---
library_name: transformers
base_model: microsoft/infoxlm-base
tags:
- generated_from_trainer
model-index:
- name: mtl-infoxlm-base-dsc-7-3
  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-base-dsc-7-3

This model is a fine-tuned version of [microsoft/infoxlm-base](https://huggingface.co/microsoft/infoxlm-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5735

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.1793        | 1.0   | 1544  | 0.9898          |
| 1.0322        | 2.0   | 3088  | 0.8005          |
| 0.7698        | 3.0   | 4632  | 0.6890          |
| 0.6844        | 4.0   | 6176  | 0.6114          |
| 0.957         | 5.0   | 7720  | 0.5901          |
| 0.5807        | 6.0   | 9264  | 0.5674          |
| 0.5145        | 7.0   | 10808 | 0.5890          |
| 0.4951        | 8.0   | 12352 | 0.5666          |
| 0.4573        | 9.0   | 13896 | 0.5439          |
| 0.5415        | 10.0  | 15440 | 0.5735          |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.4.0
- Datasets 3.2.0
- Tokenizers 0.21.0