mt5-small-gigatrue-slovak-D-34567
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1159
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: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.8045 | 0.1015 | 3000 | 3.3921 |
| 4.1932 | 0.2030 | 6000 | 3.2547 |
| 4.1098 | 0.3044 | 9000 | 3.2044 |
| 4.0752 | 0.4059 | 12000 | 3.1740 |
| 4.0515 | 0.5074 | 15000 | 3.1574 |
| 4.0446 | 0.6089 | 18000 | 3.1490 |
| 4.036 | 0.7104 | 21000 | 3.1390 |
| 4.0298 | 0.8119 | 24000 | 3.1365 |
| 4.0273 | 0.9133 | 27000 | 3.1308 |
| 4.023 | 1.0148 | 30000 | 3.1286 |
| 4.0229 | 1.1163 | 33000 | 3.1245 |
| 4.0158 | 1.2178 | 36000 | 3.1234 |
| 4.0163 | 1.3193 | 39000 | 3.1217 |
| 4.0156 | 1.4207 | 42000 | 3.1208 |
| 4.0147 | 1.5222 | 45000 | 3.1194 |
| 4.0114 | 1.6237 | 48000 | 3.1172 |
| 4.0113 | 1.7252 | 51000 | 3.1181 |
| 4.0097 | 1.8267 | 54000 | 3.1170 |
| 4.0105 | 1.9282 | 57000 | 3.1161 |
| 4.0115 | 2.0296 | 60000 | 3.1166 |
| 4.0117 | 2.1311 | 63000 | 3.1167 |
| 4.0082 | 2.2326 | 66000 | 3.1160 |
| 4.0089 | 2.3341 | 69000 | 3.1157 |
| 4.0087 | 2.4356 | 72000 | 3.1156 |
| 4.0104 | 2.5370 | 75000 | 3.1158 |
| 4.0088 | 2.6385 | 78000 | 3.1159 |
| 4.007 | 2.7400 | 81000 | 3.1159 |
| 4.0116 | 2.8415 | 84000 | 3.1160 |
| 4.0099 | 2.9430 | 87000 | 3.1159 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3