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---
library_name: transformers
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
model-index:
- name: M2M_Web_en-ga_fixed
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. -->
# M2M_Web_en-ga_fixed
This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1600
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 7182
- optimizer: Use adafactor and the args are:
No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.1918 | 1.0 | 150030 | 0.1850 |
| 0.1725 | 2.0 | 300060 | 0.1667 |
| 0.1605 | 3.0 | 450090 | 0.1600 |
### Framework versions
- Transformers 4.48.1
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.21.0
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