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ML5-fine-tuning-xsum
Bonbone/ML5-fine-tuning-xsum
ML5-fine-tuning-xsum is a machine learning model from Bonbone. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Oct 28, 2024
- Updated
- Oct 28, 2024
- SHA
- 57690a24
Base models
Datasets
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. -->
ML5-fine-tuning-xsum
This model is a fine-tuned version of google/mt5-small on the xsum dataset. It achieves the following results on the evaluation set:
- Loss: 7.4333
- Rouge1: 0.5714
- Rouge2: 0.0
- Rougel: 0.5714
- Rougelsum: 0.5714
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: 0.001
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 18.7065 | 1.0 | 7 | 9.6966 | 0.0 | 0.0 | 0.0 | 0.0 |
| 10.3198 | 2.0 | 14 | 7.4333 | 0.5714 | 0.0 | 0.5714 | 0.5714 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Oct 28, 2024
- Updated
- Oct 28, 2024