metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: franco-arabic
results: []
franco-arabic
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3227
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 1.2456 |
| No log | 2.0 | 6 | 1.0399 |
| No log | 3.0 | 9 | 0.8359 |
| No log | 4.0 | 12 | 0.7516 |
| No log | 5.0 | 15 | 0.6830 |
| No log | 6.0 | 18 | 0.6363 |
| No log | 7.0 | 21 | 0.5988 |
| No log | 8.0 | 24 | 0.5653 |
| No log | 9.0 | 27 | 0.5347 |
| No log | 10.0 | 30 | 0.5024 |
| No log | 11.0 | 33 | 0.4733 |
| No log | 12.0 | 36 | 0.4499 |
| No log | 13.0 | 39 | 0.4313 |
| No log | 14.0 | 42 | 0.4149 |
| No log | 15.0 | 45 | 0.4000 |
| No log | 16.0 | 48 | 0.3872 |
| No log | 17.0 | 51 | 0.3766 |
| No log | 18.0 | 54 | 0.3668 |
| No log | 19.0 | 57 | 0.3589 |
| No log | 20.0 | 60 | 0.3522 |
| No log | 21.0 | 63 | 0.3464 |
| No log | 22.0 | 66 | 0.3419 |
| No log | 23.0 | 69 | 0.3379 |
| No log | 24.0 | 72 | 0.3344 |
| No log | 25.0 | 75 | 0.3311 |
| No log | 26.0 | 78 | 0.3285 |
| No log | 27.0 | 81 | 0.3262 |
| No log | 28.0 | 84 | 0.3245 |
| No log | 29.0 | 87 | 0.3234 |
| No log | 30.0 | 90 | 0.3227 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3