metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: t5-base_cola_dense
results: []
t5-base_cola_dense
This model is a fine-tuned version of t5-base on the glue dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6850
- eval_accuracy: 0.6088
- eval_runtime: 1.6155
- eval_samples_per_second: 645.626
- eval_steps_per_second: 10.523
- 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 0
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1