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:
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