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franco-arabics
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2175
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 | 12 | 1.1244 |
| No log | 2.0 | 24 | 0.8089 |
| No log | 3.0 | 36 | 0.6188 |
| No log | 4.0 | 48 | 0.5041 |
| No log | 5.0 | 60 | 0.4299 |
| No log | 6.0 | 72 | 0.3806 |
| No log | 7.0 | 84 | 0.3308 |
| No log | 8.0 | 96 | 0.3113 |
| No log | 9.0 | 108 | 0.2996 |
| No log | 10.0 | 120 | 0.2801 |
| No log | 11.0 | 132 | 0.2607 |
| No log | 12.0 | 144 | 0.2541 |
| No log | 13.0 | 156 | 0.2543 |
| No log | 14.0 | 168 | 0.2473 |
| No log | 15.0 | 180 | 0.2464 |
| No log | 16.0 | 192 | 0.2437 |
| No log | 17.0 | 204 | 0.2457 |
| No log | 18.0 | 216 | 0.2365 |
| No log | 19.0 | 228 | 0.2385 |
| No log | 20.0 | 240 | 0.2364 |
| No log | 21.0 | 252 | 0.2310 |
| No log | 22.0 | 264 | 0.2214 |
| No log | 23.0 | 276 | 0.2156 |
| No log | 24.0 | 288 | 0.2153 |
| No log | 25.0 | 300 | 0.2177 |
| No log | 26.0 | 312 | 0.2195 |
| No log | 27.0 | 324 | 0.2195 |
| No log | 28.0 | 336 | 0.2183 |
| No log | 29.0 | 348 | 0.2174 |
| No log | 30.0 | 360 | 0.2175 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
