my_awesome_mind_model

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

• Loss: 0.6000
• Accuracy: 0.75

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: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• 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	1.0	1	0.7537	0.25
No log	2.0	3	0.6236	0.75
No log	3.0	5	0.5948	0.75
No log	4.0	6	0.5866	0.75
No log	5.0	7	0.5819	0.75
No log	6.0	9	0.5987	0.75
0.2651	6.67	10	0.6000	0.75

Framework versions

• Transformers 4.36.2
• Pytorch 1.13.0+cu117
• Datasets 2.16.1
• Tokenizers 0.15.0