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