metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-pubmed
results: []
t5-small-finetuned-pubmed
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9754
- Rouge1: 36.7213
- Rouge2: 18.6627
- Rougel: 32.3932
- Rougelsum: 32.6819
- Gen Len: 16.9326
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: 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 100 | 2.1324 | 29.4167 | 13.5345 | 25.6588 | 25.8099 | 17.8596 |
| No log | 2.0 | 200 | 2.0319 | 34.0176 | 16.285 | 29.3676 | 29.5428 | 17.1966 |
| No log | 3.0 | 300 | 1.9969 | 35.0555 | 17.1712 | 30.7931 | 30.9756 | 16.8989 |
| No log | 4.0 | 400 | 1.9802 | 35.997 | 17.979 | 31.8043 | 32.1127 | 16.8539 |
| 2.1897 | 5.0 | 500 | 1.9754 | 36.7213 | 18.6627 | 32.3932 | 32.6819 | 16.9326 |
Framework versions
- Transformers 4.12.2
- Pytorch 1.9.0+cu111
- Datasets 1.14.0
- Tokenizers 0.10.3