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-248-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-248-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: 1.2101

## 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   | 14   | 1.5885          |
| 1.7951        | 2.0   | 28   | 1.5840          |
| 1.7951        | 3.0   | 42   | 1.5757          |
| 1.7624        | 4.0   | 56   | 1.5638          |
| 1.7624        | 5.0   | 70   | 1.5518          |
| 1.7014        | 6.0   | 84   | 1.5391          |
| 1.7014        | 7.0   | 98   | 1.5258          |
| 1.7576        | 8.0   | 112  | 1.5133          |
| 1.6769        | 9.0   | 126  | 1.5003          |
| 1.6769        | 10.0  | 140  | 1.4872          |
| 1.6555        | 11.0  | 154  | 1.4748          |
| 1.6555        | 12.0  | 168  | 1.4620          |
| 1.6441        | 13.0  | 182  | 1.4507          |
| 1.6441        | 14.0  | 196  | 1.4393          |
| 1.5213        | 15.0  | 210  | 1.4289          |
| 1.5213        | 16.0  | 224  | 1.4184          |
| 1.5634        | 17.0  | 238  | 1.4092          |
| 1.585         | 18.0  | 252  | 1.4002          |
| 1.585         | 19.0  | 266  | 1.3918          |
| 1.4976        | 20.0  | 280  | 1.3842          |
| 1.4976        | 21.0  | 294  | 1.3772          |
| 1.5197        | 22.0  | 308  | 1.3701          |
| 1.5197        | 23.0  | 322  | 1.3634          |
| 1.501         | 24.0  | 336  | 1.3572          |
| 1.4607        | 25.0  | 350  | 1.3513          |
| 1.4607        | 26.0  | 364  | 1.3459          |
| 1.4886        | 27.0  | 378  | 1.3407          |
| 1.4886        | 28.0  | 392  | 1.3358          |
| 1.4133        | 29.0  | 406  | 1.3305          |
| 1.4133        | 30.0  | 420  | 1.3262          |
| 1.4263        | 31.0  | 434  | 1.3216          |
| 1.4263        | 32.0  | 448  | 1.3173          |
| 1.4365        | 33.0  | 462  | 1.3126          |
| 1.42          | 34.0  | 476  | 1.3090          |
| 1.42          | 35.0  | 490  | 1.3053          |
| 1.4301        | 36.0  | 504  | 1.3015          |
| 1.4301        | 37.0  | 518  | 1.2983          |
| 1.3565        | 38.0  | 532  | 1.2949          |
| 1.3565        | 39.0  | 546  | 1.2919          |
| 1.4627        | 40.0  | 560  | 1.2887          |
| 1.4627        | 41.0  | 574  | 1.2854          |
| 1.3976        | 42.0  | 588  | 1.2828          |
| 1.3613        | 43.0  | 602  | 1.2794          |
| 1.3613        | 44.0  | 616  | 1.2770          |
| 1.3281        | 45.0  | 630  | 1.2739          |
| 1.3281        | 46.0  | 644  | 1.2716          |
| 1.352         | 47.0  | 658  | 1.2689          |
| 1.352         | 48.0  | 672  | 1.2662          |
| 1.3798        | 49.0  | 686  | 1.2637          |
| 1.3523        | 50.0  | 700  | 1.2617          |
| 1.3523        | 51.0  | 714  | 1.2592          |
| 1.369         | 52.0  | 728  | 1.2573          |
| 1.369         | 53.0  | 742  | 1.2549          |
| 1.3467        | 54.0  | 756  | 1.2528          |
| 1.3467        | 55.0  | 770  | 1.2510          |
| 1.3398        | 56.0  | 784  | 1.2488          |
| 1.3398        | 57.0  | 798  | 1.2470          |
| 1.2938        | 58.0  | 812  | 1.2453          |
| 1.3292        | 59.0  | 826  | 1.2433          |
| 1.3292        | 60.0  | 840  | 1.2418          |
| 1.3721        | 61.0  | 854  | 1.2402          |
| 1.3721        | 62.0  | 868  | 1.2383          |
| 1.2928        | 63.0  | 882  | 1.2369          |
| 1.2928        | 64.0  | 896  | 1.2353          |
| 1.3214        | 65.0  | 910  | 1.2336          |
| 1.3214        | 66.0  | 924  | 1.2321          |
| 1.3324        | 67.0  | 938  | 1.2308          |
| 1.2997        | 68.0  | 952  | 1.2296          |
| 1.2997        | 69.0  | 966  | 1.2282          |
| 1.3038        | 70.0  | 980  | 1.2271          |
| 1.3038        | 71.0  | 994  | 1.2258          |
| 1.3161        | 72.0  | 1008 | 1.2248          |
| 1.3161        | 73.0  | 1022 | 1.2240          |
| 1.2948        | 74.0  | 1036 | 1.2228          |
| 1.2907        | 75.0  | 1050 | 1.2220          |
| 1.2907        | 76.0  | 1064 | 1.2211          |
| 1.3348        | 77.0  | 1078 | 1.2200          |
| 1.3348        | 78.0  | 1092 | 1.2190          |
| 1.3043        | 79.0  | 1106 | 1.2181          |
| 1.3043        | 80.0  | 1120 | 1.2177          |
| 1.2185        | 81.0  | 1134 | 1.2167          |
| 1.2185        | 82.0  | 1148 | 1.2160          |
| 1.3256        | 83.0  | 1162 | 1.2151          |
| 1.3329        | 84.0  | 1176 | 1.2146          |
| 1.3329        | 85.0  | 1190 | 1.2142          |
| 1.263         | 86.0  | 1204 | 1.2134          |
| 1.263         | 87.0  | 1218 | 1.2131          |
| 1.3019        | 88.0  | 1232 | 1.2126          |
| 1.3019        | 89.0  | 1246 | 1.2120          |
| 1.2682        | 90.0  | 1260 | 1.2117          |
| 1.2682        | 91.0  | 1274 | 1.2113          |
| 1.323         | 92.0  | 1288 | 1.2113          |
| 1.2818        | 93.0  | 1302 | 1.2109          |
| 1.2818        | 94.0  | 1316 | 1.2107          |
| 1.3163        | 95.0  | 1330 | 1.2106          |
| 1.3163        | 96.0  | 1344 | 1.2103          |
| 1.2391        | 97.0  | 1358 | 1.2101          |
| 1.2391        | 98.0  | 1372 | 1.2103          |
| 1.2595        | 99.0  | 1386 | 1.2101          |
| 1.283         | 100.0 | 1400 | 1.2101          |


### 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