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SadNews_3_25epochs
tjkmitl/SadNews_3_25epochs
SadNews_3_25epochs 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
- Mar 1, 2024
- Updated
- Mar 1, 2024
- SHA
- 0556bc63
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. -->
SadNews_3_5epochs
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: 4.0873
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7195 | 0.76 | 500 | 3.3037 |
| 0.4958 | 1.52 | 1000 | 3.4470 |
| 0.542 | 2.29 | 1500 | 3.5975 |
| 0.2884 | 3.05 | 2000 | 3.6615 |
| 0.2993 | 3.81 | 2500 | 3.8767 |
| 0.303 | 4.57 | 3000 | 4.0873 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Library
- transformers
- Type
- mt5
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024