Hugging Face's logo

cantillation
/
Teamim-small_WeightDecay-0.05_Combined-Data_date-17-07-2024_10-08

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Hebrew
whisper
hf-asr-leaderboard
Generated from Trainer
Model card Files
xet
Metrics Community
cantillation commited on
Commit
cc426f2
·
verified ·
1 Parent(s): 68710a0

Model save

Browse files
Files changed (4) hide show
  1. README.md +112 -0
  2. generation_config.json +264 -0
  3. model.safetensors +1 -1
  4. runs/Jul17_10-15-32_ae14fc9bd3a5/events.out.tfevents.1721211333.ae14fc9bd3a5.1.0 +2 -2
README.md ADDED
@@ -0,0 +1,112 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: openai/whisper-small
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - wer
8
+ model-index:
9
+ - name: Teamim-small_WeightDecay-0.05_Combined-Data_date-17-07-2024_10-08
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # Teamim-small_WeightDecay-0.05_Combined-Data_date-17-07-2024_10-08
17
+
18
+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.1496
21
+ - Wer: 9.8776
22
+ - Avg Precision Exact: 0.9087
23
+ - Avg Recall Exact: 0.9107
24
+ - Avg F1 Exact: 0.9093
25
+ - Avg Precision Letter Shift: 0.9225
26
+ - Avg Recall Letter Shift: 0.9246
27
+ - Avg F1 Letter Shift: 0.9232
28
+ - Avg Precision Word Level: 0.9249
29
+ - Avg Recall Word Level: 0.9267
30
+ - Avg F1 Word Level: 0.9254
31
+ - Avg Precision Word Shift: 0.9697
32
+ - Avg Recall Word Shift: 0.9724
33
+ - Avg F1 Word Shift: 0.9706
34
+ - Precision Median Exact: 1.0
35
+ - Recall Median Exact: 1.0
36
+ - F1 Median Exact: 1.0
37
+ - Precision Max Exact: 1.0
38
+ - Recall Max Exact: 1.0
39
+ - F1 Max Exact: 1.0
40
+ - Precision Min Exact: 0.0
41
+ - Recall Min Exact: 0.0
42
+ - F1 Min Exact: 0.0
43
+ - Precision Min Letter Shift: 0.0
44
+ - Recall Min Letter Shift: 0.0
45
+ - F1 Min Letter Shift: 0.0
46
+ - Precision Min Word Level: 0.0
47
+ - Recall Min Word Level: 0.0
48
+ - F1 Min Word Level: 0.0
49
+ - Precision Min Word Shift: 0.1429
50
+ - Recall Min Word Shift: 0.1
51
+ - F1 Min Word Shift: 0.1176
52
+
53
+ ## Model description
54
+
55
+ More information needed
56
+
57
+ ## Intended uses & limitations
58
+
59
+ More information needed
60
+
61
+ ## Training and evaluation data
62
+
63
+ More information needed
64
+
65
+ ## Training procedure
66
+
67
+ ### Training hyperparameters
68
+
69
+ The following hyperparameters were used during training:
70
+ - learning_rate: 1e-05
71
+ - train_batch_size: 8
72
+ - eval_batch_size: 32
73
+ - seed: 42
74
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
75
+ - lr_scheduler_type: linear
76
+ - lr_scheduler_warmup_steps: 500
77
+ - training_steps: 200000
78
+ - mixed_precision_training: Native AMP
79
+
80
+ ### Training results
81
+
82
+ | Training Loss | Epoch | Step | Validation Loss | Wer | Avg Precision Exact | Avg Recall Exact | Avg F1 Exact | Avg Precision Letter Shift | Avg Recall Letter Shift | Avg F1 Letter Shift | Avg Precision Word Level | Avg Recall Word Level | Avg F1 Word Level | Avg Precision Word Shift | Avg Recall Word Shift | Avg F1 Word Shift | Precision Median Exact | Recall Median Exact | F1 Median Exact | Precision Max Exact | Recall Max Exact | F1 Max Exact | Precision Min Exact | Recall Min Exact | F1 Min Exact | Precision Min Letter Shift | Recall Min Letter Shift | F1 Min Letter Shift | Precision Min Word Level | Recall Min Word Level | F1 Min Word Level | Precision Min Word Shift | Recall Min Word Shift | F1 Min Word Shift |
83
+ |:-------------:|:-------:|:------:|:---------------:|:--------:|:-------------------:|:----------------:|:------------:|:--------------------------:|:-----------------------:|:-------------------:|:------------------------:|:---------------------:|:-----------------:|:------------------------:|:---------------------:|:-----------------:|:----------------------:|:-------------------:|:---------------:|:-------------------:|:----------------:|:------------:|:-------------------:|:----------------:|:------------:|:--------------------------:|:-----------------------:|:-------------------:|:------------------------:|:---------------------:|:-----------------:|:------------------------:|:---------------------:|:-----------------:|
84
+ | No log | 0.0001 | 1 | 7.3549 | 108.0965 | 0.0006 | 0.0037 | 0.0009 | 0.0204 | 0.0217 | 0.0204 | 0.0078 | 0.0760 | 0.0140 | 0.1364 | 0.1552 | 0.1388 | 0.0 | 0.0 | 0.0 | 0.2 | 1.0 | 0.3077 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
85
+ | 0.0527 | 0.5167 | 10000 | 0.1247 | 17.8011 | 0.8390 | 0.8441 | 0.8410 | 0.8596 | 0.8648 | 0.8616 | 0.8632 | 0.8682 | 0.8651 | 0.9344 | 0.9409 | 0.9369 | 0.9167 | 0.9167 | 0.9167 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0769 | 0.0667 | 0.0714 |
86
+ | 0.0181 | 1.0334 | 20000 | 0.1178 | 14.7550 | 0.8697 | 0.8697 | 0.8690 | 0.8884 | 0.8887 | 0.8878 | 0.8911 | 0.8918 | 0.8907 | 0.9502 | 0.9517 | 0.9501 | 0.9333 | 0.9333 | 0.9474 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
87
+ | 0.0121 | 1.5501 | 30000 | 0.1202 | 13.1219 | 0.8866 | 0.8899 | 0.8878 | 0.9039 | 0.9074 | 0.9052 | 0.9067 | 0.9103 | 0.9080 | 0.9551 | 0.9595 | 0.9568 | 1.0 | 1.0 | 0.9630 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.125 | 0.1333 |
88
+ | 0.0041 | 2.0668 | 40000 | 0.1301 | 12.2219 | 0.8897 | 0.8925 | 0.8907 | 0.9058 | 0.9087 | 0.9068 | 0.9089 | 0.9114 | 0.9097 | 0.9579 | 0.9612 | 0.9591 | 1.0 | 1.0 | 0.9655 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.125 | 0.1 | 0.1176 |
89
+ | 0.0053 | 2.5834 | 50000 | 0.1294 | 12.3635 | 0.8863 | 0.8873 | 0.8864 | 0.9030 | 0.9042 | 0.9031 | 0.9055 | 0.9068 | 0.9057 | 0.9594 | 0.9623 | 0.9603 | 1.0 | 1.0 | 0.9630 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0909 | 0.1 | 0.0952 |
90
+ | 0.01 | 3.1001 | 60000 | 0.1385 | 12.5586 | 0.8824 | 0.8860 | 0.8838 | 0.8984 | 0.9023 | 0.8999 | 0.9010 | 0.9049 | 0.9025 | 0.9557 | 0.9609 | 0.9578 | 1.0 | 1.0 | 0.9630 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1 | 0.1176 |
91
+ | 0.0037 | 3.6168 | 70000 | 0.1374 | 12.4076 | 0.8905 | 0.8936 | 0.8916 | 0.9062 | 0.9093 | 0.9073 | 0.9085 | 0.9115 | 0.9095 | 0.9561 | 0.9598 | 0.9574 | 1.0 | 1.0 | 0.9630 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1111 | 0.125 |
92
+ | 0.0031 | 4.1335 | 80000 | 0.1370 | 11.7562 | 0.8959 | 0.8971 | 0.8961 | 0.9115 | 0.9128 | 0.9117 | 0.9137 | 0.9150 | 0.9139 | 0.9610 | 0.9639 | 0.9620 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
93
+ | 0.0012 | 4.6502 | 90000 | 0.1371 | 11.4573 | 0.8972 | 0.8963 | 0.8964 | 0.9126 | 0.9119 | 0.9118 | 0.9150 | 0.9146 | 0.9144 | 0.9655 | 0.9665 | 0.9655 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1 | 0.1176 |
94
+ | 0.0021 | 5.1669 | 100000 | 0.1448 | 11.6492 | 0.8926 | 0.8952 | 0.8935 | 0.9075 | 0.9103 | 0.9085 | 0.9102 | 0.9128 | 0.9111 | 0.9601 | 0.9637 | 0.9614 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | 0.1053 |
95
+ | 0.0013 | 5.6836 | 110000 | 0.1440 | 11.0199 | 0.9003 | 0.9033 | 0.9014 | 0.9156 | 0.9188 | 0.9168 | 0.9179 | 0.9211 | 0.9191 | 0.9645 | 0.9685 | 0.9660 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1 | 0.1176 |
96
+ | 0.0004 | 6.2003 | 120000 | 0.1427 | 10.7901 | 0.9033 | 0.9043 | 0.9035 | 0.9183 | 0.9194 | 0.9185 | 0.9205 | 0.9215 | 0.9206 | 0.9667 | 0.9686 | 0.9672 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1 | 0.1176 |
97
+ | 0.0005 | 6.7170 | 130000 | 0.1434 | 10.7178 | 0.9012 | 0.9039 | 0.9021 | 0.9161 | 0.9189 | 0.9171 | 0.9185 | 0.9212 | 0.9194 | 0.9648 | 0.9684 | 0.9662 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1111 | 0.125 |
98
+ | 0.0006 | 7.2336 | 140000 | 0.1452 | 10.7776 | 0.9014 | 0.9041 | 0.9023 | 0.9162 | 0.9190 | 0.9172 | 0.9187 | 0.9211 | 0.9195 | 0.9661 | 0.9699 | 0.9676 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1111 | 0.125 |
99
+ | 0.0005 | 7.7503 | 150000 | 0.1471 | 10.6297 | 0.9037 | 0.9039 | 0.9034 | 0.9177 | 0.9180 | 0.9175 | 0.9198 | 0.9199 | 0.9195 | 0.9656 | 0.9673 | 0.9660 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1 | 0.1176 |
100
+ | 0.0001 | 8.2670 | 160000 | 0.1484 | 10.3905 | 0.9035 | 0.9068 | 0.9048 | 0.9177 | 0.9212 | 0.9191 | 0.9200 | 0.9231 | 0.9212 | 0.9667 | 0.9703 | 0.9680 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1 | 0.1176 |
101
+ | 0.0019 | 8.7837 | 170000 | 0.1468 | 10.1136 | 0.9078 | 0.9099 | 0.9085 | 0.9220 | 0.9242 | 0.9227 | 0.9244 | 0.9262 | 0.9249 | 0.9679 | 0.9704 | 0.9687 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1 | 0.1176 |
102
+ | 0.0 | 9.3004 | 180000 | 0.1495 | 10.1167 | 0.9051 | 0.9073 | 0.9058 | 0.9194 | 0.9217 | 0.9202 | 0.9219 | 0.9241 | 0.9226 | 0.9681 | 0.9709 | 0.9691 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1 | 0.1176 |
103
+ | 0.0 | 9.8171 | 190000 | 0.1497 | 10.0412 | 0.9078 | 0.9104 | 0.9087 | 0.9218 | 0.9245 | 0.9227 | 0.9243 | 0.9266 | 0.9251 | 0.9680 | 0.9713 | 0.9692 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1 | 0.1176 |
104
+ | 0.0 | 10.3338 | 200000 | 0.1496 | 9.8776 | 0.9087 | 0.9107 | 0.9093 | 0.9225 | 0.9246 | 0.9232 | 0.9249 | 0.9267 | 0.9254 | 0.9697 | 0.9724 | 0.9706 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1429 | 0.1 | 0.1176 |
105
+
106
+
107
+ ### Framework versions
108
+
109
+ - Transformers 4.41.2
110
+ - Pytorch 2.2.1
111
+ - Datasets 2.20.0
112
+ - Tokenizers 0.19.1
generation_config.json ADDED
@@ -0,0 +1,264 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alignment_heads": [
3
+ [
4
+ 5,
5
+ 3
6
+ ],
7
+ [
8
+ 5,
9
+ 9
10
+ ],
11
+ [
12
+ 8,
13
+ 0
14
+ ],
15
+ [
16
+ 8,
17
+ 4
18
+ ],
19
+ [
20
+ 8,
21
+ 7
22
+ ],
23
+ [
24
+ 8,
25
+ 8
26
+ ],
27
+ [
28
+ 9,
29
+ 0
30
+ ],
31
+ [
32
+ 9,
33
+ 7
34
+ ],
35
+ [
36
+ 9,
37
+ 9
38
+ ],
39
+ [
40
+ 10,
41
+ 5
42
+ ]
43
+ ],
44
+ "begin_suppress_tokens": [
45
+ 220,
46
+ 50257
47
+ ],
48
+ "bos_token_id": 50257,
49
+ "decoder_start_token_id": 50258,
50
+ "eos_token_id": 50257,
51
+ "forced_decoder_ids": [
52
+ [
53
+ 1,
54
+ null
55
+ ],
56
+ [
57
+ 2,
58
+ 50359
59
+ ]
60
+ ],
61
+ "is_multilingual": true,
62
+ "lang_to_id": {
63
+ "<|af|>": 50327,
64
+ "<|am|>": 50334,
65
+ "<|ar|>": 50272,
66
+ "<|as|>": 50350,
67
+ "<|az|>": 50304,
68
+ "<|ba|>": 50355,
69
+ "<|be|>": 50330,
70
+ "<|bg|>": 50292,
71
+ "<|bn|>": 50302,
72
+ "<|bo|>": 50347,
73
+ "<|br|>": 50309,
74
+ "<|bs|>": 50315,
75
+ "<|ca|>": 50270,
76
+ "<|cs|>": 50283,
77
+ "<|cy|>": 50297,
78
+ "<|da|>": 50285,
79
+ "<|de|>": 50261,
80
+ "<|el|>": 50281,
81
+ "<|en|>": 50259,
82
+ "<|es|>": 50262,
83
+ "<|et|>": 50307,
84
+ "<|eu|>": 50310,
85
+ "<|fa|>": 50300,
86
+ "<|fi|>": 50277,
87
+ "<|fo|>": 50338,
88
+ "<|fr|>": 50265,
89
+ "<|gl|>": 50319,
90
+ "<|gu|>": 50333,
91
+ "<|haw|>": 50352,
92
+ "<|ha|>": 50354,
93
+ "<|he|>": 50279,
94
+ "<|hi|>": 50276,
95
+ "<|hr|>": 50291,
96
+ "<|ht|>": 50339,
97
+ "<|hu|>": 50286,
98
+ "<|hy|>": 50312,
99
+ "<|id|>": 50275,
100
+ "<|is|>": 50311,
101
+ "<|it|>": 50274,
102
+ "<|ja|>": 50266,
103
+ "<|jw|>": 50356,
104
+ "<|ka|>": 50329,
105
+ "<|kk|>": 50316,
106
+ "<|km|>": 50323,
107
+ "<|kn|>": 50306,
108
+ "<|ko|>": 50264,
109
+ "<|la|>": 50294,
110
+ "<|lb|>": 50345,
111
+ "<|ln|>": 50353,
112
+ "<|lo|>": 50336,
113
+ "<|lt|>": 50293,
114
+ "<|lv|>": 50301,
115
+ "<|mg|>": 50349,
116
+ "<|mi|>": 50295,
117
+ "<|mk|>": 50308,
118
+ "<|ml|>": 50296,
119
+ "<|mn|>": 50314,
120
+ "<|mr|>": 50320,
121
+ "<|ms|>": 50282,
122
+ "<|mt|>": 50343,
123
+ "<|my|>": 50346,
124
+ "<|ne|>": 50313,
125
+ "<|nl|>": 50271,
126
+ "<|nn|>": 50342,
127
+ "<|no|>": 50288,
128
+ "<|oc|>": 50328,
129
+ "<|pa|>": 50321,
130
+ "<|pl|>": 50269,
131
+ "<|ps|>": 50340,
132
+ "<|pt|>": 50267,
133
+ "<|ro|>": 50284,
134
+ "<|ru|>": 50263,
135
+ "<|sa|>": 50344,
136
+ "<|sd|>": 50332,
137
+ "<|si|>": 50322,
138
+ "<|sk|>": 50298,
139
+ "<|sl|>": 50305,
140
+ "<|sn|>": 50324,
141
+ "<|so|>": 50326,
142
+ "<|sq|>": 50317,
143
+ "<|sr|>": 50303,
144
+ "<|su|>": 50357,
145
+ "<|sv|>": 50273,
146
+ "<|sw|>": 50318,
147
+ "<|ta|>": 50287,
148
+ "<|te|>": 50299,
149
+ "<|tg|>": 50331,
150
+ "<|th|>": 50289,
151
+ "<|tk|>": 50341,
152
+ "<|tl|>": 50348,
153
+ "<|tr|>": 50268,
154
+ "<|tt|>": 50351,
155
+ "<|uk|>": 50280,
156
+ "<|ur|>": 50290,
157
+ "<|uz|>": 50337,
158
+ "<|vi|>": 50278,
159
+ "<|yi|>": 50335,
160
+ "<|yo|>": 50325,
161
+ "<|zh|>": 50260
162
+ },
163
+ "max_initial_timestamp_index": 50,
164
+ "max_length": 448,
165
+ "no_timestamps_token_id": 50363,
166
+ "pad_token_id": 50257,
167
+ "prev_sot_token_id": 50361,
168
+ "return_timestamps": false,
169
+ "suppress_tokens": [
170
+ 1,
171
+ 2,
172
+ 7,
173
+ 8,
174
+ 9,
175
+ 10,
176
+ 14,
177
+ 25,
178
+ 26,
179
+ 27,
180
+ 28,
181
+ 29,
182
+ 31,
183
+ 58,
184
+ 59,
185
+ 60,
186
+ 61,
187
+ 62,
188
+ 63,
189
+ 90,
190
+ 91,
191
+ 92,
192
+ 93,
193
+ 359,
194
+ 503,
195
+ 522,
196
+ 542,
197
+ 873,
198
+ 893,
199
+ 902,
200
+ 918,
201
+ 922,
202
+ 931,
203
+ 1350,
204
+ 1853,
205
+ 1982,
206
+ 2460,
207
+ 2627,
208
+ 3246,
209
+ 3253,
210
+ 3268,
211
+ 3536,
212
+ 3846,
213
+ 3961,
214
+ 4183,
215
+ 4667,
216
+ 6585,
217
+ 6647,
218
+ 7273,
219
+ 9061,
220
+ 9383,
221
+ 10428,
222
+ 10929,
223
+ 11938,
224
+ 12033,
225
+ 12331,
226
+ 12562,
227
+ 13793,
228
+ 14157,
229
+ 14635,
230
+ 15265,
231
+ 15618,
232
+ 16553,
233
+ 16604,
234
+ 18362,
235
+ 18956,
236
+ 20075,
237
+ 21675,
238
+ 22520,
239
+ 26130,
240
+ 26161,
241
+ 26435,
242
+ 28279,
243
+ 29464,
244
+ 31650,
245
+ 32302,
246
+ 32470,
247
+ 36865,
248
+ 42863,
249
+ 47425,
250
+ 49870,
251
+ 50254,
252
+ 50258,
253
+ 50358,
254
+ 50359,
255
+ 50360,
256
+ 50361,
257
+ 50362
258
+ ],
259
+ "task_to_id": {
260
+ "transcribe": 50359,
261
+ "translate": 50358
262
+ },
263
+ "transformers_version": "4.41.2"
264
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9a654b38e55872bc3b49c43acf70025049e95133e249388ac75674cb6b60efe7
3
  size 967090312
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:16b14a54d4da6e31244896bd93f98c20853ccac0b7331cef0134d1bf1ec14d13
3
  size 967090312
runs/Jul17_10-15-32_ae14fc9bd3a5/events.out.tfevents.1721211333.ae14fc9bd3a5.1.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f3580b95980726ef77a2d6cd88d7a33e8fd9833cc1d34ea620dba3c7a84b59e5
3
- size 1594854
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:840a68dfbc943591972345e540c0e990ba66021a19a3b6d2dbbf7aa2a704ec3a
3
+ size 1771724