From c9cc99db50e2eb13c5abb4a7409f88bf0a8f108d Mon Sep 17 00:00:00 2001
From: hnluo <haoneng.lhn@alibaba-inc.com>
Date: 星期五, 21 七月 2023 16:28:35 +0800
Subject: [PATCH] Update RESULTS.md

---
 egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/RESULTS.md |   12 ++++++------
 1 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/RESULTS.md b/egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/RESULTS.md
index 5f1abb6..ab163fd 100644
--- a/egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/RESULTS.md
+++ b/egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/RESULTS.md
@@ -72,7 +72,7 @@
 ## Fine-tuning
 - Train config: 
   - Training data: aishell-1
-  - Training info: lr 0.0002, batch size 2000, 2 gpu, acc_grad 1, 20 epochs
+  - Training info: lr 0.0002, dataset_type: small, batch bins 2000, 2 gpu, acc_grad 1, 20 epochs
   - Decoding info: beam_size 1, average_num 10
 
 | model    | dev cer(%) | test cer(%) |
@@ -82,14 +82,14 @@
 
 - Train config: 
   - Training data: 16k sichuan dialect
-  - Training info: lr 0.0002, batch size 2000, 2 gpu, acc_grad 1, 20 epochs
+  - Training info: lr 0.0002, dataset_type: small, batch bins 2000, 2 gpu, acc_grad 1, 20 epochs
   - Decoding info: beam_size 1, average_num 10
   
   
 |   model  | Training Data(h) | cn cer(%) | sichuan cer(%) |
 |:--------:|:-------------:|:-------:|:------------:|
 | Pretrain |               |   8.57  |     19.81    |
-| Finetune |      50      |   8.8   |      12      |
+| Full-tuning |      50      |   8.8   |      12      |
 |          |      100     |   9.24  |     11.63    |
 |          |      200     |   9.82  |     10.47    |
 |          |      300     |   9.95  |     10.44    |
@@ -99,7 +99,7 @@
 ## Lora Fine-tuning
 - Train config: 
   - Training data: 16k sichuan dialect
-  - Training info: lr 0.0002, batch size 2000, 2 gpu, acc_grad 1, 20 epochs
+  - Training info: lr 0.0002, dataset_type: small, batch bins 2000, 2 gpu, acc_grad 1, 20 epochs
   - Lora info: lora_bias: "all", lora_list ['q','v'], lora_rank:8, lora_alpha:16, lora_dropout:0.1
   - Decoding info: beam_size 1, average_num 10
   
@@ -107,8 +107,8 @@
 |:-------------:|:----------------:|:-----------------------:|:---------:|:--------------:|
 |    Pretrain   |                  |                         |    8.57   |      19.81     |
 |               |                  |                         |           |                |
-|    Finetune   |        50        |          220.9          |    8.8    |       12       |
+|    Full-tuning   |        50        |          220.9          |    8.8    |       12       |
 | Lora Finetune |        50        |           2.29          |    9.13   |      12.13     |
 |               |                  |                         |           |                |
-|    Finetune   |        200       |          220.9          |    9.82   |      10.47     |
+|    Full-tuning   |        200       |          220.9          |    9.82   |      10.47     |
 | Lora Finetune |        200       |           2.29          |    9.21   |      11.28     |

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