metadata

base_model: facebook/wav2vec2-large
license: apache-2.0
metrics:
  - wer
tags:
  - generated_from_trainer
model-index:
  - name: wav2vec2-large-sw-cv-100hr-v2
    results: []

wav2vec2-large-sw-cv-100hr-v2

This model is a fine-tuned version of facebook/wav2vec2-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6293
Model Preparation Time: 0.004
Wer: 0.3558
Cer: 0.1353

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: 0.0007
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.6
num_epochs: 120
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Wer	Cer
3.5004	1.0	1040	0.7862	0.004	0.6822	0.1909
0.4704	2.0	2080	0.5245	0.004	0.4970	0.1335
0.3202	3.0	3120	0.4288	0.004	0.3956	0.1066
0.2551	4.0	4160	0.3800	0.004	0.3644	0.0962
0.2213	5.0	5200	0.3481	0.004	0.3358	0.0911
0.2005	6.0	6240	0.3241	0.004	0.3101	0.0839
0.1911	7.0	7280	0.3535	0.004	0.3283	0.0924
0.1854	8.0	8320	0.3161	0.004	0.3002	0.0843
0.1819	9.0	9360	0.3181	0.004	0.3233	0.0964
0.1788	10.0	10400	0.3099	0.004	0.3086	0.0832
0.1796	11.0	11440	0.3245	0.004	0.3011	0.0827
0.1805	12.0	12480	0.3068	0.004	0.2967	0.0845
0.1791	13.0	13520	0.3163	0.004	0.3076	0.0864
0.1812	14.0	14560	0.3336	0.004	0.3104	0.0867
0.1844	15.0	15600	0.3257	0.004	0.3117	0.0864
0.1884	16.0	16640	0.3440	0.004	0.3136	0.0886
0.1979	17.0	17680	0.3444	0.004	0.3172	0.0899
0.2058	18.0	18720	0.3286	0.004	0.3456	0.1092
0.2114	19.0	19760	0.3603	0.004	0.3358	0.0969
0.2229	20.0	20800	0.3658	0.004	0.3301	0.0954
0.2275	21.0	21840	0.3849	0.004	0.3729	0.1197
0.2351	22.0	22880	0.3753	0.004	0.3488	0.1011

Framework versions

Transformers 4.44.0
Pytorch 2.1.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1