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README.md
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library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-base-960h
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tags:
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- generated_from_trainer
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datasets:
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- audiofolder
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model-index:
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# wav2vec2-base-960h_SER_merged_dataset
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on
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It achieves the following results on the evaluation set:
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- eval_accuracy: 0.7480
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- eval_weighted_f1: 0.7438
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- eval_micro_f1: 0.7480
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- eval_macro_f1: 0.7559
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- Transformers 4.47.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-base-960h
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datasets:
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- audiofolder
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model-index:
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# wav2vec2-base-960h_SER_merged_dataset
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on a merged dataset of RAVDESS, CREMA, SAVEE, and TESS.
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It achieves the following results on the evaluation set:
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- eval_accuracy: 0.7480
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- eval_loss: 0.7940
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- eval_weighted_f1: 0.7438
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- eval_micro_f1: 0.7480
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- eval_macro_f1: 0.7559
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- Transformers 4.47.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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