---
library_name: transformers
license: mit
base_model: jhu-clsp/mmBERT-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: trainer_output
  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. -->

# trainer_output

This model is a fine-tuned version of [jhu-clsp/mmBERT-base](https://huggingface.co/jhu-clsp/mmBERT-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8549
- Accuracy: 92.5064
- Sentence accuracy: 47.9134

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|
| 0.9817        | 1.0   | 596  | 0.6246          | 89.2170  | 35.2396           |
| 0.3128        | 2.0   | 1192 | 0.5229          | 90.7575  | 40.1855           |
| 0.1836        | 3.0   | 1788 | 0.5851          | 91.7304  | 42.9675           |
| 0.1099        | 4.0   | 2384 | 0.6264          | 91.4177  | 41.7311           |
| 0.0744        | 5.0   | 2980 | 0.6672          | 92.2400  | 46.2133           |
| 0.0333        | 6.0   | 3576 | 0.6985          | 91.7535  | 43.8949           |
| 0.0234        | 7.0   | 4172 | 0.7473          | 92.2863  | 45.9042           |
| 0.0165        | 8.0   | 4768 | 0.7186          | 92.1589  | 45.2859           |
| 0.0167        | 9.0   | 5364 | 0.8132          | 92.4832  | 47.4498           |
| 0.0118        | 10.0  | 5960 | 0.8421          | 92.4253  | 46.3679           |
| 0.0058        | 11.0  | 6556 | 0.7998          | 92.4716  | 44.8223           |
| 0.0057        | 12.0  | 7152 | 0.7845          | 92.7843  | 47.2952           |
| 0.0039        | 13.0  | 7748 | 0.8570          | 92.6569  | 47.2952           |
| 0.0042        | 14.0  | 8344 | 0.8719          | 92.7496  | 48.2226           |
| 0.004         | 15.0  | 8940 | 0.8683          | 92.5990  | 47.9134           |
| 0.0038        | 16.0  | 9536 | 0.8549          | 92.5064  | 47.9134           |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2