| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: Asiif/mt5_hieroglyph |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: mt5_hieroglyph |
| results: |
| - task: |
| type: text2text-generation |
| name: Text-to-Text Generation |
| dataset: |
| name: custom_hieroglyph_dataset |
| type: custom |
| metrics: |
| - type: bleu |
| value: 71.45810723232168 |
| name: BLEU |
| --- |
| |
| <!-- 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. --> |
|
|
| # mt5_hieroglyph |
| |
| This model is a fine-tuned version of [Asiif/mt5_hieroglyph](https://huggingface.co/Asiif/mt5_hieroglyph) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.3105 |
| - Bleu: 71.4581 |
| - Chrf: 77.3596 |
| |
| ## 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: 0.0001 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - 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: cosine |
| - lr_scheduler_warmup_ratio: 0.08 |
| - num_epochs: 50 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| |
| | 0.077 | 10.0 | 6470 | 2.1542 | 70.7322 | 76.6222 | |
| | 0.0653 | 20.0 | 12940 | 2.3105 | 71.4581 | 77.3596 | |
| | 0.0593 | 30.0 | 19410 | 2.4402 | 71.1786 | 77.0790 | |
| | 0.097 | 40.0 | 25880 | 2.0266 | 70.9717 | 77.2137 | |
| | 0.1197 | 50.0 | 32350 | 1.7680 | 71.1443 | 77.4270 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.57.6 |
| - Pytorch 2.9.0+cu126 |
| - Datasets 3.1.0 |
| - Tokenizers 0.22.2 |
|
|
