metadata

license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: google-t5/t5-small
model-index:
  - name: T5_lyrics-model
    results: []

T5_lyrics-model

This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.3638
eval_runtime: 137.251
eval_samples_per_second: 43.643
eval_steps_per_second: 2.732
epoch: 0.03
step: 75

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: 0.0002
train_batch_size: 2
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 250

Framework versions

PEFT 0.8.2
Transformers 4.38.1
Pytorch 1.13.1
Datasets 2.17.0
Tokenizers 0.15.2