---
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: BERT_BASE_TS_phonetic_wikitext_0.9
  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. -->

# BERT_BASE_TS_phonetic_wikitext_0.9

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9809

## 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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 2.2165        | 0.3019 | 2000  | 2.0242          |
| 2.1139        | 0.6039 | 4000  | 1.9481          |
| 2.0879        | 0.9058 | 6000  | 1.9204          |
| 2.0837        | 1.2077 | 8000  | 1.9042          |
| 2.0957        | 1.5097 | 10000 | 1.9554          |
| 2.1007        | 1.8116 | 12000 | 1.9287          |
| 2.1026        | 2.1135 | 14000 | 1.9540          |
| 2.1126        | 2.4155 | 16000 | 1.9481          |
| 2.1171        | 2.7174 | 18000 | 1.9878          |
| 2.1176        | 3.0193 | 20000 | 1.9638          |
| 2.1232        | 3.3213 | 22000 | 1.9696          |
| 2.1223        | 3.6232 | 24000 | 1.9904          |
| 2.1294        | 3.9251 | 26000 | 1.9750          |
| 2.127         | 4.2271 | 28000 | 1.9654          |
| 2.1342        | 4.5290 | 30000 | 1.9801          |
| 2.1402        | 4.8309 | 32000 | 2.0290          |
| 2.1344        | 5.1329 | 34000 | 2.0142          |
| 2.1373        | 5.4348 | 36000 | 1.9839          |
| 2.1325        | 5.7367 | 38000 | 1.9736          |
| 2.1367        | 6.0386 | 40000 | 1.9824          |
| 2.1417        | 6.3406 | 42000 | 1.9750          |
| 2.1319        | 6.6425 | 44000 | 1.9775          |
| 2.1387        | 6.9444 | 46000 | 2.0075          |
| 2.1359        | 7.2464 | 48000 | 1.9740          |
| 2.1315        | 7.5483 | 50000 | 1.9844          |
| 2.1388        | 7.8502 | 52000 | 2.0143          |
| 2.1302        | 8.1522 | 54000 | 1.9690          |
| 2.1368        | 8.4541 | 56000 | 1.9659          |
| 2.1347        | 8.7560 | 58000 | 1.9806          |
| 2.1304        | 9.0580 | 60000 | 1.9906          |
| 2.1268        | 9.3599 | 62000 | 1.9820          |
| 2.1241        | 9.6618 | 64000 | 1.9683          |
| 2.1308        | 9.9638 | 66000 | 1.9809          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0