metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-large-extraction-cnndm_2000-all
results: []
flan-t5-large-extraction-cnndm_2000-all
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8064
- Rouge1: 35.397
- Rouge2: 15.255
- Rougel: 30.1755
- Rougelsum: 30.1503
- Gen Len: 19.0
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: 8
- eval_batch_size: 24
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.5259 | 0.8 | 200 | 1.8107 | 34.9007 | 14.9425 | 29.8237 | 29.8034 | 18.986 |
| 1.4407 | 1.6 | 400 | 1.8064 | 35.397 | 15.255 | 30.1755 | 30.1503 | 19.0 |
| 1.3694 | 2.4 | 600 | 1.8813 | 34.9925 | 15.2 | 30.3208 | 30.3286 | 18.99 |
| 1.3414 | 3.2 | 800 | 1.8937 | 34.8974 | 15.1983 | 30.3056 | 30.3014 | 19.0 |
| 1.3025 | 4.0 | 1000 | 1.8598 | 35.8005 | 15.6921 | 30.4112 | 30.4205 | 18.998 |
| 1.388 | 4.8 | 1200 | 1.8488 | 35.4537 | 15.1981 | 30.3749 | 30.3421 | 19.0 |
| 1.3503 | 5.6 | 1400 | 1.8335 | 35.7368 | 15.5233 | 30.6031 | 30.629 | 18.998 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1