End of training
Browse files- README.md +61 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/hubert-large-ls960-ft
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tags:
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- generated_from_trainer
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model-index:
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- name: hubert-large-timit-upsample-decoder
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results: []
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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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# hubert-large-timit-upsample-decoder
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This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- epoch: 19.8020
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- eval_loss: 1.6481
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- eval_runtime: 163.5833
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- eval_samples_per_second: 8.497
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- eval_steps_per_second: 4.249
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- eval_wer: 0.9181
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- step: 4000
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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: 0.0003
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- train_batch_size: 8
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Use 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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- num_epochs: 40
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.2.1
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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training_args.bin
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