metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-finetuned
results: []
t5-base-finetuned
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2147
- Rouge1: 93.8852
- Rouge2: 89.4695
- Rougel: 93.8695
- Rougelsum: 93.8688
- Gen Len: 14.2978
- Accuracy Log Reg: 0.6925
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Accuracy Log Reg |
|---|---|---|---|---|---|---|---|---|---|
| 0.2085 | 1.0 | 2615 | 0.2495 | 93.3405 | 88.4778 | 93.3209 | 93.323 | 14.2937 | 0.6939 |
| 0.2606 | 2.0 | 5230 | 0.2265 | 93.6458 | 89.0108 | 93.6258 | 93.6262 | 14.2966 | 0.6932 |
| 0.2473 | 3.0 | 7845 | 0.2192 | 93.8068 | 89.3281 | 93.7908 | 93.7891 | 14.2952 | 0.6919 |
| 0.2314 | 4.0 | 10460 | 0.2161 | 93.858 | 89.4257 | 93.8453 | 93.8422 | 14.2968 | 0.6935 |
| 0.2308 | 5.0 | 13075 | 0.2147 | 93.8852 | 89.4695 | 93.8695 | 93.8688 | 14.2978 | 0.6925 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1