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

<!-- 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](https://huggingface.co/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