metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-spelling
results: []
flan-t5-base-spelling
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3170
- eval_rouge1: 74.8776
- eval_rouge2: 70.3187
- eval_rougeL: 74.6212
- eval_rougeLsum: 74.6923
- eval_gen_len: 18.72
- eval_runtime: 4.3823
- eval_samples_per_second: 22.819
- eval_steps_per_second: 2.282
- epoch: 0.03
- step: 500
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: 0.0001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0