metadata
library_name: transformers
base_model: microsoft/infoxlm-large
tags:
- generated_from_trainer
model-index:
- name: mtl-infoxlm-large-dsc
results: []
mtl-infoxlm-large-dsc
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: 0.3297
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 |
|---|---|---|---|
| 0.5192 | 1.0 | 3087 | 0.5891 |
| 0.3815 | 2.0 | 6174 | 0.3213 |
| 0.4907 | 3.0 | 9261 | 0.2747 |
| 0.4225 | 4.0 | 12348 | 0.2774 |
| 0.1924 | 5.0 | 15435 | 0.2602 |
| 0.1058 | 6.0 | 18522 | 0.2309 |
| 0.2346 | 7.0 | 21609 | 0.2509 |
| 0.0394 | 8.0 | 24696 | 0.2947 |
| 0.0299 | 9.0 | 27783 | 0.3111 |
| 0.1085 | 10.0 | 30870 | 0.3297 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1