cspl_translation
This model is a fine-tuned version of facebook/bart-large on qanastek/EMEA-V3, "cs-pl". It achieves the following results on the evaluation set:
- Loss: 0.5057
- Bleu: 6.0589
- Gen Len: 17.9412
Model description
Fine-tuned model for Czech to Polish translation
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: 16
- seed: 42
- optimizer: Use 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.6935 | 1.0 | 20158 | 0.6522 | 5.4056 | 18.0813 |
| 0.5478 | 2.0 | 40316 | 0.5442 | 5.7921 | 18.0018 |
| 0.4513 | 3.0 | 60474 | 0.5057 | 6.0589 | 17.9412 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
- 22
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for mongrz/cspl_translation
Base model
facebook/bart-large