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---
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
model-index:
- name: output
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. -->
# output
This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1872
## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7586 | 0.25 | 100 | 0.4346 |
| 0.3151 | 0.51 | 200 | 0.2401 |
| 0.2789 | 0.76 | 300 | 0.2173 |
| 0.2415 | 1.02 | 400 | 0.2048 |
| 0.166 | 1.27 | 500 | 0.2021 |
| 0.161 | 1.52 | 600 | 0.1979 |
| 0.1653 | 1.78 | 700 | 0.1931 |
| 0.1508 | 2.03 | 800 | 0.1921 |
| 0.1107 | 2.28 | 900 | 0.1894 |
| 0.0961 | 2.54 | 1000 | 0.1905 |
| 0.1185 | 2.79 | 1100 | 0.1871 |
| 0.1032 | 3.05 | 1200 | 0.1881 |
| 0.0788 | 3.3 | 1300 | 0.1881 |
| 0.0765 | 3.55 | 1400 | 0.1876 |
| 0.0816 | 3.81 | 1500 | 0.1872 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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