metadata
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
mt5_hieroglyph
This model is a fine-tuned version of 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