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library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: NL_5000_41
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. -->
# NL_5000_41
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6097
- Accuracy: 0.3351
## 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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 41
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2778 | 1.0 | 1010 | 4.9919 | 0.1780 |
| 1.1301 | 2.0 | 2020 | 4.6439 | 0.2026 |
| 1.0468 | 3.0 | 3030 | 4.3298 | 0.2399 |
| 0.9842 | 4.0 | 4040 | 4.1154 | 0.2686 |
| 0.9369 | 5.0 | 5050 | 3.9441 | 0.2893 |
| 0.9021 | 6.0 | 6060 | 3.8409 | 0.3040 |
| 0.8748 | 7.0 | 7070 | 3.7551 | 0.3148 |
| 0.851 | 8.0 | 8080 | 3.6847 | 0.3239 |
| 0.8329 | 9.0 | 9090 | 3.6329 | 0.3309 |
| 0.8156 | 10.0 | 10100 | 3.6097 | 0.3351 |
### Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1
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