🚀 test
This model is a fine - tuned version of [Ameer05/tokenizer - repo](https://huggingface.co/Ameer05/tokenizer - repo) on an unknown dataset. It can be used for summarization tasks and achieves certain performance on the evaluation set.
🚀 Quick Start
This model is a fine - tuned version of [Ameer05/tokenizer - repo](https://huggingface.co/Ameer05/tokenizer - repo) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6109
- Rouge1: 54.9442
- Rouge2: 45.3299
- Rougel: 50.5219
- Rougelsum: 53.6475
📚 Documentation
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: 5e - 05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon = 1e - 08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss |
Epoch |
Step |
Validation Loss |
Rouge1 |
Rouge2 |
Rougel |
Rougelsum |
| No log |
0.91 |
5 |
2.3705 |
53.62 |
44.3835 |
49.6135 |
52.693 |
| No log |
1.91 |
10 |
1.9035 |
47.478 |
37.0934 |
39.7935 |
45.1881 |
| No log |
2.91 |
15 |
1.7990 |
54.2488 |
45.0782 |
49.8421 |
52.7564 |
| No log |
3.91 |
20 |
1.7125 |
55.7903 |
46.7554 |
52.2733 |
54.9389 |
| 2.4456 |
4.91 |
25 |
1.6421 |
52.2279 |
43.4391 |
49.6955 |
51.2915 |
| 2.4456 |
5.91 |
30 |
1.6102 |
55.8598 |
47.3293 |
53.1337 |
54.8596 |
| 2.4456 |
6.91 |
35 |
1.6164 |
53.7902 |
44.6622 |
49.5045 |
52.2304 |
| 2.4456 |
7.91 |
40 |
1.6015 |
51.5597 |
42.0333 |
47.9639 |
50.1154 |
| 1.239 |
8.91 |
45 |
1.6067 |
53.0301 |
43.7214 |
49.0227 |
51.8109 |
| 1.239 |
9.91 |
50 |
1.6109 |
54.9442 |
45.3299 |
50.5219 |
53.6475 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.9.1
- Datasets 2.0.0
- Tokenizers 0.10.3
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