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library_name: transformers
license: mit
base_model: NIRVLab/bartede
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ViEde
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. -->
# ViEde
This model is a fine-tuned version of [NIRVLab/bartede](https://huggingface.co/NIRVLab/bartede) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4809
- Bleu: 22.833
- Chrf++: 46.2491
## 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: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf++ |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.273 | 1.0 | 2080 | 0.4809 | 22.833 | 46.2491 |
| 0.1331 | 2.0 | 4160 | 0.5284 | 24.6028 | 48.483 |
| 0.0964 | 3.0 | 6240 | 0.5543 | 25.6692 | 49.2306 |
### Framework versions
- Transformers 4.57.6
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
|