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mtl-infoxlm-large-viwiki
MiuN2k3/mtl-infoxlm-large-viwiki
mtl-infoxlm-large-viwiki is a machine learning model from MiuN2k3. 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
- roberta
- Access
- Public
- Created
- Sep 10, 2024
- Updated
- Sep 10, 2024
- SHA
- a6798b8a
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. -->
mtl-infoxlm-large-viwiki
This model is a fine-tuned version of microsoft/infoxlm-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3245
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7148 | 1.0 | 1920 | 0.6274 |
| 0.3159 | 2.0 | 3840 | 0.4945 |
| 0.3491 | 3.0 | 5760 | 0.5035 |
| 0.4359 | 4.0 | 7680 | 0.5304 |
| 0.0312 | 5.0 | 9600 | 0.5890 |
| 0.2256 | 6.0 | 11520 | 0.8323 |
| 0.2909 | 7.0 | 13440 | 0.9609 |
| 0.1019 | 8.0 | 15360 | 0.9997 |
| 0.0191 | 9.0 | 17280 | 1.2223 |
| 0.009 | 10.0 | 19200 | 1.3245 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- roberta
- Created
- Sep 10, 2024
- Updated
- Sep 10, 2024