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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- ottomoritz/TriboliumCastaneum |
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model-index: |
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- name: your_output_dir |
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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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# your_output_dir |
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This model is a fine-tuned version of [](https://huggingface.co/) on the ottomoritz/TriboliumCastaneum dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_steps: 1000 |
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- training_steps: 120000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:------:|:---------------:| |
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| 1.217 | 0.0833 | 10000 | nan | |
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| 1.1568 | 0.1667 | 20000 | nan | |
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| 1.1522 | 0.25 | 30000 | nan | |
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| 1.1443 | 0.3333 | 40000 | nan | |
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| 1.1404 | 0.4167 | 50000 | nan | |
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| 1.1329 | 0.5 | 60000 | nan | |
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| 1.1323 | 0.5833 | 70000 | nan | |
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| 1.1292 | 0.6667 | 80000 | nan | |
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| 1.1264 | 0.75 | 90000 | nan | |
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| 1.1312 | 0.8333 | 100000 | nan | |
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| 1.1305 | 0.9167 | 110000 | nan | |
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| 1.1285 | 1.0 | 120000 | nan | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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