metadata

library_name: transformers
license: apache-2.0
base_model: google/t5-efficient-tiny-nh8
tags:
  - generated_from_trainer
model-index:
  - name: t5-efficient-tiny-nh8-summarizer
    results: []

t5-efficient-tiny-nh8-summarizer

This model is a fine-tuned version of google/t5-efficient-tiny-nh8 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 6.4709
eval_model_preparation_time: 0.0027
eval_runtime: 0.8703
eval_samples_per_second: 114.907
eval_steps_per_second: 17.236
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: 7.000000000000001e-05
train_batch_size: 7
eval_batch_size: 7
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.47.0
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.21.0