add e-branchformer result for tedlium3 and add checker for text output length #5130
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| conf/tuning/train_asr_e_branchformer_size256_mlp1024_e12_mactrue.yaml |
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| # Trained with NVIDIA V100 GPU (32GB) x 4 | ||
| encoder: e_branchformer | ||
| encoder_conf: | ||
| output_size: 256 | ||
| attention_heads: 4 | ||
| attention_layer_type: rel_selfattn | ||
| pos_enc_layer_type: rel_pos | ||
| rel_pos_type: latest | ||
| cgmlp_linear_units: 1024 | ||
| cgmlp_conv_kernel: 31 | ||
| use_linear_after_conv: false | ||
| gate_activation: identity | ||
| num_blocks: 12 | ||
| dropout_rate: 0.1 | ||
| positional_dropout_rate: 0.1 | ||
| attention_dropout_rate: 0.1 | ||
| input_layer: conv2d | ||
| layer_drop_rate: 0.0 | ||
| linear_units: 1024 | ||
| positionwise_layer_type: linear | ||
| use_ffn: true | ||
| macaron_ffn: true | ||
| merge_conv_kernel: 31 | ||
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| decoder: transformer | ||
| decoder_conf: | ||
| attention_heads: 4 | ||
| linear_units: 2048 | ||
| num_blocks: 6 | ||
| dropout_rate: 0.1 | ||
| positional_dropout_rate: 0.1 | ||
| self_attention_dropout_rate: 0.1 | ||
| src_attention_dropout_rate: 0.1 | ||
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| model_conf: | ||
| ctc_weight: 0.3 | ||
| lsm_weight: 0.1 | ||
| length_normalized_loss: false | ||
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| frontend_conf: | ||
| n_fft: 512 | ||
| win_length: 400 | ||
| hop_length: 160 | ||
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| seed: 2022 | ||
| use_amp: true | ||
| num_workers: 6 | ||
| batch_type: numel | ||
| batch_bins: 50000000 | ||
| accum_grad: 1 | ||
| max_epoch: 50 | ||
| init: none | ||
| best_model_criterion: | ||
| - - valid | ||
| - acc | ||
| - max | ||
| keep_nbest_models: 10 | ||
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| optim: adam | ||
| optim_conf: | ||
| lr: 0.002 | ||
| weight_decay: 0.000001 | ||
| scheduler: warmuplr | ||
| scheduler_conf: | ||
| warmup_steps: 15000 | ||
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| specaug: specaug | ||
| specaug_conf: | ||
| apply_time_warp: true | ||
| time_warp_window: 5 | ||
| time_warp_mode: bicubic | ||
| apply_freq_mask: true | ||
| freq_mask_width_range: | ||
| - 0 | ||
| - 27 | ||
| num_freq_mask: 2 | ||
| apply_time_mask: true | ||
| time_mask_width_ratio_range: | ||
| - 0. | ||
| - 0.05 | ||
| num_time_mask: 5 |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,3 +1,5 @@ | ||
| # Trained with NVIDIA V100 GPU (32GB) x 4 | ||
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| lm: transformer | ||
| lm_conf: | ||
| pos_enc: null | ||
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@sw005320 @Some-random Sorry, really late on that (I didn't sync w/ master in a while) but why was it added and how was the limit defined?
I was a bit confused when I saw that thousand of warnings were displayed in my training logs!
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Yes, it was added to a warning of the large memory consumption, but
100is probably too small.So, we can change it to
500or more.Sorry about it.
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Thanks and no worries, I'll open a PR!
Edit: You're too fast for me Professor! 😄