model upd
Browse files- all_results.json +12 -12
- config.json +1 -1
- eval_results.json +7 -7
- log_mozilla-foundation_common_voice_8_0_uk_test_predictions.txt +0 -0
- mozilla-foundation_common_voice_8_0_uk_test_eval_results.txt +2 -2
- pytorch_model.bin +1 -1
- run.sh +7 -6
- run_speech_recognition_ctc.py +3 -3
- runs/Feb05_17-03-38_job-680ae191-b2c7-4b97-adaf-cb186b6c96a6/1644080998.635567/events.out.tfevents.1644080998.job-680ae191-b2c7-4b97-adaf-cb186b6c96a6.1687777.1 +3 -0
- runs/Feb05_17-03-38_job-680ae191-b2c7-4b97-adaf-cb186b6c96a6/events.out.tfevents.1644080998.job-680ae191-b2c7-4b97-adaf-cb186b6c96a6.1687777.0 +3 -0
- runs/Feb05_17-03-38_job-680ae191-b2c7-4b97-adaf-cb186b6c96a6/events.out.tfevents.1644214441.job-680ae191-b2c7-4b97-adaf-cb186b6c96a6.1687777.2 +3 -0
- special_tokens_map.json +1 -1
- speech-recognition-community-v2_dev_data_uk_validation_eval_results.txt +2 -0
- train_results.json +6 -6
- trainer_state.json +614 -454
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -1,15 +1,15 @@
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|
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{
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-
"epoch":
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-
"eval_cer": 0.
|
4 |
-
"eval_loss": 0.
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-
"eval_runtime":
|
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"eval_samples": 5802,
|
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-
"eval_samples_per_second": 29.
|
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-
"eval_steps_per_second": 0.
|
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-
"eval_wer": 0.
|
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-
"train_loss":
|
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-
"train_runtime":
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-
"train_samples":
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-
"train_samples_per_second":
|
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-
"train_steps_per_second": 0.
|
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}
|
|
|
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{
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+
"epoch": 38.59,
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+
"eval_cer": 0.032260099136267845,
|
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+
"eval_loss": 0.10924588888883591,
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"eval_runtime": 200.0507,
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"eval_samples": 5802,
|
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+
"eval_samples_per_second": 29.003,
|
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+
"eval_steps_per_second": 0.455,
|
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+
"eval_wer": 0.17520883477275945,
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+
"train_loss": 1.0786900800069172,
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"train_runtime": 133237.4383,
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+
"train_samples": 39803,
|
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+
"train_samples_per_second": 11.528,
|
14 |
+
"train_steps_per_second": 0.09
|
15 |
}
|
config.json
CHANGED
@@ -64,7 +64,7 @@
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|
64 |
"mask_feature_prob": 0.25,
|
65 |
"mask_time_length": 10,
|
66 |
"mask_time_min_masks": 2,
|
67 |
-
"mask_time_prob": 0.
|
68 |
"model_type": "wav2vec2",
|
69 |
"num_adapter_layers": 3,
|
70 |
"num_attention_heads": 16,
|
|
|
64 |
"mask_feature_prob": 0.25,
|
65 |
"mask_time_length": 10,
|
66 |
"mask_time_min_masks": 2,
|
67 |
+
"mask_time_prob": 0.7,
|
68 |
"model_type": "wav2vec2",
|
69 |
"num_adapter_layers": 3,
|
70 |
"num_attention_heads": 16,
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eval_results.json
CHANGED
@@ -1,10 +1,10 @@
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1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_cer": 0.
|
4 |
-
"eval_loss": 0.
|
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"eval_runtime":
|
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"eval_samples": 5802,
|
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"eval_samples_per_second": 29.
|
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"eval_steps_per_second": 0.
|
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-
"eval_wer": 0.
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}
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|
|
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{
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+
"epoch": 38.59,
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"eval_cer": 0.032260099136267845,
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"eval_loss": 0.10924588888883591,
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"eval_runtime": 200.0507,
|
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"eval_samples": 5802,
|
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+
"eval_samples_per_second": 29.003,
|
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+
"eval_steps_per_second": 0.455,
|
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+
"eval_wer": 0.17520883477275945
|
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}
|
log_mozilla-foundation_common_voice_8_0_uk_test_predictions.txt
CHANGED
The diff for this file is too large to render.
See raw diff
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mozilla-foundation_common_voice_8_0_uk_test_eval_results.txt
CHANGED
@@ -1,2 +1,2 @@
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-
WER: 0.
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-
CER: 0.
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|
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+
WER: 0.10406342913776016
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CER: 0.020387492208601702
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pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 3850512561
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version https://git-lfs.github.com/spec/v1
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size 3850512561
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run.sh
CHANGED
@@ -1,9 +1,10 @@
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|
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python run_speech_recognition_ctc.py \
|
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-
--dataset_name /workspace/data/uk/
|
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--train_split_name train \
|
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--model_name_or_path="facebook/wav2vec2-xls-r-1b" \
|
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-
--output_dir
|
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-
--
|
|
|
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--per_device_train_batch_size="16" \
|
8 |
--per_device_eval_batch_size="64" \
|
9 |
--gradient_accumulation_steps="8" \
|
@@ -18,12 +19,12 @@ python run_speech_recognition_ctc.py \
|
|
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--save_steps="500" \
|
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--eval_steps="500" \
|
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--logging_steps="100" \
|
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-
--save_total_limit
|
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--freeze_feature_encoder \
|
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--layerdrop="0.1" \
|
24 |
--activation_dropout="0.1" \
|
25 |
--feat_proj_dropout="0.0" \
|
26 |
-
--mask_time_prob="0.
|
27 |
--mask_time_length="10" \
|
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--mask_feature_prob="0.25" \
|
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--mask_feature_length="64" \
|
@@ -34,6 +35,6 @@ python run_speech_recognition_ctc.py \
|
|
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--do_train --do_eval \
|
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--load_best_model_at_end \
|
36 |
--report_to all \
|
37 |
-
--run_name="xlsr-uk-
|
38 |
--wandb_project="xlsr-uk" \
|
39 |
--bnb --tristage_sched
|
|
|
1 |
python run_speech_recognition_ctc.py \
|
2 |
+
--dataset_name /workspace/data/uk/composed_dataset/ \
|
3 |
--train_split_name train \
|
4 |
--model_name_or_path="facebook/wav2vec2-xls-r-1b" \
|
5 |
+
--output_dir ./ \
|
6 |
+
--overwrite_output_dir \
|
7 |
+
--max_steps 12000 \
|
8 |
--per_device_train_batch_size="16" \
|
9 |
--per_device_eval_batch_size="64" \
|
10 |
--gradient_accumulation_steps="8" \
|
|
|
19 |
--save_steps="500" \
|
20 |
--eval_steps="500" \
|
21 |
--logging_steps="100" \
|
22 |
+
--save_total_limit 10 \
|
23 |
--freeze_feature_encoder \
|
24 |
--layerdrop="0.1" \
|
25 |
--activation_dropout="0.1" \
|
26 |
--feat_proj_dropout="0.0" \
|
27 |
+
--mask_time_prob="0.7" \
|
28 |
--mask_time_length="10" \
|
29 |
--mask_feature_prob="0.25" \
|
30 |
--mask_feature_length="64" \
|
|
|
35 |
--do_train --do_eval \
|
36 |
--load_best_model_at_end \
|
37 |
--report_to all \
|
38 |
+
--run_name="xlsr-uk-1b-1" \
|
39 |
--wandb_project="xlsr-uk" \
|
40 |
--bnb --tristage_sched
|
run_speech_recognition_ctc.py
CHANGED
@@ -438,7 +438,7 @@ def main():
|
|
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raw_datasets = DatasetDict()
|
439 |
|
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if training_args.do_train:
|
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-
if data_args.dataset_name
|
442 |
raw_datasets["train"] = load_from_disk(f"{data_args.dataset_name}/{data_args.train_split_name}")
|
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else:
|
444 |
raw_datasets["train"] = load_dataset(
|
@@ -466,7 +466,7 @@ def main():
|
|
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raw_datasets["train"] = raw_datasets["train"].select(range(data_args.max_train_samples))
|
467 |
|
468 |
if training_args.do_eval:
|
469 |
-
if data_args.dataset_name
|
470 |
raw_datasets["eval"] = load_from_disk(f"{data_args.dataset_name}/{data_args.eval_split_name}")
|
471 |
else:
|
472 |
raw_datasets["eval"] = load_dataset(
|
@@ -744,7 +744,7 @@ def main():
|
|
744 |
eps=training_args.adam_epsilon,
|
745 |
)
|
746 |
if extra_args.tristage_sched:
|
747 |
-
scheduler = get_tri_stage_schedule(optimizer, training_args.max_steps)
|
748 |
else:
|
749 |
scheduler = None
|
750 |
optimizers = (optimizer, scheduler)
|
|
|
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raw_datasets = DatasetDict()
|
439 |
|
440 |
if training_args.do_train:
|
441 |
+
if os.path.isdir(data_args.dataset_name):
|
442 |
raw_datasets["train"] = load_from_disk(f"{data_args.dataset_name}/{data_args.train_split_name}")
|
443 |
else:
|
444 |
raw_datasets["train"] = load_dataset(
|
|
|
466 |
raw_datasets["train"] = raw_datasets["train"].select(range(data_args.max_train_samples))
|
467 |
|
468 |
if training_args.do_eval:
|
469 |
+
if os.path.isdir(data_args.dataset_name):
|
470 |
raw_datasets["eval"] = load_from_disk(f"{data_args.dataset_name}/{data_args.eval_split_name}")
|
471 |
else:
|
472 |
raw_datasets["eval"] = load_dataset(
|
|
|
744 |
eps=training_args.adam_epsilon,
|
745 |
)
|
746 |
if extra_args.tristage_sched:
|
747 |
+
scheduler = get_tri_stage_schedule(optimizer, training_args.max_steps, ratios=[0.1,0.3,0.6])
|
748 |
else:
|
749 |
scheduler = None
|
750 |
optimizers = (optimizer, scheduler)
|
runs/Feb05_17-03-38_job-680ae191-b2c7-4b97-adaf-cb186b6c96a6/1644080998.635567/events.out.tfevents.1644080998.job-680ae191-b2c7-4b97-adaf-cb186b6c96a6.1687777.1
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special_tokens_map.json
CHANGED
@@ -1 +1 @@
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|
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-
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]", "additional_special_tokens": [{"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}
|
|
|
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+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]", "additional_special_tokens": [{"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}]}
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speech-recognition-community-v2_dev_data_uk_validation_eval_results.txt
ADDED
@@ -0,0 +1,2 @@
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WER: 0.39531368102796677
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train_results.json
CHANGED
@@ -1,8 +1,8 @@
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{
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"epoch":
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"train_loss":
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trainer_state.json
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