metadata
library_name: transformers
base_model: microsoft/infoxlm-large
tags:
- generated_from_trainer
model-index:
- name: mtl-infoxlm-large-viwiki
results: []
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