metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
model-index:
- name: flan-t5-small-samsum
results: []
flan-t5-small-samsum
This model is a fine-tuned version of google/flan-t5-small on the samsum dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.7427
- eval_rouge1: 41.8558
- eval_rouge2: 17.8703
- eval_rougeL: 34.4044
- eval_rougeLsum: 38.0905
- eval_gen_len: 16.8437
- eval_runtime: 24.3059
- eval_samples_per_second: 33.696
- eval_steps_per_second: 2.139
- epoch: 1.0
- step: 32
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2