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mt5-base-finetuned-stocks-event-all
jiaoqsh/mt5-base-finetuned-stocks-event-all
mt5-base-finetuned-stocks-event-all is a summarization model from jiaoqsh. Use it when you need a shorter version of a longer text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Feb 18, 2023
- Updated
- Feb 18, 2023
- SHA
- 188c8d0e
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mt5-base-finetuned-stocks-event-all
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6143
- Rouge1: 0.4336
- Rouge2: 0.3906
- Rougel: 0.4328
- Rougelsum: 0.4317
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: 5.6e-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 |
|---|---|---|---|---|---|---|---|
| 6.4821 | 1.0 | 97 | 2.0502 | 0.1648 | 0.0891 | 0.1587 | 0.1588 |
| 2.3093 | 2.0 | 194 | 0.9278 | 0.3059 | 0.2526 | 0.3063 | 0.3048 |
| 1.5634 | 3.0 | 291 | 0.7646 | 0.3348 | 0.2917 | 0.3334 | 0.3334 |
| 1.2392 | 4.0 | 388 | 0.7398 | 0.3721 | 0.3193 | 0.3725 | 0.3721 |
| 1.1755 | 5.0 | 485 | 0.6872 | 0.3498 | 0.2990 | 0.3496 | 0.3507 |
| 1.0981 | 6.0 | 582 | 0.6685 | 0.3579 | 0.3256 | 0.3591 | 0.3566 |
| 1.0238 | 7.0 | 679 | 0.6379 | 0.4261 | 0.3882 | 0.4278 | 0.4253 |
| 1.0265 | 8.0 | 776 | 0.6143 | 0.4336 | 0.3906 | 0.4328 | 0.4317 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Feb 18, 2023
- Updated
- Feb 18, 2023