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baseline_ebranchformer_v2.2_fp32_gated
Lakoc/baseline_ebranchformer_v2.2_fp32_gated
baseline_ebranchformer_v2.2_fp32_gated is a machine learning model from Lakoc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- joint_aed_ctc_speech-encoder-decoder
- Access
- Public
- Created
- Aug 1, 2024
- Updated
- Aug 1, 2024
- SHA
- 231d88ed
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
baseline_ebranchformer_v2.2_fp32_gated
This model is a fine-tuned version of on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.002
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 512
- total_eval_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20000
- num_epochs: 150.0
Training results
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.0+rocm5.6
- Datasets 2.18.0
- Tokenizers 0.15.2
Wandb run
https://wandb.ai/butspeechfit/librispeech_aed/runs/baseline_ebranchformer_v2.2_fp32_gated
- Library
- transformers
- Type
- joint_aed_ctc_speech-encoder-decoder
- Created
- Aug 1, 2024
- Updated
- Aug 1, 2024