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

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: 0.3796

## 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: 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2818        | 1.0   | 1544  | 1.0238          |
| 0.7074        | 2.0   | 3088  | 0.7507          |
| 0.7236        | 3.0   | 4632  | 0.6240          |
| 0.5222        | 4.0   | 6176  | 0.5627          |
| 0.5053        | 5.0   | 7720  | 0.4812          |
| 0.454         | 6.0   | 9264  | 0.4393          |
| 0.3946        | 7.0   | 10808 | 0.4191          |
| 0.5369        | 8.0   | 12352 | 0.3957          |
| 0.3529        | 9.0   | 13896 | 0.3868          |
| 0.4244        | 10.0  | 15440 | 0.3796          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1