mt5-small-gigatrue-slovak-D-5
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: 2.3084
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 |
|---|---|---|---|
| 3.8074 | 0.1015 | 3000 | 2.4561 |
| 3.182 | 0.2030 | 6000 | 2.3883 |
| 3.1161 | 0.3044 | 9000 | 2.3654 |
| 3.0863 | 0.4059 | 12000 | 2.3397 |
| 3.0643 | 0.5074 | 15000 | 2.3349 |
| 3.0593 | 0.6089 | 18000 | 2.3233 |
| 3.0519 | 0.7104 | 21000 | 2.3253 |
| 3.0464 | 0.8119 | 24000 | 2.3208 |
| 3.0434 | 0.9133 | 27000 | 2.3229 |
| 3.0389 | 1.0148 | 30000 | 2.3194 |
| 3.0377 | 1.1163 | 33000 | 2.3155 |
| 3.0319 | 1.2178 | 36000 | 2.3133 |
| 3.0328 | 1.3193 | 39000 | 2.3104 |
| 3.0314 | 1.4207 | 42000 | 2.3098 |
| 3.0306 | 1.5222 | 45000 | 2.3096 |
| 3.0251 | 1.6237 | 48000 | 2.3147 |
| 3.027 | 1.7252 | 51000 | 2.3095 |
| 3.0238 | 1.8267 | 54000 | 2.3099 |
| 3.0246 | 1.9282 | 57000 | 2.3082 |
| 3.0253 | 2.0296 | 60000 | 2.3076 |
| 3.0261 | 2.1311 | 63000 | 2.3103 |
| 3.0242 | 2.2326 | 66000 | 2.3085 |
| 3.0245 | 2.3341 | 69000 | 2.3078 |
| 3.024 | 2.4356 | 72000 | 2.3096 |
| 3.0251 | 2.5370 | 75000 | 2.3086 |
| 3.0257 | 2.6385 | 78000 | 2.3081 |
| 3.0224 | 2.7400 | 81000 | 2.3088 |
| 3.0267 | 2.8415 | 84000 | 2.3083 |
| 3.0243 | 2.9430 | 87000 | 2.3084 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3