Hugging Face's logo

Chenchuhui
/
Icelandic-finetuned-data-augmentation

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
Icelandic-finetuned-data-augmentation / README.md
Chenchuhui's picture
Chenchuhui
End of training
4bc9036
preview code
|
raw
history blame contribute delete
4.56 kB
metadata
license: cc-by-4.0
base_model: carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h
tags:
  - generated_from_trainer
metrics:
  - wer
model-index:
  - name: Icelandic_model_aug_checkpoints
    results: []

Icelandic_model_aug_checkpoints

This model is a fine-tuned version of carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2766
  • Wer: 0.2136

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: 0.0003
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Wer
No log 0.2 10 0.6818 0.3244
No log 0.4 20 0.4570 0.2841
No log 0.6 30 0.4281 0.2562
No log 0.8 40 0.4284 0.2282
0.8009 1.0 50 0.4335 0.2260
0.8009 1.2 60 0.4302 0.2159
0.8009 1.4 70 0.4113 0.2114
0.8009 1.6 80 0.3847 0.2159
0.8009 1.8 90 0.3795 0.2148
0.4567 2.0 100 0.3716 0.2058
0.4567 2.2 110 0.3848 0.2081
0.4567 2.4 120 0.3797 0.2036
0.4567 2.6 130 0.3695 0.2036
0.4567 2.8 140 0.3545 0.1969
0.3723 3.0 150 0.3433 0.1957
0.3723 3.2 160 0.3213 0.1957
0.3723 3.4 170 0.3068 0.1913
0.3723 3.6 180 0.3049 0.1902
0.3723 3.8 190 0.3039 0.1991
0.3259 4.0 200 0.2986 0.1913
0.3259 4.2 210 0.3181 0.1969
0.3259 4.4 220 0.3216 0.1857
0.3259 4.6 230 0.3336 0.1913
0.3259 4.8 240 0.3317 0.1980
0.2809 5.0 250 0.2948 0.2025
0.2809 5.2 260 0.3165 0.1879
0.2809 5.4 270 0.3289 0.2081
0.2809 5.6 280 0.3071 0.1913
0.2809 5.8 290 0.3116 0.1957
0.2711 6.0 300 0.2441 0.2136
0.2711 6.2 310 0.2961 0.2013
0.2711 6.4 320 0.3473 0.2069
0.2711 6.6 330 0.2201 0.2058
0.2711 6.8 340 0.2004 0.1991
0.2578 7.0 350 0.2213 0.2081
0.2578 7.2 360 0.3698 0.2081
0.2578 7.4 370 0.3921 0.2114
0.2578 7.6 380 0.3861 0.2204
0.2578 7.8 390 0.3792 0.2271
0.2503 8.0 400 0.3084 0.2092
0.2503 8.2 410 0.3273 0.2058
0.2503 8.4 420 0.3965 0.2069
0.2503 8.6 430 0.2838 0.2036
0.2503 8.8 440 0.3243 0.2148
0.2485 9.0 450 0.3139 0.2136
0.2485 9.2 460 0.3155 0.2036
0.2485 9.4 470 0.3140 0.2103
0.2485 9.6 480 0.2902 0.2349
0.2485 9.8 490 0.2389 0.2047
0.2567 10.0 500 0.2766 0.2136

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0