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sentiment_analysis_model – AI Model by smerchi | AlphaNeural AI | AlphaNeural AI
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smerchi
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sentiment_analysis_model
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tensorboard
safetensors
wav2vec2
generated_from_trainer
othrif/wav2vec2-large-xlsr-arabic
finetune
apache-2.0
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sentiment_analysis_model
This model is a fine-tuned version of
othrif/wav2vec2-large-xlsr-arabic
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3312
Accuracy: 0.7107
Precision: 0.1777
F1: 0.2077
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
F1
No log
1.0
4
1.3312
0.7107
0.1777
0.2077
No log
2.0
8
1.2993
0.7107
0.1777
0.2077
1.3368
3.0
12
1.2879
0.7107
0.1777
0.2077
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu118
Datasets 2.14.5
Tokenizers 0.15.2
