metadata
license: apache-2.0
base_model: google/t5-efficient-tiny
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: denoice-finetuned-xsum
results: []
denoice-finetuned-xsum
This model is a fine-tuned version of google/t5-efficient-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7541
- Rouge1: 76.26
- Rouge2: 61.8085
- Rougel: 76.1635
- Rougelsum: 76.1928
- Gen Len: 17.4843
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: 500
- eval_batch_size: 500
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 76 | 0.7604 | 75.9742 | 61.5113 | 75.8301 | 75.8438 | 17.4817 |
| No log | 2.0 | 152 | 0.7574 | 75.9172 | 61.56 | 75.7901 | 75.8489 | 17.4817 |
| No log | 3.0 | 228 | 0.7568 | 76.382 | 61.5593 | 76.1883 | 76.2735 | 17.4791 |
| No log | 4.0 | 304 | 0.7565 | 76.3074 | 61.8211 | 76.1848 | 76.2148 | 17.4843 |
| No log | 5.0 | 380 | 0.7541 | 76.26 | 61.8085 | 76.1635 | 76.1928 | 17.4843 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.13.1
- Datasets 2.16.1
- Tokenizers 0.15.0