From e24dbdc496debec225414d4d2c760f5775e64f2a Mon Sep 17 00:00:00 2001
From: 天地 <tiandiweizun@gmail.com>
Date: 星期三, 26 三月 2025 13:44:41 +0800
Subject: [PATCH] 感觉应该从文件读取更合适，因为上面判断了文件存在，且可以读取，如果本身是文本的话，下面也会有逻辑进行处理 (#2452)
---
funasr/models/conformer/template.yaml | 18 +++++++++---------
1 files changed, 9 insertions(+), 9 deletions(-)
diff --git a/funasr/models/conformer/template.yaml b/funasr/models/conformer/template.yaml
index 6094313..5a8687e 100644
--- a/funasr/models/conformer/template.yaml
+++ b/funasr/models/conformer/template.yaml
@@ -2,12 +2,11 @@
# You can modify the configuration according to your own requirements.
# to print the register_table:
-# from funasr.utils.register import registry_tables
-# registry_tables.print()
+# from funasr.register import tables
+# tables.print()
# network architecture
-#model: funasr.models.paraformer.model:Paraformer
-model: Transformer
+model: Conformer
model_conf:
ctc_weight: 0.3
lsm_weight: 0.1 # label smoothing option
@@ -16,14 +15,14 @@
# encoder
encoder: ConformerEncoder
encoder_conf:
- output_size: 256 # dimension of attention
+ output_size: 256
attention_heads: 4
- linear_units: 2048 # the number of units of position-wise feed forward
- num_blocks: 12 # the number of encoder blocks
+ linear_units: 2048
+ num_blocks: 12
dropout_rate: 0.1
positional_dropout_rate: 0.1
attention_dropout_rate: 0.0
- input_layer: conv2d # encoder architecture type
+ input_layer: conv2d
normalize_before: true
pos_enc_layer_type: rel_pos
selfattention_layer_type: rel_selfattn
@@ -52,6 +51,7 @@
n_mels: 80
frame_length: 25
frame_shift: 10
+ dither: 0.0
lfr_m: 1
lfr_n: 1
@@ -95,7 +95,7 @@
dataset: AudioDataset
dataset_conf:
index_ds: IndexDSJsonl
- batch_sampler: DynamicBatchLocalShuffleSampler
+ batch_sampler: BatchSampler
batch_type: example # example or length
batch_size: 1 # if batch_type is example, batch_size is the numbers of samples; if length, batch_size is source_token_len+target_token_len;
max_token_length: 2048 # filter samples if source_token_len+target_token_len > max_token_length,
--
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