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Upload noLM model

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: wav2vec-base-Millad_TIMIT
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+ results: []
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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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+ # wav2vec-base-Millad_TIMIT
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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 None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3772
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+ - Wer: 0.6859
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+ - Cer: 0.3217
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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: 0.0001
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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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_steps: 5000
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+ - num_epochs: 60
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
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+ | No log | 2.36 | 2000 | 2.6233 | 1.0130 | 0.6241 |
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+ | No log | 4.73 | 4000 | 2.2206 | 0.9535 | 0.5032 |
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+ | No log | 7.09 | 6000 | 2.3036 | 0.9368 | 0.5063 |
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+ | 1.235 | 9.46 | 8000 | 1.9932 | 0.9275 | 0.5032 |
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+ | 1.235 | 11.82 | 10000 | 2.0207 | 0.8922 | 0.4498 |
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+ | 1.235 | 14.18 | 12000 | 1.6171 | 0.7993 | 0.3976 |
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+ | 1.235 | 16.55 | 14000 | 1.6729 | 0.8309 | 0.4209 |
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+ | 0.2779 | 18.91 | 16000 | 1.7043 | 0.8141 | 0.4340 |
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+ | 0.2779 | 21.28 | 18000 | 1.7426 | 0.7658 | 0.3960 |
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+ | 0.2779 | 23.64 | 20000 | 1.5230 | 0.7361 | 0.3830 |
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+ | 0.2779 | 26.0 | 22000 | 1.4286 | 0.7658 | 0.3794 |
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+ | 0.1929 | 28.37 | 24000 | 1.4450 | 0.7379 | 0.3644 |
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+ | 0.1929 | 30.73 | 26000 | 1.5922 | 0.7491 | 0.3826 |
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+ | 0.1929 | 33.1 | 28000 | 1.4443 | 0.7454 | 0.3617 |
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+ | 0.1929 | 35.46 | 30000 | 1.5450 | 0.7268 | 0.3621 |
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+ | 0.1394 | 37.83 | 32000 | 1.9268 | 0.7491 | 0.3763 |
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+ | 0.1394 | 40.19 | 34000 | 1.7094 | 0.7342 | 0.3783 |
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+ | 0.1394 | 42.55 | 36000 | 1.4024 | 0.7082 | 0.3494 |
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+ | 0.1394 | 44.92 | 38000 | 1.4467 | 0.6840 | 0.3395 |
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+ | 0.104 | 47.28 | 40000 | 1.4145 | 0.6933 | 0.3407 |
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+ | 0.104 | 49.65 | 42000 | 1.3901 | 0.6970 | 0.3403 |
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+ | 0.104 | 52.01 | 44000 | 1.3589 | 0.6636 | 0.3348 |
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+ | 0.104 | 54.37 | 46000 | 1.3716 | 0.6952 | 0.3340 |
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+ | 0.0781 | 56.74 | 48000 | 1.4025 | 0.6896 | 0.3312 |
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+ | 0.0781 | 59.1 | 50000 | 1.3772 | 0.6859 | 0.3217 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.17.0
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+ - Pytorch 1.12.0+cu113
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+ - Datasets 1.18.3
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+ - Tokenizers 0.12.1
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_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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+ "Wav2Vec2ForCTC"
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+ ],
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+ "attention_dropout": 0.1,
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+ "ctc_loss_reduction": "mean",
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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": 0.0,
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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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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-05,
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+ "layerdrop": 0.1,
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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_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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+ "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": 29,
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+ "proj_codevector_dim": 256,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.17.0",
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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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+ }
preprocessor_config.json ADDED
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+ {
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