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test-model

Audio Classification
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Safetensors
wav2vec2
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  1. README.md +17 -18
  2. model.safetensors +1 -1
README.md CHANGED
@@ -13,13 +13,12 @@ model-index:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/khackho01125-CMC-University/huggingface/runs/xvsc2vjx)
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  # test-model
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2643
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- - Accuracy: 0.9256
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  ## Model description
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@@ -38,7 +37,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
@@ -46,7 +45,7 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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- - lr_scheduler_warmup_ratio: 0.3
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  - training_steps: 600
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  - mixed_precision_training: Native AMP
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@@ -54,21 +53,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 1.0369 | 0.9639 | 60 | 0.9137 | 0.5412 |
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- | 0.8176 | 1.9277 | 120 | 0.7283 | 0.7042 |
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- | 0.6663 | 2.8916 | 180 | 0.6335 | 0.7344 |
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- | 0.5593 | 3.8554 | 240 | 0.5275 | 0.8229 |
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- | 0.4492 | 4.8193 | 300 | 0.4215 | 0.8551 |
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- | 0.3195 | 5.7831 | 360 | 0.3699 | 0.8793 |
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- | 0.2687 | 6.7470 | 420 | 0.5120 | 0.8390 |
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- | 0.2339 | 7.7108 | 480 | 0.2798 | 0.9215 |
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- | 0.1845 | 8.6747 | 540 | 0.2746 | 0.9155 |
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- | 0.1848 | 9.6386 | 600 | 0.2643 | 0.9256 |
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  ### Framework versions
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- - Transformers 4.42.3
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- - Pytorch 2.1.2
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- - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  # test-model
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1969
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+ - Accuracy: 0.9457
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 4e-05
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
 
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  - total_train_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 100
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  - training_steps: 600
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  - mixed_precision_training: Native AMP
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 1.0215 | 0.9639 | 60 | 0.8933 | 0.5734 |
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+ | 0.7629 | 1.9277 | 120 | 0.6155 | 0.7565 |
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+ | 0.664 | 2.8916 | 180 | 0.5293 | 0.7827 |
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+ | 0.4882 | 3.8554 | 240 | 0.3675 | 0.8893 |
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+ | 0.3573 | 4.8193 | 300 | 0.3523 | 0.8974 |
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+ | 0.3088 | 5.7831 | 360 | 0.3125 | 0.9034 |
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+ | 0.2715 | 6.7470 | 420 | 0.2085 | 0.9477 |
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+ | 0.2154 | 7.7108 | 480 | 0.2546 | 0.9336 |
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+ | 0.2016 | 8.6747 | 540 | 0.1955 | 0.9517 |
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+ | 0.193 | 9.6386 | 600 | 0.1969 | 0.9457 |
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  ### Framework versions
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0
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+ - Datasets 2.21.0
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  - Tokenizers 0.19.1
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