peft tensorboard safetensors generated_from_trainer base_model:smutuvi/whisper-small-sw-common-voice license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: smutuvi/whisper-small-sw-common-voice
model-index:
- name: whisper-small-sw-common-voice-ndizi-158-NF4
  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. -->

# whisper-small-sw-common-voice-ndizi-158-NF4

This model is a fine-tuned version of [smutuvi/whisper-small-sw-common-voice](https://huggingface.co/smutuvi/whisper-small-sw-common-voice) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6482

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 9    | 1.9783          |
| No log        | 2.0   | 18   | 1.9757          |
| 1.8194        | 3.0   | 27   | 1.9710          |
| 1.8194        | 4.0   | 36   | 1.9631          |
| 1.8194        | 5.0   | 45   | 1.9543          |
| 1.7712        | 6.0   | 54   | 1.9437          |
| 1.7712        | 7.0   | 63   | 1.9337          |
| 1.7712        | 8.0   | 72   | 1.9244          |
| 1.7377        | 9.0   | 81   | 1.9141          |
| 1.7377        | 10.0  | 90   | 1.9043          |
| 1.7377        | 11.0  | 99   | 1.8952          |
| 1.7377        | 12.0  | 108  | 1.8863          |
| 1.7377        | 13.0  | 117  | 1.8762          |
| 1.6796        | 14.0  | 126  | 1.8684          |
| 1.6796        | 15.0  | 135  | 1.8588          |
| 1.6796        | 16.0  | 144  | 1.8501          |
| 1.6217        | 17.0  | 153  | 1.8414          |
| 1.6217        | 18.0  | 162  | 1.8325          |
| 1.6217        | 19.0  | 171  | 1.8253          |
| 1.6036        | 20.0  | 180  | 1.8169          |
| 1.6036        | 21.0  | 189  | 1.8097          |
| 1.6036        | 22.0  | 198  | 1.8017          |
| 1.6129        | 23.0  | 207  | 1.7949          |
| 1.6129        | 24.0  | 216  | 1.7879          |
| 1.5607        | 25.0  | 225  | 1.7817          |
| 1.5607        | 26.0  | 234  | 1.7760          |
| 1.5607        | 27.0  | 243  | 1.7699          |
| 1.5305        | 28.0  | 252  | 1.7637          |
| 1.5305        | 29.0  | 261  | 1.7588          |
| 1.5305        | 30.0  | 270  | 1.7537          |
| 1.5261        | 31.0  | 279  | 1.7485          |
| 1.5261        | 32.0  | 288  | 1.7444          |
| 1.5261        | 33.0  | 297  | 1.7400          |
| 1.5331        | 34.0  | 306  | 1.7360          |
| 1.5331        | 35.0  | 315  | 1.7322          |
| 1.5331        | 36.0  | 324  | 1.7287          |
| 1.5131        | 37.0  | 333  | 1.7250          |
| 1.5131        | 38.0  | 342  | 1.7216          |
| 1.4883        | 39.0  | 351  | 1.7183          |
| 1.4883        | 40.0  | 360  | 1.7151          |
| 1.4883        | 41.0  | 369  | 1.7119          |
| 1.4551        | 42.0  | 378  | 1.7092          |
| 1.4551        | 43.0  | 387  | 1.7063          |
| 1.4551        | 44.0  | 396  | 1.7042          |
| 1.47          | 45.0  | 405  | 1.7018          |
| 1.47          | 46.0  | 414  | 1.6988          |
| 1.47          | 47.0  | 423  | 1.6967          |
| 1.4422        | 48.0  | 432  | 1.6942          |
| 1.4422        | 49.0  | 441  | 1.6922          |
| 1.4432        | 50.0  | 450  | 1.6904          |
| 1.4432        | 51.0  | 459  | 1.6886          |
| 1.4432        | 52.0  | 468  | 1.6869          |
| 1.4108        | 53.0  | 477  | 1.6849          |
| 1.4108        | 54.0  | 486  | 1.6828          |
| 1.4108        | 55.0  | 495  | 1.6808          |
| 1.4377        | 56.0  | 504  | 1.6797          |
| 1.4377        | 57.0  | 513  | 1.6777          |
| 1.4377        | 58.0  | 522  | 1.6770          |
| 1.4281        | 59.0  | 531  | 1.6748          |
| 1.4281        | 60.0  | 540  | 1.6732          |
| 1.4281        | 61.0  | 549  | 1.6718          |
| 1.374         | 62.0  | 558  | 1.6704          |
| 1.374         | 63.0  | 567  | 1.6695          |
| 1.3947        | 64.0  | 576  | 1.6678          |
| 1.3947        | 65.0  | 585  | 1.6667          |
| 1.3947        | 66.0  | 594  | 1.6656          |
| 1.3843        | 67.0  | 603  | 1.6650          |
| 1.3843        | 68.0  | 612  | 1.6638          |
| 1.3843        | 69.0  | 621  | 1.6620          |
| 1.385         | 70.0  | 630  | 1.6614          |
| 1.385         | 71.0  | 639  | 1.6608          |
| 1.385         | 72.0  | 648  | 1.6592          |
| 1.368         | 73.0  | 657  | 1.6586          |
| 1.368         | 74.0  | 666  | 1.6576          |
| 1.3777        | 75.0  | 675  | 1.6574          |
| 1.3777        | 76.0  | 684  | 1.6565          |
| 1.3777        | 77.0  | 693  | 1.6556          |
| 1.3837        | 78.0  | 702  | 1.6553          |
| 1.3837        | 79.0  | 711  | 1.6547          |
| 1.3837        | 80.0  | 720  | 1.6544          |
| 1.3577        | 81.0  | 729  | 1.6529          |
| 1.3577        | 82.0  | 738  | 1.6523          |
| 1.3577        | 83.0  | 747  | 1.6515          |
| 1.3961        | 84.0  | 756  | 1.6513          |
| 1.3961        | 85.0  | 765  | 1.6512          |
| 1.3961        | 86.0  | 774  | 1.6505          |
| 1.3292        | 87.0  | 783  | 1.6497          |
| 1.3292        | 88.0  | 792  | 1.6495          |
| 1.3578        | 89.0  | 801  | 1.6496          |
| 1.3578        | 90.0  | 810  | 1.6495          |
| 1.3578        | 91.0  | 819  | 1.6488          |
| 1.3352        | 92.0  | 828  | 1.6486          |
| 1.3352        | 93.0  | 837  | 1.6492          |
| 1.3352        | 94.0  | 846  | 1.6487          |
| 1.3873        | 95.0  | 855  | 1.6485          |
| 1.3873        | 96.0  | 864  | 1.6483          |
| 1.3873        | 97.0  | 873  | 1.6481          |
| 1.3391        | 98.0  | 882  | 1.6483          |
| 1.3391        | 99.0  | 891  | 1.6482          |
| 1.3569        | 100.0 | 900  | 1.6482          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0