diff --git a/evals/README.Rmd b/evals/README.Rmd
index 0991a44..b65b949 100644
--- a/evals/README.Rmd
+++ b/evals/README.Rmd
@@ -102,8 +102,8 @@ asr_wers <- asr_results %>%
     wer = wer * 100,
     is_baseline = model == "wav2vec2-large-robust-ft-swbd-300h",
     
-    `Fine-tuning` = ifelse(model == "wav2vec2-large-robust-ft-swbd-300h", "None", "39 minutes"),
-    `Fine-tuning` = factor(`Fine-tuning`, levels = c("None", "39 minutes")),
+    `Fine-tuning` = ifelse(model == "wav2vec2-large-robust-ft-swbd-300h", "None", "<1 minute"),
+    `Fine-tuning` = factor(`Fine-tuning`, levels = c("None", "<1 minute")),
     `Language Model` = ifelse(model_lm, "2-gram", "None"),
     `Language Model` = factor(`Language Model`, levels = c("None", "2-gram"))
   ) 
diff --git a/evals/README.md b/evals/README.md
index 155e2df..3034b92 100644
--- a/evals/README.md
+++ b/evals/README.md
@@ -1,7 +1,7 @@
 SLI-ASR Evaluations
 ================
 Nay San
-15 April, 2022
+23 April, 2022
 
 ``` r
 library(tidyverse)
@@ -108,14 +108,17 @@ asr_results %>%
   knitr::kable()
 ```
 
-| model                              | model\_lm | testset  |  wer |  cer |
-|:-----------------------------------|:----------|:---------|-----:|-----:|
-| train-100                          | FALSE     | test.tsv | 0.11 | 0.05 |
-| train-80                           | FALSE     | test.tsv | 0.13 | 0.05 |
-| train-60                           | FALSE     | test.tsv | 0.16 | 0.06 |
-| train-40                           | FALSE     | test.tsv | 0.37 | 0.14 |
-| train-20                           | FALSE     | test.tsv | 0.98 | 0.78 |
-| wav2vec2-large-robust-ft-swbd-300h | FALSE     | test.tsv | 0.37 | 0.22 |
+| model                              | model\_lm | testset  |   wer |   cer |
+|:-----------------------------------|:----------|:---------|------:|------:|
+| train-100                          | FALSE     | test.tsv | 0.101 | 0.042 |
+| train-80                           | FALSE     | test.tsv | 0.101 | 0.044 |
+| train-60                           | FALSE     | test.tsv | 0.118 | 0.052 |
+| train-40                           | FALSE     | test.tsv | 0.123 | 0.055 |
+| train-20                           | FALSE     | test.tsv | 0.132 | 0.061 |
+| train-10                           | FALSE     | test.tsv | 0.134 | 0.061 |
+| train-05                           | FALSE     | test.tsv | 0.151 | 0.067 |
+| train-01                           | FALSE     | test.tsv | 0.191 | 0.088 |
+| wav2vec2-large-robust-ft-swbd-300h | FALSE     | test.tsv | 0.363 | 0.215 |
 
 ### Cross-validation experiments
 
@@ -127,8 +130,8 @@ asr_wers <- asr_results %>%
     wer = wer * 100,
     is_baseline = model == "wav2vec2-large-robust-ft-swbd-300h",
     
-    `Fine-tuning` = ifelse(model == "wav2vec2-large-robust-ft-swbd-300h", "None", "39 minutes"),
-    `Fine-tuning` = factor(`Fine-tuning`, levels = c("None", "39 minutes")),
+    `Fine-tuning` = ifelse(model == "wav2vec2-large-robust-ft-swbd-300h", "None", "<1 minute"),
+    `Fine-tuning` = factor(`Fine-tuning`, levels = c("None", "<1 minute")),
     `Language Model` = ifelse(model_lm, "2-gram", "None"),
     `Language Model` = factor(`Language Model`, levels = c("None", "2-gram"))
   ) 
diff --git a/evals/README_files/figure-gfm/cross-validation-1.png b/evals/README_files/figure-gfm/cross-validation-1.png
index 187ac6b..1734d53 100644
Binary files a/evals/README_files/figure-gfm/cross-validation-1.png and b/evals/README_files/figure-gfm/cross-validation-1.png differ
diff --git a/evals/asr_wer-cer.csv b/evals/asr_wer-cer.csv
index 0049b9a..b99b122 100644
--- a/evals/asr_wer-cer.csv
+++ b/evals/asr_wer-cer.csv
@@ -1,37 +1,40 @@
-model,model_lm,testset,wer,cer
-train-100,False,test.tsv,0.11,0.05
-train-80,False,test.tsv,0.13,0.05
-train-60,False,test.tsv,0.16,0.06
-train-40,False,test.tsv,0.37,0.14
-train-20,False,test.tsv,0.98,0.78
-wav2vec2-large-robust-ft-swbd-300h,False,test.tsv,0.37,0.22
-b-1,False,bootstrap-1-test20.tsv,0.22,0.09
-b-2,False,bootstrap-2-test20.tsv,0.23,0.09
-b-3,False,bootstrap-3-test20.tsv,0.15,0.06
-b-4,False,bootstrap-4-test20.tsv,0.2,0.08
-b-5,False,bootstrap-5-test20.tsv,0.23,0.09
-b-6,False,bootstrap-6-test20.tsv,0.17,0.07
-b-7,False,bootstrap-7-test20.tsv,0.18,0.07
-b-8,False,bootstrap-8-test20.tsv,0.15,0.06
-b-9,False,bootstrap-9-test20.tsv,0.18,0.07
-b-10,False,bootstrap-10-test20.tsv,0.19,0.07
-b-1,True,bootstrap-1-test20.tsv,0.13,0.06
-b-2,True,bootstrap-2-test20.tsv,0.11,0.05
-b-3,True,bootstrap-3-test20.tsv,0.13,0.06
-b-4,True,bootstrap-4-test20.tsv,0.13,0.06
-b-5,True,bootstrap-5-test20.tsv,0.13,0.06
-b-6,True,bootstrap-6-test20.tsv,0.18,0.08
-b-7,True,bootstrap-7-test20.tsv,0.15,0.07
-b-8,True,bootstrap-8-test20.tsv,0.11,0.05
-b-9,True,bootstrap-9-test20.tsv,0.17,0.08
-b-10,True,bootstrap-10-test20.tsv,0.14,0.06
-wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-1-test20.tsv,0.36,0.23
-wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-2-test20.tsv,0.37,0.22
-wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-3-test20.tsv,0.35,0.22
-wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-4-test20.tsv,0.34,0.21
-wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-5-test20.tsv,0.38,0.24
-wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-6-test20.tsv,0.36,0.24
-wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-7-test20.tsv,0.35,0.22
-wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-8-test20.tsv,0.34,0.22
-wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-9-test20.tsv,0.38,0.25
-wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-10-test20.tsv,0.34,0.21
+model,model_lm,testset,wer,cer
+train-100,False,test.tsv,0.101,0.042
+train-80,False,test.tsv,0.101,0.044
+train-60,False,test.tsv,0.118,0.052
+train-40,False,test.tsv,0.123,0.055
+train-20,False,test.tsv,0.132,0.061
+train-10,False,test.tsv,0.134,0.061
+train-05,False,test.tsv,0.151,0.067
+train-01,False,test.tsv,0.191,0.088
+wav2vec2-large-robust-ft-swbd-300h,False,test.tsv,0.363,0.215
+b-1,False,bootstrap-1-test20.tsv,0.187,0.09
+b-2,False,bootstrap-2-test20.tsv,0.167,0.077
+b-3,False,bootstrap-3-test20.tsv,0.173,0.079
+b-4,False,bootstrap-4-test20.tsv,0.173,0.086
+b-5,False,bootstrap-5-test20.tsv,0.195,0.093
+b-6,False,bootstrap-6-test20.tsv,0.173,0.084
+b-7,False,bootstrap-7-test20.tsv,0.187,0.087
+b-8,False,bootstrap-8-test20.tsv,0.194,0.09
+b-9,False,bootstrap-9-test20.tsv,0.188,0.085
+b-10,False,bootstrap-10-test20.tsv,0.186,0.088
+b-1,True,bootstrap-1-test20.tsv,0.196,0.087
+b-2,True,bootstrap-2-test20.tsv,0.188,0.083
+b-3,True,bootstrap-3-test20.tsv,0.179,0.083
+b-4,True,bootstrap-4-test20.tsv,0.178,0.089
+b-5,True,bootstrap-5-test20.tsv,0.219,0.103
+b-6,True,bootstrap-6-test20.tsv,0.196,0.089
+b-7,True,bootstrap-7-test20.tsv,0.21,0.092
+b-8,True,bootstrap-8-test20.tsv,0.201,0.09
+b-9,True,bootstrap-9-test20.tsv,0.213,0.093
+b-10,True,bootstrap-10-test20.tsv,0.216,0.094
+wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-1-test20.tsv,0.358,0.225
+wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-2-test20.tsv,0.365,0.223
+wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-3-test20.tsv,0.354,0.215
+wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-4-test20.tsv,0.34,0.212
+wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-5-test20.tsv,0.379,0.236
+wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-6-test20.tsv,0.356,0.237
+wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-7-test20.tsv,0.348,0.219
+wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-8-test20.tsv,0.341,0.221
+wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-9-test20.tsv,0.378,0.248
+wav2vec2-large-robust-ft-swbd-300h,False,bootstrap-10-test20.tsv,0.338,0.211
diff --git a/scripts/exp_asr-eval.py b/scripts/exp_asr-eval.py
index a941460..873e342 100644
--- a/scripts/exp_asr-eval.py
+++ b/scripts/exp_asr-eval.py
@@ -86,8 +86,8 @@ def make_all_lowercase(batch):
         "model" : os.path.basename(model_path),
         "model_lm" : type(processor).__name__ == 'Wav2Vec2ProcessorWithLM',
         "testset" : os.path.basename(testset_path),
-        "wer" : round(wer(test_ds['sentence'], test_ds['transcription']), 2),
-        "cer" : round(cer(test_ds['sentence'], test_ds['transcription']), 2)
+        "wer" : round(wer(test_ds['sentence'], test_ds['transcription']), 3),
+        "cer" : round(cer(test_ds['sentence'], test_ds['transcription']), 3)
     })
 
 results_df = pd.DataFrame(EVAL_RESULTS)
diff --git a/scripts/exp_asr-train.sh b/scripts/exp_asr-train.sh
index 2c4660b..52cdb3e 100755
--- a/scripts/exp_asr-train.sh
+++ b/scripts/exp_asr-train.sh
@@ -19,8 +19,9 @@ do
    python scripts/train_asr-by-w2v2-ft.py \
    facebook/wav2vec2-large-robust-ft-swbd-300h \
    "data/exps/asr/checkpoints/bootstrap/no-lm/b-$j" \
-   "data/exps/asr/datasets/bootstrap-$j-train60.tsv" \
-   "data/exps/asr/datasets/bootstrap-$j-test20.tsv"
+   "data/exps/asr/datasets/bootstrap-$j-train01.tsv" \
+   "data/exps/asr/datasets/bootstrap-$j-test20.tsv" \
+   --use_target_vocab False
 done
 
 # Cross-validation experiments with a bigram language model
@@ -29,7 +30,8 @@ do
    python scripts/train_asr-by-w2v2-ft.py \
    facebook/wav2vec2-large-robust-ft-swbd-300h \
    "data/exps/asr/checkpoints/bootstrap/lm/b-$k" \
-   "data/exps/asr/datasets/bootstrap-$k-train60.tsv" \
+   "data/exps/asr/datasets/bootstrap-$k-train01.tsv" \
    "data/exps/asr/datasets/bootstrap-$k-test20.tsv" \
-   --lm_arpa data/exps/asr/2gram_correct.arpa
+   --lm_arpa data/exps/asr/datasets/20220422_2gram-correct.arpa \
+   --use_target_vocab False
 done