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library_name: transformers
license: mit
base_model: jhu-clsp/mmBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: translation-source-classifier
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. -->
# translation-source-classifier
This model is a fine-tuned version of [jhu-clsp/mmBERT-base](https://huggingface.co/jhu-clsp/mmBERT-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5460
- Accuracy: 0.6111
## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 2.1867 | 1.0 | 14063 | 2.2778 | 0.4457 |
| 2.0165 | 2.0 | 28126 | 2.0671 | 0.4984 |
| 1.935 | 3.0 | 42189 | 1.9881 | 0.5151 |
| 1.8636 | 4.0 | 56252 | 1.8941 | 0.5351 |
| 1.7705 | 5.0 | 70315 | 1.8231 | 0.5460 |
| 1.7174 | 6.0 | 84378 | 1.7304 | 0.5691 |
| 1.6526 | 7.0 | 98441 | 1.6755 | 0.5788 |
| 1.6009 | 8.0 | 112504 | 1.6174 | 0.5922 |
| 1.4959 | 9.0 | 126567 | 1.5779 | 0.6025 |
| 1.4539 | 10.0 | 140630 | 1.5460 | 0.6111 |
### Framework versions
- Transformers 4.57.6
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2
|