realHarter
commited on
Commit
•
38199ce
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Parent(s):
25dc3e4
End of training
Browse files- README.md +80 -0
- config.json +194 -0
- model.safetensors +3 -0
- preprocessor_config.json +9 -0
- runs/Jun15_16-54-22_6ae1b88b051f/events.out.tfevents.1718470466.6ae1b88b051f.8869.0 +3 -0
- runs/Jun15_16-57-58_6ae1b88b051f/events.out.tfevents.1718470679.6ae1b88b051f.9984.0 +3 -0
- runs/Jun15_17-02-01_6ae1b88b051f/events.out.tfevents.1718470922.6ae1b88b051f.11136.0 +3 -0
- runs/Jun15_17-02-01_6ae1b88b051f/events.out.tfevents.1718477782.6ae1b88b051f.11136.1 +3 -0
- training_args.bin +3 -0
README.md
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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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<!-- 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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# wav2vec2-base-finetuned-ks
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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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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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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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### Framework versions
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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
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config.json
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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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"adapter_stride": 2,
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"add_adapter": false,
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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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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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3,
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3,
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3,
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3,
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2,
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2
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],
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"conv_stride": [
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5,
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2,
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2,
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2,
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2,
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2
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],
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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_proj_dropout": 0.1,
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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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"7": "off",
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"8": "stop",
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"9": "go"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"_silence_": "35",
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"backward": "30",
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"bed": "20",
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"bird": "21",
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"cat": "22",
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"dog": "23",
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"down": "3",
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"eight": "18",
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"five": "15",
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"follow": "32",
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"forward": "31",
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"four": "14",
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"go": "9",
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"happy": "24",
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"house": "25",
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"learn": "33",
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"left": "4",
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"marvin": "26",
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"nine": "19",
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"no": "1",
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"off": "7",
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"on": "6",
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"one": "11",
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"right": "5",
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"seven": "17",
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"sheila": "27",
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"six": "16",
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"stop": "8",
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"three": "13",
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"tree": "28",
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"two": "12",
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"up": "2",
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"visual": "34",
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"wow": "29",
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"yes": "0",
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"zero": "10"
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},
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.0,
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"mask_channel_length": 10,
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"mask_channel_min_space": 1,
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"mask_channel_other": 0.0,
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"mask_channel_prob": 0.0,
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"mask_channel_selection": "static",
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_min_space": 1,
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"mask_time_other": 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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"no_mask_time_overlap": false,
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"num_adapter_layers": 3,
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"num_attention_heads": 12,
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"num_codevector_groups": 2,
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"num_codevectors_per_group": 320,
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_hidden_layers": 12,
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"num_negatives": 100,
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"output_hidden_size": 768,
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"pad_token_id": 0,
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"proj_codevector_dim": 256,
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"tdnn_dilation": [
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],
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"tdnn_dim": [
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512,
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512,
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],
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"tdnn_kernel": [
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],
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"torch_dtype": "float32",
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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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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e1f36380771113c079b9a54993eac6ac2d74ae0d497f8c84d8a17874515cbaae
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size 378337328
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preprocessor_config.json
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{
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"do_normalize": true,
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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runs/Jun15_16-54-22_6ae1b88b051f/events.out.tfevents.1718470466.6ae1b88b051f.8869.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:8db175486ebfa8df95fdb9fc73711190eb7e869f20c809ca761a29537939c03e
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size 8502
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runs/Jun15_16-57-58_6ae1b88b051f/events.out.tfevents.1718470679.6ae1b88b051f.9984.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:1fee9046afcf4ac691a6cdc6bf231875b7e6df57c223c6f0afc743a853f79fcd
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size 8090
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runs/Jun15_17-02-01_6ae1b88b051f/events.out.tfevents.1718470922.6ae1b88b051f.11136.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ec1b405a389eae7b13c042229ca87bfdc9f4de12f252a65b616822a386b5cfc
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size 14216
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runs/Jun15_17-02-01_6ae1b88b051f/events.out.tfevents.1718477782.6ae1b88b051f.11136.1
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version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:246128c0b2125f9577517f7782f7e715145f9c7bfd19d1138e8f0ac76f0c5152
|
3 |
+
size 411
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2af2f7f22296c766244898dacf711dd0802e2149c22b3bce9ca36a36ec7ced92
|
3 |
+
size 5112
|