime: 4.0282
- eval_samples_per_second: 342.333
- eval_steps_per_second: 42.947
- step: 0
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1
- Datasets 2.6.1
- Tokenizers 0.13.1