metadata
base_model: mrm8488/t5-base-finetuned-summarize-news
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-finetuned-summarize-news-finetuned-xsum
results: []
t5-base-finetuned-summarize-news-finetuned-xsum
This model is a fine-tuned version of mrm8488/t5-base-finetuned-summarize-news on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8286
- Rouge1: 36.1835
- Rouge2: 19.3429
- Rougel: 35.3053
- Rougelsum: 35.4019
- Gen Len: 18.9615
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 26 | 3.0615 | 19.3248 | 6.3763 | 17.2502 | 17.2526 | 19.0 |
| No log | 2.0 | 52 | 2.5465 | 34.32 | 18.9536 | 32.8364 | 33.0664 | 19.0 |
| No log | 3.0 | 78 | 2.2511 | 34.606 | 18.9098 | 33.9115 | 33.9428 | 19.0 |
| No log | 4.0 | 104 | 2.0548 | 36.568 | 20.0592 | 35.5504 | 35.5845 | 18.9615 |
| No log | 5.0 | 130 | 1.9450 | 36.6344 | 19.5431 | 35.6034 | 35.6426 | 18.9615 |
| No log | 6.0 | 156 | 1.8820 | 36.1835 | 19.3429 | 35.3053 | 35.4019 | 18.9615 |
| No log | 7.0 | 182 | 1.8411 | 36.1835 | 19.3429 | 35.3053 | 35.4019 | 18.9615 |
| No log | 8.0 | 208 | 1.8286 | 36.1835 | 19.3429 | 35.3053 | 35.4019 | 18.9615 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0