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ImanN1/finetune_wav2vec2_960h_thirty

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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-960h
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: finetune_wav2vec2_960h_thirty
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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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+ # finetune_wav2vec2_960h_thirty
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7088
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+ - Wer: 30.8513
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+ - Cer: 15.3422
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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: 32
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+ - eval_batch_size: 16
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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: 2000
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+ - training_steps: 3800
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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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+ | 0.9521 | 2.8090 | 1000 | 0.7088 | 30.8513 | 15.3422 |
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+ | 0.6771 | 5.6180 | 2000 | 0.5857 | 26.9346 | 13.3483 |
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+ | 0.5499 | 8.4270 | 3000 | 0.5207 | 24.7273 | 12.1108 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.19.1
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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-960h",
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+ "activation_dropout": 0.1,
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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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+ "Wav2Vec2ForCTC"
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+ ],
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+ "attention_dropout": 0.1,
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+ "codevector_dim": 256,
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+ "ctc_loss_reduction": "mean",
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+ "feat_extract_activation": "gelu",
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+ "hidden_act": "gelu",
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+ "initializer_range": 0.02,
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+ "layer_norm_eps": 1e-05,
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+ "model_type": "wav2vec2",
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+ "num_adapter_layers": 3,
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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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+ "torch_dtype": "float32",
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+ "transformers_version": "4.40.2",
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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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