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wav2vec2-large-xls-r-300m-dm32 – AI Model by eong | AlphaNeural AI
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eong
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wav2vec2-large-xls-r-300m-dm32
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transformers
safetensors
wav2vec2
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-large-xls-r-300m-dm32
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5126
Accuracy: 0.8000
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 100
num_epochs: 22
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6359
4.1778
50
0.5819
0.8000
0.589
8.3556
100
0.5111
0.8000
0.5847
12.5333
150
0.5133
0.8000
0.5793
16.7111
200
0.5123
0.8000
0.5849
20.8889
250
0.5126
0.8000
Framework versions
Transformers 4.53.2
Pytorch 2.7.1+cu126
Datasets 4.0.0
Tokenizers 0.21.2
