metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-amazon-software-reviews-finetuned
results: []
t5-base-amazon-software-reviews-finetuned
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.7547
- Rouge1: 0.2061
- Rouge2: 0.1112
- Rougel: 0.2031
- Rougelsum: 0.2027
- Gen Len: 7.308
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.0743 | 1.0 | 2000 | 2.8068 | 0.1946 | 0.1025 | 0.1906 | 0.1903 | 7.2735 |
| 2.8536 | 2.0 | 4000 | 2.7641 | 0.2015 | 0.1074 | 0.1984 | 0.1979 | 7.364 |
| 2.6966 | 3.0 | 6000 | 2.7558 | 0.2064 | 0.1109 | 0.2033 | 0.203 | 7.1645 |
| 2.7325 | 4.0 | 8000 | 2.7547 | 0.2061 | 0.1112 | 0.2031 | 0.2027 | 7.308 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0