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---
license: apache-2.0
base_model: ibm/TTM
tags:
- generated_from_trainer
model-index:
- name: fewshot_10
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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
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