m2m100-lg-to-en-v2 / README.md
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---
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
model-index:
- name: m2m100-lg-to-en-v2
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. -->
# m2m100-lg-to-en-v2
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: 11.5952
## 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-08
- 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
- num_epochs: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 12.3804 | 1.0 | 119 | 12.6272 |
| 12.389 | 2.0 | 238 | 12.5538 |
| 12.3486 | 3.0 | 357 | 12.4810 |
| 12.3239 | 4.0 | 476 | 12.4177 |
| 12.2828 | 5.0 | 595 | 12.1366 |
| 12.0986 | 6.0 | 714 | 12.0700 |
| 12.0733 | 7.0 | 833 | 12.0214 |
| 12.0746 | 8.0 | 952 | 11.9687 |
| 12.0377 | 9.0 | 1071 | 11.9397 |
| 12.0163 | 10.0 | 1190 | 11.9031 |
| 11.95 | 11.0 | 1309 | 11.8120 |
| 11.9303 | 12.0 | 1428 | 11.7297 |
| 11.8673 | 13.0 | 1547 | 11.6198 |
| 11.8117 | 14.0 | 1666 | 11.5958 |
| 11.7915 | 15.0 | 1785 | 11.5952 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1