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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - en
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - maliced/l2-arctic
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+ model-index:
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+ - name: MDD Transformer Tiny
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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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+ # MDD Transformer Tiny
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on the L2 Arctic dataset.
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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: 1e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 16
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 4000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.52.1
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+ - Pytorch 2.7.0+cpu
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
config.json ADDED
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+ {
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+ "architectures": [
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+ "MDDTransformer"
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+ ],
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+ "hidden_dropout_prob": 0.1,
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+ "input_channels": 2,
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+ "max_source_positions": 3000,
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+ "model_type": "mdd_transformer",
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+ "num_attention_heads_decoder": 2,
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+ "num_classes": 43,
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+ "num_cross_attention_heads": 2,
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+ "num_decoder_layers": 2,
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+ "num_encoder_layers": 2,
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+ "num_mel_bins": 80,
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+ "projector_activation": "softmax",
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+ "tokens": [
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+ "SIL",
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+ ],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.52.1"
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+ }
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