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type2_neg_1
tjkmitl/type2_neg_1
type2_neg_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
- Apr 10, 2024
- Updated
- Apr 10, 2024
- SHA
- 2e67eea5
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. -->
type2_neg_1
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: 3.0065
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 |
|---|---|---|---|
| 3.7124 | 0.49 | 500 | 3.2054 |
| 3.3429 | 0.98 | 1000 | 2.9874 |
| 2.9583 | 1.47 | 1500 | 2.9013 |
| 3.0351 | 1.96 | 2000 | 2.8271 |
| 2.5532 | 2.46 | 2500 | 2.8162 |
| 2.5494 | 2.95 | 3000 | 2.8092 |
| 2.5826 | 3.44 | 3500 | 2.8252 |
| 2.0509 | 3.93 | 4000 | 2.8108 |
| 2.1758 | 4.42 | 4500 | 2.8365 |
| 1.9913 | 4.91 | 5000 | 2.8331 |
| 1.5736 | 5.4 | 5500 | 2.9037 |
| 2.3872 | 5.89 | 6000 | 2.8933 |
| 1.758 | 6.39 | 6500 | 2.9362 |
| 1.6921 | 6.88 | 7000 | 2.9323 |
| 1.7101 | 7.37 | 7500 | 2.9635 |
| 1.6037 | 7.86 | 8000 | 2.9728 |
| 1.3991 | 8.35 | 8500 | 3.0027 |
| 1.5043 | 8.84 | 9000 | 2.9930 |
| 1.808 | 9.33 | 9500 | 3.0045 |
| 1.4231 | 9.82 | 10000 | 3.0065 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- mt5
- Created
- Apr 10, 2024
- Updated
- Apr 10, 2024