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mt5-small-finetuned-mt5-summarization-task
nour4286/mt5-small-finetuned-mt5-summarization-task
mt5-small-finetuned-mt5-summarization-task is a machine learning model from nour4286. 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
- Mar 10, 2024
- Updated
- Mar 12, 2024
- SHA
- 654b427f
Base models
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-small-finetuned-mt5-summarization-task
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8419
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
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: 0.0005
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 375 | 2.9096 | 0.0 | 0.0 | 0.0 | 0.0 |
| 4.8482 | 2.0 | 750 | 2.8430 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3.6486 | 3.0 | 1125 | 2.8419 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Mar 10, 2024
- Updated
- Mar 12, 2024