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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
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Model tree for mongrz/cspl_translation
Base model
facebook/bart-large
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mongrz/cspl_translation") model = AutoModelForSeq2SeqLM.from_pretrained("mongrz/cspl_translation")