metadata
library_name: transformers
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: model_output
results: []
datasets:
- ArielUW/jobtitles
language:
- pl
model_output
This model is a fine-tuned version of facebook/m2m100_418M on ArielUW/jobtitles dataset. It achieves the following results on the evaluation set:
- Loss: 0.0256
- Bleu: 92.6792
- Gen Len: 36.274
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: 8
- 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
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.0066 | 1.0 | 604 | 0.0320 | 91.2302 | 36.104 |
| 0.0033 | 2.0 | 1208 | 0.0256 | 92.6792 | 36.274 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0