Niger-Malitamasheq-finetuned
This model is a fine-tuned version of LIA-AvignonUniversity/IWSLT2022-Niger-Mali on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9747
- Cer: 0.9979
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 60
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 8.7075 | 8.57 | 30 | 5.0922 | 0.9979 |
| 4.4557 | 17.14 | 60 | 3.3251 | 0.9979 |
| 3.5394 | 25.71 | 90 | 3.1326 | 0.9979 |
| 3.2067 | 34.29 | 120 | 3.0365 | 0.9979 |
| 3.0958 | 42.86 | 150 | 2.9906 | 0.9979 |
| 3.0147 | 51.43 | 180 | 2.9747 | 0.9979 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for YassineBenlaria/Niger-Malitamasheq-finetuned
Base model
LIA-AvignonUniversity/IWSLT2022-Niger-Mali