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--- |
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license: apache-2.0 |
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base_model: ibm/TTM |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: fewshot_10 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# fewshot_10 |
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This model is a fine-tuned version of [ibm/TTM](https://huggingface.co/ibm/TTM) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0405 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.001 |
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- train_batch_size: 512 |
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- eval_batch_size: 512 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.1341 | 1.0 | 48 | 0.0386 | |
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| 0.1293 | 2.0 | 96 | 0.0383 | |
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| 0.1268 | 3.0 | 144 | 0.0382 | |
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| 0.1245 | 4.0 | 192 | 0.0382 | |
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| 0.1218 | 5.0 | 240 | 0.0383 | |
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| 0.1188 | 6.0 | 288 | 0.0389 | |
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| 0.1159 | 7.0 | 336 | 0.0395 | |
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| 0.1124 | 8.0 | 384 | 0.0399 | |
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| 0.1088 | 9.0 | 432 | 0.0402 | |
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| 0.105 | 10.0 | 480 | 0.0405 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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