metadata

library_name: transformers
license: mit
base_model: facebook/w2v-bert-2.0
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: W2V2-Bert_DigitalUmuganda_Afrivoice_Shona_50hr_v2
    results: []

W2V2-Bert_DigitalUmuganda_Afrivoice_Shona_50hr_v2

This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2946
Wer: 0.2791
Cer: 0.0560

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
1.0699	1.0	1092	0.2310	0.2610	0.0441
0.2086	2.0	2184	0.2126	0.2397	0.0416
0.1918	3.0	3276	0.2344	0.2636	0.0468
0.1783	4.0	4368	0.2030	0.2516	0.0420
0.1636	5.0	5460	0.1969	0.2334	0.0402
0.1528	6.0	6552	0.2050	0.2247	0.0393
0.1443	7.0	7644	0.1934	0.2304	0.0389
0.136	8.0	8736	0.1908	0.2292	0.0396
0.1283	9.0	9828	0.1963	0.2255	0.0388
0.1198	10.0	10920	0.1935	0.2216	0.0380
0.1118	11.0	12012	0.2008	0.2229	0.0379
0.1021	12.0	13104	0.1982	0.2233	0.0392
0.0969	13.0	14196	0.2036	0.2245	0.0389
0.0895	14.0	15288	0.2046	0.2238	0.0389
0.0821	15.0	16380	0.2203	0.2225	0.0386
0.0752	16.0	17472	0.2293	0.2221	0.0387
0.0677	17.0	18564	0.2423	0.2430	0.0419
0.0618	18.0	19656	0.2469	0.2262	0.0386
0.0545	19.0	20748	0.2677	0.2372	0.0398
0.0495	20.0	21840	0.2691	0.2295	0.0393

Framework versions

Transformers 4.44.2
Pytorch 2.2.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1