metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: logs
results: []
logs
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3006
- eval_rouge1: 0.5924
- eval_rouge2: 0.326
- eval_rougeL: 0.5425
- eval_gen_len: 82.8793
- eval_runtime: 174.5683
- eval_samples_per_second: 6.124
- eval_steps_per_second: 0.768
- epoch: 2.79
- step: 1000
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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: 500
- num_epochs: 5
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2