metadata
base_model: Zelyanoth/my_fon_translation_model
tags:
- generated_from_trainer
datasets:
- generator
metrics:
- bleu
model-index:
- name: my_fon_translation_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: generator
type: generator
config: default
split: train
args: default
metrics:
- name: Bleu
type: bleu
value: 8.059
my_fon_translation_model
This model is a fine-tuned version of Zelyanoth/my_fon_translation_model on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 6.1298
- Bleu: 8.059
- Gen Len: 8.4704
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: 4.6e-08
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.5745 | 1.0 | 13165 | 6.1275 | 7.8417 | 8.5553 |
| 0.564 | 2.0 | 26330 | 6.1295 | 7.8534 | 8.5544 |
| 0.5611 | 3.0 | 39495 | 6.1291 | 7.8887 | 8.5456 |
| 0.5538 | 4.0 | 52660 | 6.1288 | 7.7891 | 8.5627 |
| 0.566 | 5.0 | 65825 | 6.1296 | 8.0473 | 8.4714 |
| 0.5745 | 6.0 | 78990 | 6.1297 | 8.059 | 8.4695 |
| 0.5638 | 7.0 | 92155 | 6.1298 | 8.0595 | 8.47 |
| 0.5666 | 8.0 | 105320 | 6.1298 | 8.059 | 8.4704 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2