fewshot_10
This model is a fine-tuned version of ibm/TTM on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0405
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: 0.001
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1341 | 1.0 | 48 | 0.0386 |
| 0.1293 | 2.0 | 96 | 0.0383 |
| 0.1268 | 3.0 | 144 | 0.0382 |
| 0.1245 | 4.0 | 192 | 0.0382 |
| 0.1218 | 5.0 | 240 | 0.0383 |
| 0.1188 | 6.0 | 288 | 0.0389 |
| 0.1159 | 7.0 | 336 | 0.0395 |
| 0.1124 | 8.0 | 384 | 0.0399 |
| 0.1088 | 9.0 | 432 | 0.0402 |
| 0.105 | 10.0 | 480 | 0.0405 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for eightynine01/fewshot_10
Base model
ibm-granite/granite-timeseries-ttm-r1