--- license: apache-2.0 base_model: ibm/TTM tags: - generated_from_trainer model-index: - name: fewshot_10 results: [] --- # fewshot_10 This model is a fine-tuned version of [ibm/TTM](https://huggingface.co/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