diallomama commited on
Commit
f43dd0c
1 Parent(s): 2922451

add config files

Browse files
config.json ADDED
@@ -0,0 +1,109 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/wav2vec2-large-lv60",
3
+ "activation_dropout": 0.1,
4
+ "adapter_kernel_size": 3,
5
+ "adapter_stride": 2,
6
+ "add_adapter": false,
7
+ "apply_spec_augment": true,
8
+ "architectures": [
9
+ "Wav2Vec2ForCTC"
10
+ ],
11
+ "attention_dropout": 0.1,
12
+ "bos_token_id": 1,
13
+ "classifier_proj_size": 256,
14
+ "codevector_dim": 768,
15
+ "contrastive_logits_temperature": 0.1,
16
+ "conv_bias": true,
17
+ "conv_dim": [
18
+ 512,
19
+ 512,
20
+ 512,
21
+ 512,
22
+ 512,
23
+ 512,
24
+ 512
25
+ ],
26
+ "conv_kernel": [
27
+ 10,
28
+ 3,
29
+ 3,
30
+ 3,
31
+ 3,
32
+ 2,
33
+ 2
34
+ ],
35
+ "conv_stride": [
36
+ 5,
37
+ 2,
38
+ 2,
39
+ 2,
40
+ 2,
41
+ 2,
42
+ 2
43
+ ],
44
+ "ctc_loss_reduction": "mean",
45
+ "ctc_zero_infinity": false,
46
+ "diversity_loss_weight": 0.1,
47
+ "do_stable_layer_norm": true,
48
+ "eos_token_id": 2,
49
+ "feat_extract_activation": "gelu",
50
+ "feat_extract_dropout": 0.0,
51
+ "feat_extract_norm": "layer",
52
+ "feat_proj_dropout": 0.1,
53
+ "feat_quantizer_dropout": 0.0,
54
+ "final_dropout": 0.1,
55
+ "gradient_checkpointing": false,
56
+ "hidden_act": "gelu",
57
+ "hidden_dropout": 0.1,
58
+ "hidden_dropout_prob": 0.1,
59
+ "hidden_size": 1024,
60
+ "initializer_range": 0.02,
61
+ "intermediate_size": 4096,
62
+ "layer_norm_eps": 1e-05,
63
+ "layerdrop": 0.0,
64
+ "mask_feature_length": 10,
65
+ "mask_feature_min_masks": 0,
66
+ "mask_feature_prob": 0.0,
67
+ "mask_time_length": 10,
68
+ "mask_time_min_masks": 2,
69
+ "mask_time_prob": 0.05,
70
+ "model_type": "wav2vec2",
71
+ "num_adapter_layers": 3,
72
+ "num_attention_heads": 16,
73
+ "num_codevector_groups": 2,
74
+ "num_codevectors_per_group": 320,
75
+ "num_conv_pos_embedding_groups": 16,
76
+ "num_conv_pos_embeddings": 128,
77
+ "num_feat_extract_layers": 7,
78
+ "num_hidden_layers": 24,
79
+ "num_negatives": 100,
80
+ "output_hidden_size": 1024,
81
+ "pad_token_id": 29,
82
+ "proj_codevector_dim": 768,
83
+ "tdnn_dilation": [
84
+ 1,
85
+ 2,
86
+ 3,
87
+ 1,
88
+ 1
89
+ ],
90
+ "tdnn_dim": [
91
+ 512,
92
+ 512,
93
+ 512,
94
+ 512,
95
+ 1500
96
+ ],
97
+ "tdnn_kernel": [
98
+ 5,
99
+ 3,
100
+ 3,
101
+ 1,
102
+ 1
103
+ ],
104
+ "torch_dtype": "float32",
105
+ "transformers_version": "4.24.0",
106
+ "use_weighted_layer_sum": false,
107
+ "vocab_size": 32,
108
+ "xvector_output_dim": 512
109
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_normalize": true,
3
+ "feature_extractor_type": "Wav2Vec2FeatureExtractor",
4
+ "feature_size": 1,
5
+ "padding_side": "right",
6
+ "padding_value": 0.0,
7
+ "return_attention_mask": true,
8
+ "sampling_rate": 16000
9
+ }
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9f6b6a681c875a506e76aae537b7dff4b97c26bd9fee398027f733029d374668
3
+ size 14639
scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:298dad932c21e05d75d3da5a679e913eff6d3ab77165a881afe2baf33c70cdcb
3
+ size 557
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93e09d5c51cc6495794492c0eeece2bdfc76e91c16615ab0b5a5a8ef29dd110b
3
+ size 627
trainer_state.json ADDED
@@ -0,0 +1,226 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 28.11244979919679,
5
+ "global_step": 7000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 2.01,
12
+ "learning_rate": 4.97e-05,
13
+ "loss": 4.8083,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 2.01,
18
+ "eval_loss": 2.9298839569091797,
19
+ "eval_runtime": 72.494,
20
+ "eval_samples_per_second": 23.174,
21
+ "eval_steps_per_second": 2.897,
22
+ "eval_wer": 1.0,
23
+ "step": 500
24
+ },
25
+ {
26
+ "epoch": 4.02,
27
+ "learning_rate": 9.970000000000001e-05,
28
+ "loss": 1.5432,
29
+ "step": 1000
30
+ },
31
+ {
32
+ "epoch": 4.02,
33
+ "eval_loss": 0.3672347962856293,
34
+ "eval_runtime": 72.6811,
35
+ "eval_samples_per_second": 23.115,
36
+ "eval_steps_per_second": 2.889,
37
+ "eval_wer": 0.41520226035421404,
38
+ "step": 1000
39
+ },
40
+ {
41
+ "epoch": 6.02,
42
+ "learning_rate": 9.231839258114375e-05,
43
+ "loss": 0.305,
44
+ "step": 1500
45
+ },
46
+ {
47
+ "epoch": 6.02,
48
+ "eval_loss": 0.2641327381134033,
49
+ "eval_runtime": 74.7155,
50
+ "eval_samples_per_second": 22.485,
51
+ "eval_steps_per_second": 2.811,
52
+ "eval_wer": 0.32127351664254705,
53
+ "step": 1500
54
+ },
55
+ {
56
+ "epoch": 8.03,
57
+ "learning_rate": 8.459041731066461e-05,
58
+ "loss": 0.1614,
59
+ "step": 2000
60
+ },
61
+ {
62
+ "epoch": 8.03,
63
+ "eval_loss": 0.2683059871196747,
64
+ "eval_runtime": 73.5962,
65
+ "eval_samples_per_second": 22.827,
66
+ "eval_steps_per_second": 2.853,
67
+ "eval_wer": 0.2949486596375164,
68
+ "step": 2000
69
+ },
70
+ {
71
+ "epoch": 10.04,
72
+ "learning_rate": 7.686244204018547e-05,
73
+ "loss": 0.1096,
74
+ "step": 2500
75
+ },
76
+ {
77
+ "epoch": 10.04,
78
+ "eval_loss": 0.25842466950416565,
79
+ "eval_runtime": 72.9953,
80
+ "eval_samples_per_second": 23.015,
81
+ "eval_steps_per_second": 2.877,
82
+ "eval_wer": 0.2761353455998897,
83
+ "step": 2500
84
+ },
85
+ {
86
+ "epoch": 12.05,
87
+ "learning_rate": 6.913446676970633e-05,
88
+ "loss": 0.0849,
89
+ "step": 3000
90
+ },
91
+ {
92
+ "epoch": 12.05,
93
+ "eval_loss": 0.2633412778377533,
94
+ "eval_runtime": 73.117,
95
+ "eval_samples_per_second": 22.977,
96
+ "eval_steps_per_second": 2.872,
97
+ "eval_wer": 0.26834814967955345,
98
+ "step": 3000
99
+ },
100
+ {
101
+ "epoch": 14.06,
102
+ "learning_rate": 6.14064914992272e-05,
103
+ "loss": 0.0666,
104
+ "step": 3500
105
+ },
106
+ {
107
+ "epoch": 14.06,
108
+ "eval_loss": 0.2584041357040405,
109
+ "eval_runtime": 72.8822,
110
+ "eval_samples_per_second": 23.051,
111
+ "eval_steps_per_second": 2.881,
112
+ "eval_wer": 0.2597339949004204,
113
+ "step": 3500
114
+ },
115
+ {
116
+ "epoch": 16.06,
117
+ "learning_rate": 5.3678516228748066e-05,
118
+ "loss": 0.0558,
119
+ "step": 4000
120
+ },
121
+ {
122
+ "epoch": 16.06,
123
+ "eval_loss": 0.25760215520858765,
124
+ "eval_runtime": 72.4376,
125
+ "eval_samples_per_second": 23.192,
126
+ "eval_steps_per_second": 2.899,
127
+ "eval_wer": 0.24939700916546068,
128
+ "step": 4000
129
+ },
130
+ {
131
+ "epoch": 18.07,
132
+ "learning_rate": 4.5950540958268935e-05,
133
+ "loss": 0.0455,
134
+ "step": 4500
135
+ },
136
+ {
137
+ "epoch": 18.07,
138
+ "eval_loss": 0.2717011272907257,
139
+ "eval_runtime": 73.3321,
140
+ "eval_samples_per_second": 22.909,
141
+ "eval_steps_per_second": 2.864,
142
+ "eval_wer": 0.2531183240300462,
143
+ "step": 4500
144
+ },
145
+ {
146
+ "epoch": 20.08,
147
+ "learning_rate": 3.8222565687789804e-05,
148
+ "loss": 0.0422,
149
+ "step": 5000
150
+ },
151
+ {
152
+ "epoch": 20.08,
153
+ "eval_loss": 0.29290544986724854,
154
+ "eval_runtime": 74.3543,
155
+ "eval_samples_per_second": 22.595,
156
+ "eval_steps_per_second": 2.824,
157
+ "eval_wer": 0.2513265798359865,
158
+ "step": 5000
159
+ },
160
+ {
161
+ "epoch": 22.09,
162
+ "learning_rate": 3.0494590417310663e-05,
163
+ "loss": 0.0383,
164
+ "step": 5500
165
+ },
166
+ {
167
+ "epoch": 22.09,
168
+ "eval_loss": 0.27808326482772827,
169
+ "eval_runtime": 73.2045,
170
+ "eval_samples_per_second": 22.949,
171
+ "eval_steps_per_second": 2.869,
172
+ "eval_wer": 0.2480187444007994,
173
+ "step": 5500
174
+ },
175
+ {
176
+ "epoch": 24.1,
177
+ "learning_rate": 2.2766615146831533e-05,
178
+ "loss": 0.033,
179
+ "step": 6000
180
+ },
181
+ {
182
+ "epoch": 24.1,
183
+ "eval_loss": 0.2956600785255432,
184
+ "eval_runtime": 73.3873,
185
+ "eval_samples_per_second": 22.892,
186
+ "eval_steps_per_second": 2.862,
187
+ "eval_wer": 0.2503617945007236,
188
+ "step": 6000
189
+ },
190
+ {
191
+ "epoch": 26.1,
192
+ "learning_rate": 1.5038639876352395e-05,
193
+ "loss": 0.0314,
194
+ "step": 6500
195
+ },
196
+ {
197
+ "epoch": 26.1,
198
+ "eval_loss": 0.2865420877933502,
199
+ "eval_runtime": 73.2994,
200
+ "eval_samples_per_second": 22.92,
201
+ "eval_steps_per_second": 2.865,
202
+ "eval_wer": 0.24863896354489698,
203
+ "step": 6500
204
+ },
205
+ {
206
+ "epoch": 28.11,
207
+ "learning_rate": 7.310664605873262e-06,
208
+ "loss": 0.0308,
209
+ "step": 7000
210
+ },
211
+ {
212
+ "epoch": 28.11,
213
+ "eval_loss": 0.29938989877700806,
214
+ "eval_runtime": 73.3049,
215
+ "eval_samples_per_second": 22.918,
216
+ "eval_steps_per_second": 2.865,
217
+ "eval_wer": 0.24732961201846876,
218
+ "step": 7000
219
+ }
220
+ ],
221
+ "max_steps": 7470,
222
+ "num_train_epochs": 30,
223
+ "total_flos": 9.6467224304247e+18,
224
+ "trial_name": null,
225
+ "trial_params": null
226
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9951cfdb87834e9a623000e7c8338bb803c098d7ce35aa85419efee4dcb349c1
3
+ size 3387