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End of training

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README.md ADDED
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+ ---
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+ 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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+ - speech_commands
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: wav2vec2-base-finetuned-ks
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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: speech_commands
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+ type: speech_commands
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+ config: v0.02
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+ split: validation
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+ args: v0.02
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.9632338208775797
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # wav2vec2-base-finetuned-ks
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the speech_commands dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5562
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+ - Accuracy: 0.9632
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 256
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+ - eval_batch_size: 256
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 1024
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.5366 | 1.0 | 83 | 2.2424 | 0.8575 |
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+ | 1.963 | 2.0 | 166 | 1.6987 | 0.9537 |
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+ | 1.7887 | 3.0 | 249 | 1.5562 | 0.9632 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "facebook/wav2vec2-base",
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+ "activation_dropout": 0.0,
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+ "adapter_attn_dim": null,
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+ "adapter_kernel_size": 3,
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+ "apply_spec_augment": true,
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+ "architectures": [
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+ "Wav2Vec2ForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 1,
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+ "classifier_proj_size": 256,
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+ "codevector_dim": 256,
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+ "contrastive_logits_temperature": 0.1,
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+ "conv_bias": false,
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+ "conv_dim": [
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+ "conv_stride": [
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+ "ctc_loss_reduction": "sum",
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+ "ctc_zero_infinity": false,
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+ "diversity_loss_weight": 0.1,
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+ "do_stable_layer_norm": false,
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+ "eos_token_id": 2,
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+ "feat_extract_activation": "gelu",
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+ "feat_extract_norm": "group",
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+ "feat_quantizer_dropout": 0.0,
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+ "final_dropout": 0.0,
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+ "freeze_feat_extract_train": true,
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+ "hidden_act": "gelu",
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+ "hidden_dropout": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "yes",
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+ "1": "no",
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+ "10": "zero",
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+ "11": "one",
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+ "12": "two",
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+ "13": "three",
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+ "14": "four",
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+ "15": "five",
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+ "16": "six",
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+ "17": "seven",
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+ "18": "eight",
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+ "19": "nine",
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+ "2": "up",
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+ "20": "bed",
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+ "21": "bird",
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+ "22": "cat",
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+ "23": "dog",
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+ "24": "happy",
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+ "25": "house",
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+ "26": "marvin",
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+ "27": "sheila",
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+ "28": "tree",
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+ "29": "wow",
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+ "3": "down",
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+ "30": "backward",
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+ "31": "forward",
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+ "32": "follow",
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+ "33": "learn",
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+ "34": "visual",
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+ "35": "_silence_",
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+ "4": "left",
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+ "5": "right",
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+ "6": "on",
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+ "layer_norm_eps": 1e-05,
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+ "layerdrop": 0.0,
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+ "mask_time_prob": 0.05,
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+ "mask_time_selection": "static",
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+ "model_type": "wav2vec2",
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+ "no_mask_channel_overlap": false,
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+ "num_adapter_layers": 3,
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+ "num_codevectors_per_group": 320,
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+ "transformers_version": "4.41.2",
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 32,
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+ "xvector_output_dim": 512
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