Cafe_model

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2158
• Accuracy: 0.4643

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: 3e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.8571	3	1.3714	0.3095
No log	2.0	7	1.3197	0.3929
1.3442	2.8571	10	1.2993	0.3571
1.3442	4.0	14	1.2720	0.4881
1.3442	4.8571	17	1.2573	0.4881
1.2315	6.0	21	1.2405	0.4405
1.2315	6.8571	24	1.2327	0.4167
1.2315	8.0	28	1.2189	0.4762
1.1119	8.5714	30	1.2158	0.4643

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.0+cu121
• Datasets 3.1.0
• Tokenizers 0.19.1