Hugging Face's logo

bigmorning
/
whisper_input_decoder_equal_labels_no_force__0060

Automatic Speech Recognition
Transformers
TensorFlow
whisper
generated_from_keras_callback
Inference Endpoints
Model card Files Community
bigmorning commited on
Commit
c174fc0
•
1 Parent(s): cf8c4c5

Upload TFWhisperForConditionalGeneration

Browse files
Files changed (4) hide show
  1. README.md +116 -0
  2. config.json +51 -0
  3. generation_config.json +117 -0
  4. tf_model.h5 +3 -0
README.md ADDED
@@ -0,0 +1,116 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: openai/whisper-tiny
4
+ tags:
5
+ - generated_from_keras_callback
6
+ model-index:
7
+ - name: whisper_input_decoder_equal_labels_no_force__0060
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
12
+ probably proofread and complete it, then remove this comment. -->
13
+
14
+ # whisper_input_decoder_equal_labels_no_force__0060
15
+
16
+ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Train Loss: 0.0000
19
+ - Train Accuracy: 0.0362
20
+ - Train Wermet: 0.0000
21
+ - Validation Loss: 0.0003
22
+ - Validation Accuracy: 0.0266
23
+ - Validation Wermet: 0.0001
24
+ - Epoch: 59
25
+
26
+ ## Model description
27
+
28
+ More information needed
29
+
30
+ ## Intended uses & limitations
31
+
32
+ More information needed
33
+
34
+ ## Training and evaluation data
35
+
36
+ More information needed
37
+
38
+ ## Training procedure
39
+
40
+ ### Training hyperparameters
41
+
42
+ The following hyperparameters were used during training:
43
+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
44
+ - training_precision: float32
45
+
46
+ ### Training results
47
+
48
+ | Train Loss | Train Accuracy | Train Wermet | Validation Loss | Validation Accuracy | Validation Wermet | Epoch |
49
+ |:----------:|:--------------:|:------------:|:---------------:|:-------------------:|:-----------------:|:-----:|
50
+ | 0.7688 | 0.0332 | 32.0424 | 0.0164 | 0.0265 | 57.8712 | 0 |
51
+ | 0.0114 | 0.0362 | 31.1067 | 0.0062 | 0.0266 | 54.8371 | 1 |
52
+ | 0.0048 | 0.0362 | 27.0610 | 0.0030 | 0.0266 | 50.1428 | 2 |
53
+ | 0.0027 | 0.0362 | 24.9672 | 0.0018 | 0.0266 | 48.0741 | 3 |
54
+ | 0.0018 | 0.0362 | 23.1500 | 0.0013 | 0.0266 | 44.9304 | 4 |
55
+ | 0.0013 | 0.0362 | 21.5445 | 0.0010 | 0.0266 | 42.3508 | 5 |
56
+ | 0.0009 | 0.0362 | 20.2775 | 0.0008 | 0.0266 | 40.4061 | 6 |
57
+ | 0.0007 | 0.0362 | 19.5082 | 0.0006 | 0.0266 | 38.2329 | 7 |
58
+ | 0.0005 | 0.0362 | 17.9967 | 0.0005 | 0.0266 | 35.9761 | 8 |
59
+ | 0.0004 | 0.0362 | 16.8461 | 0.0004 | 0.0266 | 34.1220 | 9 |
60
+ | 0.0003 | 0.0362 | 15.8373 | 0.0004 | 0.0266 | 32.0054 | 10 |
61
+ | 0.0003 | 0.0362 | 14.7685 | 0.0004 | 0.0266 | 29.6994 | 11 |
62
+ | 0.0002 | 0.0362 | 13.4142 | 0.0003 | 0.0266 | 27.1796 | 12 |
63
+ | 0.0002 | 0.0362 | 12.4809 | 0.0003 | 0.0266 | 25.3421 | 13 |
64
+ | 0.0002 | 0.0362 | 11.2286 | 0.0003 | 0.0266 | 23.1619 | 14 |
65
+ | 0.0001 | 0.0362 | 10.2408 | 0.0003 | 0.0266 | 21.3348 | 15 |
66
+ | 0.0001 | 0.0362 | 9.5439 | 0.0002 | 0.0266 | 20.1758 | 16 |
67
+ | 0.0001 | 0.0362 | 8.7578 | 0.0002 | 0.0266 | 18.3977 | 17 |
68
+ | 0.0001 | 0.0362 | 7.8698 | 0.0002 | 0.0266 | 16.2156 | 18 |
69
+ | 0.0001 | 0.0362 | 7.0007 | 0.0002 | 0.0266 | 14.7919 | 19 |
70
+ | 0.0001 | 0.0362 | 6.2610 | 0.0002 | 0.0266 | 13.0212 | 20 |
71
+ | 0.0001 | 0.0362 | 5.5103 | 0.0002 | 0.0266 | 11.5619 | 21 |
72
+ | 0.0000 | 0.0362 | 4.9163 | 0.0002 | 0.0266 | 10.4626 | 22 |
73
+ | 0.0000 | 0.0362 | 4.3166 | 0.0002 | 0.0266 | 9.2446 | 23 |
74
+ | 0.0000 | 0.0362 | 3.7524 | 0.0002 | 0.0266 | 7.7431 | 24 |
75
+ | 0.0000 | 0.0362 | 3.2129 | 0.0002 | 0.0266 | 6.6332 | 25 |
76
+ | 0.0000 | 0.0362 | 2.7739 | 0.0002 | 0.0266 | 5.7615 | 26 |
77
+ | 0.0000 | 0.0362 | 2.3764 | 0.0002 | 0.0266 | 4.9058 | 27 |
78
+ | 0.0000 | 0.0362 | 1.9780 | 0.0002 | 0.0266 | 4.0666 | 28 |
79
+ | 0.0000 | 0.0362 | 1.6255 | 0.0002 | 0.0266 | 3.3591 | 29 |
80
+ | 0.0000 | 0.0362 | 1.3291 | 0.0002 | 0.0266 | 2.7223 | 30 |
81
+ | 0.0000 | 0.0362 | 1.1012 | 0.0002 | 0.0266 | 2.1768 | 31 |
82
+ | 0.0000 | 0.0362 | 0.9017 | 0.0002 | 0.0266 | 1.7957 | 32 |
83
+ | 0.0000 | 0.0362 | 0.7347 | 0.0002 | 0.0266 | 1.3240 | 33 |
84
+ | 0.0000 | 0.0362 | 0.5807 | 0.0002 | 0.0266 | 0.9770 | 34 |
85
+ | 0.0000 | 0.0362 | 0.4562 | 0.0002 | 0.0266 | 0.7842 | 35 |
86
+ | 0.0000 | 0.0362 | 0.3738 | 0.0002 | 0.0266 | 0.6098 | 36 |
87
+ | 0.0000 | 0.0362 | 0.2925 | 0.0002 | 0.0266 | 0.4481 | 37 |
88
+ | 0.0000 | 0.0362 | 0.2142 | 0.0002 | 0.0266 | 0.3331 | 38 |
89
+ | 0.0000 | 0.0362 | 0.1491 | 0.0002 | 0.0266 | 0.2229 | 39 |
90
+ | 0.0000 | 0.0362 | 0.0935 | 0.0002 | 0.0266 | 0.1604 | 40 |
91
+ | 0.0000 | 0.0362 | 0.0588 | 0.0002 | 0.0266 | 0.1018 | 41 |
92
+ | 0.0000 | 0.0362 | 0.0421 | 0.0002 | 0.0266 | 0.0653 | 42 |
93
+ | 0.0000 | 0.0362 | 0.0284 | 0.0002 | 0.0266 | 0.0364 | 43 |
94
+ | 0.0000 | 0.0362 | 0.0172 | 0.0002 | 0.0266 | 0.0210 | 44 |
95
+ | 0.0000 | 0.0362 | 0.0048 | 0.0002 | 0.0266 | 0.0105 | 45 |
96
+ | 0.0000 | 0.0362 | 0.0006 | 0.0002 | 0.0266 | 0.0031 | 46 |
97
+ | 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0004 | 47 |
98
+ | 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 48 |
99
+ | 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 49 |
100
+ | 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 50 |
101
+ | 0.0000 | 0.0362 | 0.0000 | 0.0002 | 0.0266 | 0.0001 | 51 |
102
+ | 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 52 |
103
+ | 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 53 |
104
+ | 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 54 |
105
+ | 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 55 |
106
+ | 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 56 |
107
+ | 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 57 |
108
+ | 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 58 |
109
+ | 0.0000 | 0.0362 | 0.0000 | 0.0003 | 0.0266 | 0.0001 | 59 |
110
+
111
+
112
+ ### Framework versions
113
+
114
+ - Transformers 4.33.0.dev0
115
+ - TensorFlow 2.13.0
116
+ - Tokenizers 0.13.3
config.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "openai/whisper-tiny",
3
+ "activation_dropout": 0.0,
4
+ "activation_function": "gelu",
5
+ "apply_spec_augment": false,
6
+ "architectures": [
7
+ "WhisperForConditionalGeneration"
8
+ ],
9
+ "attention_dropout": 0.0,
10
+ "begin_suppress_tokens": [
11
+ 50257
12
+ ],
13
+ "bos_token_id": 50257,
14
+ "classifier_proj_size": 256,
15
+ "d_model": 384,
16
+ "decoder_attention_heads": 6,
17
+ "decoder_ffn_dim": 1536,
18
+ "decoder_layerdrop": 0.0,
19
+ "decoder_layers": 4,
20
+ "decoder_start_token_id": 50258,
21
+ "dropout": 0.0,
22
+ "encoder_attention_heads": 6,
23
+ "encoder_ffn_dim": 1536,
24
+ "encoder_layerdrop": 0.0,
25
+ "encoder_layers": 4,
26
+ "eos_token_id": 50257,
27
+ "forced_decoder_ids": [],
28
+ "init_std": 0.02,
29
+ "is_encoder_decoder": true,
30
+ "mask_feature_length": 10,
31
+ "mask_feature_min_masks": 0,
32
+ "mask_feature_prob": 0.0,
33
+ "mask_time_length": 10,
34
+ "mask_time_min_masks": 2,
35
+ "mask_time_prob": 0.05,
36
+ "max_length": 448,
37
+ "max_source_positions": 1500,
38
+ "max_target_positions": 448,
39
+ "median_filter_width": 7,
40
+ "model_type": "whisper",
41
+ "num_hidden_layers": 4,
42
+ "num_mel_bins": 80,
43
+ "pad_token_id": 50257,
44
+ "scale_embedding": false,
45
+ "suppress_tokens": [],
46
+ "torch_dtype": "float32",
47
+ "transformers_version": "4.33.0.dev0",
48
+ "use_cache": true,
49
+ "use_weighted_layer_sum": false,
50
+ "vocab_size": 51865
51
+ }
generation_config.json ADDED
@@ -0,0 +1,117 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "begin_suppress_tokens": [
4
+ 220,
5
+ 50257
6
+ ],
7
+ "bos_token_id": 50257,
8
+ "decoder_start_token_id": 50258,
9
+ "eos_token_id": 50257,
10
+ "forced_decoder_ids": [
11
+ [
12
+ 1,
13
+ 50259
14
+ ],
15
+ [
16
+ 2,
17
+ 50359
18
+ ],
19
+ [
20
+ 3,
21
+ 50363
22
+ ]
23
+ ],
24
+ "max_length": 448,
25
+ "pad_token_id": 50257,
26
+ "suppress_tokens": [
27
+ 1,
28
+ 2,
29
+ 7,
30
+ 8,
31
+ 9,
32
+ 10,
33
+ 14,
34
+ 25,
35
+ 26,
36
+ 27,
37
+ 28,
38
+ 29,
39
+ 31,
40
+ 58,
41
+ 59,
42
+ 60,
43
+ 61,
44
+ 62,
45
+ 63,
46
+ 90,
47
+ 91,
48
+ 92,
49
+ 93,
50
+ 359,
51
+ 503,
52
+ 522,
53
+ 542,
54
+ 873,
55
+ 893,
56
+ 902,
57
+ 918,
58
+ 922,
59
+ 931,
60
+ 1350,
61
+ 1853,
62
+ 1982,
63
+ 2460,
64
+ 2627,
65
+ 3246,
66
+ 3253,
67
+ 3268,
68
+ 3536,
69
+ 3846,
70
+ 3961,
71
+ 4183,
72
+ 4667,
73
+ 6585,
74
+ 6647,
75
+ 7273,
76
+ 9061,
77
+ 9383,
78
+ 10428,
79
+ 10929,
80
+ 11938,
81
+ 12033,
82
+ 12331,
83
+ 12562,
84
+ 13793,
85
+ 14157,
86
+ 14635,
87
+ 15265,
88
+ 15618,
89
+ 16553,
90
+ 16604,
91
+ 18362,
92
+ 18956,
93
+ 20075,
94
+ 21675,
95
+ 22520,
96
+ 26130,
97
+ 26161,
98
+ 26435,
99
+ 28279,
100
+ 29464,
101
+ 31650,
102
+ 32302,
103
+ 32470,
104
+ 36865,
105
+ 42863,
106
+ 47425,
107
+ 49870,
108
+ 50254,
109
+ 50258,
110
+ 50358,
111
+ 50359,
112
+ 50360,
113
+ 50361,
114
+ 50362
115
+ ],
116
+ "transformers_version": "4.33.0.dev0"
117
+ }
tf_model.h5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dbd8705d475308ddce9f216da178895385e6f7d285ad908629d9877db53e4f35
3
+ size 151253960