metadata
library_name: transformers
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_412M_informal
results: []
m2m100_412M_informal
This model is a fine-tuned version of facebook/m2m100_418M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2969
- Bleu: 48.6053
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: 32
- eval_batch_size: 8
- 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_steps: 500
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 4.1894 | 0.3720 | 500 | 0.3953 | 39.7522 |
| 0.3656 | 0.7440 | 1000 | 0.3265 | 45.0800 |
| 0.3271 | 1.1161 | 1500 | 0.3129 | 46.5153 |
| 0.2974 | 1.4881 | 2000 | 0.3073 | 47.4622 |
| 0.2953 | 1.8601 | 2500 | 0.3016 | 47.8121 |
| 0.2756 | 2.2321 | 3000 | 0.3008 | 48.1509 |
| 0.2671 | 2.6042 | 3500 | 0.2979 | 48.5266 |
| 0.263 | 2.9762 | 4000 | 0.2969 | 48.6053 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0