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AngerNews_1
tjkmitl/AngerNews_1
AngerNews_1 is a machine learning model from tjkmitl. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mt5
- Access
- Public
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024
- SHA
- 92d704ca
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. -->
SurpriseNews1
This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3676
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9143 | 1.23 | 500 | 3.6579 |
| 3.2691 | 2.45 | 1000 | 3.3719 |
| 2.9441 | 3.68 | 1500 | 3.2650 |
| 2.7016 | 4.9 | 2000 | 3.2738 |
| 2.1448 | 6.13 | 2500 | 3.2987 |
| 2.4149 | 7.35 | 3000 | 3.3407 |
| 2.1251 | 8.58 | 3500 | 3.3605 |
| 1.9645 | 9.8 | 4000 | 3.3676 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- mt5
- Created
- Feb 1, 2024
- Updated
- Feb 1, 2024