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README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-large
+tags:
+- audio-classification
+- generated_from_trainer
+datasets:
+- superb
+metrics:
+- accuracy
+model-index:
+- name: superb_ks_42
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: superb
+      type: superb
+      config: ks
+      split: validation
+      args: ks
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6215063253898205
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# superb_ks_42
+
+This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the superb dataset.
+It achieves the following results on the evaluation set:
+- Loss: 80.4388
+- Accuracy: 0.6215
+- Test Accuracy: 0.6215
+- Df Accuracy: 0.1346
+- Unlearn Overall Accuracy: 0.7435
+- Unlearn Time: 640.7721
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Overall Accuracy | Unlearn Overall Accuracy | Time |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:----------------:|:------------------------:|:----:|
+| No log        | 1.0   | 189  | 7.6645          | 0.1343   | 0.7433           | 0.7433                   | -1   |
+| No log        | 2.0   | 378  | 30.0267         | 0.2179   | 0.7179           | 0.7179                   | -1   |
+| No log        | 3.0   | 567  | 58.5008         | 0.1343   | 0.7433           | 0.7433                   | -1   |
+| No log        | 4.0   | 756  | 74.2509         | 0.1432   | 0.7403           | 0.7403                   | -1   |
+| No log        | 5.0   | 945  | 80.4388         | 0.1346   | 0.7435           | 0.7435                   | -1   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

all_results.json

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+{
+    "df_accuracy": 0.1345899470899471,
+    "dr_accuracy": 0.6691075514874142,
+    "dr_loss": 70.26356506347656,
+    "dr_runtime": 170.2233,
+    "dr_samples_per_second": 282.394,
+    "dr_steps_per_second": 35.301,
+    "dr_unlearn_overall_accuracy": 0.7672588021987335,
+    "epoch": 5.0,
+    "eval_accuracy": 0.6215063253898205,
+    "eval_loss": 80.43878936767578,
+    "eval_runtime": 31.8707,
+    "eval_samples_per_second": 213.299,
+    "eval_steps_per_second": 26.67,
+    "eval_unlearn_overall_accuracy": 0.7434581891499368,
+    "test_accuracy": 0.6691075514874142,
+    "test_loss": 202.1115264892578,
+    "test_runtime": 17.4177,
+    "test_samples_per_second": 176.889,
+    "test_steps_per_second": 22.161,
+    "test_unlearn_overall_accuracy": 0.474412264364796,
+    "train_loss": 0.0,
+    "train_runtime": 640.0755,
+    "train_samples_per_second": 47.244,
+    "train_steps_per_second": 1.476,
+    "unlearn_overall_accuracy": 0.7672588021987335,
+    "unlearn_time": 640.7720623016357
+}

config.json

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+{
+  "_name_or_path": "./audio/train/checkpoint/wav2vec2-large/superb_ks_42",
+  "activation_dropout": 0.1,
+  "adapter_attn_dim": null,
+  "adapter_kernel_size": 3,
+  "adapter_stride": 2,
+  "add_adapter": false,
+  "apply_spec_augment": true,
+  "architectures": [
+    "Wav2Vec2ForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 1,
+  "classifier_proj_size": 256,
+  "codevector_dim": 768,
+  "contrastive_logits_temperature": 0.1,
+  "conv_bias": false,
+  "conv_dim": [
+    512,
+    512,
+    512,
+    512,
+    512,
+    512,
+    512
+  ],
+  "conv_kernel": [
+    10,
+    3,
+    3,
+    3,
+    3,
+    2,
+    2
+  ],
+  "conv_stride": [
+    5,
+    2,
+    2,
+    2,
+    2,
+    2,
+    2
+  ],
+  "ctc_loss_reduction": "sum",
+  "ctc_zero_infinity": false,
+  "diversity_loss_weight": 0.1,
+  "do_stable_layer_norm": false,
+  "eos_token_id": 2,
+  "feat_extract_activation": "gelu",
+  "feat_extract_dropout": 0.0,
+  "feat_extract_norm": "group",
+  "feat_proj_dropout": 0.1,
+  "feat_quantizer_dropout": 0.0,
+  "final_dropout": 0.1,
+  "finetuning_task": "audio-classification",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.1,
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "yes",
+    "1": "no",
+    "10": "_silence_",
+    "11": "_unknown_",
+    "2": "up",
+    "3": "down",
+    "4": "left",
+    "5": "right",
+    "6": "on",
+    "7": "off",
+    "8": "stop",
+    "9": "go"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "_silence_": "10",
+    "_unknown_": "11",
+    "down": "3",
+    "go": "9",
+    "left": "4",
+    "no": "1",
+    "off": "7",
+    "on": "6",
+    "right": "5",
+    "stop": "8",
+    "up": "2",
+    "yes": "0"
+  },
+  "layer_norm_eps": 1e-05,
+  "layerdrop": 0.1,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "model_type": "wav2vec2",
+  "num_adapter_layers": 3,
+  "num_attention_heads": 16,
+  "num_codevector_groups": 2,
+  "num_codevectors_per_group": 320,
+  "num_conv_pos_embedding_groups": 16,
+  "num_conv_pos_embeddings": 128,
+  "num_feat_extract_layers": 7,
+  "num_hidden_layers": 24,
+  "num_negatives": 100,
+  "output_hidden_size": 1024,
+  "pad_token_id": 0,
+  "proj_codevector_dim": 768,
+  "tdnn_dilation": [
+    1,
+    2,
+    3,
+    1,
+    1
+  ],
+  "tdnn_dim": [
+    512,
+    512,
+    512,
+    512,
+    1500
+  ],
+  "tdnn_kernel": [
+    5,
+    3,
+    3,
+    1,
+    1
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "use_weighted_layer_sum": false,
+  "vocab_size": 32,
+  "xvector_output_dim": 512
+}

dr_results.json

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+    "dr_accuracy": 0.6691075514874142,
+    "dr_loss": 70.26356506347656,
+    "dr_runtime": 170.2233,
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+    "dr_steps_per_second": 35.301,
+    "dr_unlearn_overall_accuracy": 0.7672588021987335,
+    "epoch": 5.0,
+    "test_accuracy": 0.6691075514874142,
+    "unlearn_overall_accuracy": 0.7672588021987335,
+    "unlearn_time": 640.7720623016357
+}

eval_results.json

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+    "test_accuracy": 0.6215063253898205,
+    "unlearn_overall_accuracy": 0.7434581891499368,
+    "unlearn_time": 640.7720623016357
+}

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preprocessor_config.json

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+  "padding_side": "right",
+  "padding_value": 0.0,
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+  "sampling_rate": 16000
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test_results.json

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train_results.json

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trainer_state.json

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