|
--- |
|
license: apache-2.0 |
|
base_model: ibm/TTM |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: fewshot_5 |
|
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_5 |
|
|
|
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: 0.0422 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.2328 | 1.0 | 24 | 0.0388 | |
|
| 0.2256 | 2.0 | 48 | 0.0388 | |
|
| 0.2207 | 3.0 | 72 | 0.0386 | |
|
| 0.2165 | 4.0 | 96 | 0.0386 | |
|
| 0.2132 | 5.0 | 120 | 0.0386 | |
|
| 0.2084 | 6.0 | 144 | 0.0387 | |
|
| 0.2033 | 7.0 | 168 | 0.0392 | |
|
| 0.1971 | 8.0 | 192 | 0.0400 | |
|
| 0.1911 | 9.0 | 216 | 0.0412 | |
|
| 0.1836 | 10.0 | 240 | 0.0422 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
