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my_awesome_emotion_model

Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
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  1. README.md +18 -33
  2. model.safetensors +1 -1
README.md CHANGED
@@ -3,26 +3,11 @@ license: apache-2.0
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  base_model: facebook/wav2vec2-base
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  tags:
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  - generated_from_trainer
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- datasets:
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- - asvp_esd
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  metrics:
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  - accuracy
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  model-index:
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  - name: my_awesome_emotion_model
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- results:
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- - task:
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- name: Audio Classification
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- type: audio-classification
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- dataset:
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- name: asvp_esd
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- type: asvp_esd
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- config: ASVP_ESD
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- split: train
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- args: ASVP_ESD
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- metrics:
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- - name: Accuracy
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- type: accuracy
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- value: 0.46430910281597904
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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
@@ -30,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_awesome_emotion_model
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- This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the asvp_esd dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7259
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- - Accuracy: 0.4643
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  ## Model description
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@@ -67,21 +52,21 @@ 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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- | 2.4474 | 0.98 | 47 | 2.3539 | 0.2567 |
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- | 2.1378 | 1.99 | 95 | 2.1044 | 0.3530 |
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- | 2.006 | 2.99 | 143 | 1.9574 | 0.3949 |
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- | 1.8966 | 4.0 | 191 | 1.8966 | 0.4060 |
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- | 1.851 | 4.98 | 238 | 1.8110 | 0.4348 |
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- | 1.7784 | 5.99 | 286 | 1.7655 | 0.4486 |
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- | 1.6856 | 6.99 | 334 | 1.7469 | 0.4650 |
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- | 1.6076 | 8.0 | 382 | 1.7341 | 0.4558 |
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- | 1.6216 | 8.98 | 429 | 1.7312 | 0.4617 |
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- | 1.5692 | 9.84 | 470 | 1.7259 | 0.4643 |
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  ### Framework versions
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- - Transformers 4.35.2
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- - Pytorch 2.1.0+cu118
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- - Datasets 2.15.0
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- - Tokenizers 0.15.0
 
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  base_model: facebook/wav2vec2-base
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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: my_awesome_emotion_model
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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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  # my_awesome_emotion_model
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+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6526
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+ - Accuracy: 0.4938
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.4362 | 0.98 | 47 | 2.3331 | 0.3124 |
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+ | 2.1636 | 1.99 | 95 | 2.0618 | 0.3707 |
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+ | 1.9869 | 2.99 | 143 | 1.9420 | 0.3870 |
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+ | 1.8686 | 4.0 | 191 | 1.8900 | 0.3955 |
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+ | 1.7885 | 4.98 | 238 | 1.7958 | 0.4414 |
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+ | 1.6869 | 5.99 | 286 | 1.7295 | 0.4650 |
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+ | 1.6069 | 6.99 | 334 | 1.7144 | 0.4748 |
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+ | 1.5487 | 8.0 | 382 | 1.6685 | 0.4905 |
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+ | 1.5576 | 8.98 | 429 | 1.6590 | 0.4964 |
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+ | 1.4776 | 9.84 | 470 | 1.6526 | 0.4938 |
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  ### Framework versions
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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