FarhadMadadzade
commited on
Commit
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Parent(s):
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Training in progress, step 500
Browse files
README.md
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license: apache-2.0
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base_model: jonatasgrosman/wav2vec2-large-xlsr-53-english
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datasets:
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- RAVDESS
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- SAVEE
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- TESS
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- CREMA-D
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tags:
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- generated_from_trainer
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- audio
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- speech
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- speech-emotion-recognition
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-large-xlsr-53-english-ser-cosine
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results: []
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---
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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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# wav2vec2-large-xlsr-53-english-ser-cosine
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on
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- RAVDESS
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- TESS
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- SAVEE
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- CREMA-D
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It achieves the following results on the evaluation set:
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- Loss: 0.4677
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- Accuracy: 0.8677
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---
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license: apache-2.0
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base_model: jonatasgrosman/wav2vec2-large-xlsr-53-english
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-large-xlsr-53-english-ser-cosine
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results: []
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---
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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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# wav2vec2-large-xlsr-53-english-ser-cosine
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This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-english) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4677
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- Accuracy: 0.8677
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model.safetensors
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runs/Mar31_16-38-42_instance-20240308-111517/events.out.tfevents.1711903128.instance-20240308-111517
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training_args.bin
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