---
library_name: transformers
base_model: OMRIDRORI/mbert-tibetan-continual-unicode-240k
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: proximity_cs_model_with_test
  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. -->

# proximity_cs_model_with_test

This model is a fine-tuned version of [OMRIDRORI/mbert-tibetan-continual-unicode-240k](https://huggingface.co/OMRIDRORI/mbert-tibetan-continual-unicode-240k) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3626
- Accuracy: 0.9896
- Proximity F1: 0.2190
- Proximity Recall: 0.2370
- Proximity Precision: 0.2504
- Exact Matches: 0.6923
- Missed Switches: 0.5385
- False Switches: 2.4872
- Matches At 1 Words: 0.0
- Matches At 2 Words: 0.0
- Matches At 3 Words: 0.0
- Matches At 4 Words: 0.0
- Matches At 5 Words: 0.0
- Matches At 6 Words: 0.0
- Matches At 7 Words: 0.0
- Matches At 8 Words: 0.0
- Matches At 9 Words: 0.0
- Matches At 10 Words: 0.0

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 500
- num_epochs: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy | Proximity F1 | Proximity Recall | Proximity Precision | Exact Matches | Missed Switches | False Switches | Matches At 1 Words | Matches At 2 Words | Matches At 3 Words | Matches At 4 Words | Matches At 5 Words | Matches At 6 Words | Matches At 7 Words | Matches At 8 Words | Matches At 9 Words | Matches At 10 Words |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:------------:|:----------------:|:-------------------:|:-------------:|:---------------:|:--------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|:-------------------:|
| 0.3554        | 7.6923  | 100  | 0.3063          | 0.9314   | 0.0892       | 0.3119           | 0.0543              | 1.0           | 0.0513          | 19.7179        | 0.0513             | 0.0                | 0.0                | 0.0                | 0.0                | 0.0256             | 0.0                | 0.0                | 0.0256             | 0.0769              |
| 0.0729        | 15.3846 | 200  | 0.2531          | 0.9791   | 0.1595       | 0.2241           | 0.1791              | 0.6923        | 0.4872          | 5.5128         | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0513             | 0.0                 |
| 0.0156        | 23.0769 | 300  | 0.3626          | 0.9896   | 0.2190       | 0.2370           | 0.2504              | 0.6923        | 0.5385          | 2.4872         | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3