newknp commited on
Commit
c2f0a88
·
1 Parent(s): 865eabb

Training in progress, step 6000

Browse files
checkpoint-6000/config.json ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "facebook/wav2vec2-xls-r-300m",
3
+ "activation_dropout": 0.0,
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": 0.0,
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": 0.0,
53
+ "feat_quantizer_dropout": 0.0,
54
+ "final_dropout": 0.0,
55
+ "gradient_checkpointing": false,
56
+ "hidden_act": "gelu",
57
+ "hidden_dropout": 0.0,
58
+ "hidden_size": 1024,
59
+ "initializer_range": 0.02,
60
+ "intermediate_size": 4096,
61
+ "layer_norm_eps": 1e-05,
62
+ "layerdrop": 0.0,
63
+ "mask_feature_length": 10,
64
+ "mask_feature_min_masks": 0,
65
+ "mask_feature_prob": 0.0,
66
+ "mask_time_length": 10,
67
+ "mask_time_min_masks": 2,
68
+ "mask_time_prob": 0.05,
69
+ "model_type": "wav2vec2",
70
+ "num_adapter_layers": 3,
71
+ "num_attention_heads": 16,
72
+ "num_codevector_groups": 2,
73
+ "num_codevectors_per_group": 320,
74
+ "num_conv_pos_embedding_groups": 16,
75
+ "num_conv_pos_embeddings": 128,
76
+ "num_feat_extract_layers": 7,
77
+ "num_hidden_layers": 24,
78
+ "num_negatives": 100,
79
+ "output_hidden_size": 1024,
80
+ "pad_token_id": 66,
81
+ "proj_codevector_dim": 768,
82
+ "tdnn_dilation": [
83
+ 1,
84
+ 2,
85
+ 3,
86
+ 1,
87
+ 1
88
+ ],
89
+ "tdnn_dim": [
90
+ 512,
91
+ 512,
92
+ 512,
93
+ 512,
94
+ 1500
95
+ ],
96
+ "tdnn_kernel": [
97
+ 5,
98
+ 3,
99
+ 3,
100
+ 1,
101
+ 1
102
+ ],
103
+ "torch_dtype": "float32",
104
+ "transformers_version": "4.27.0.dev0",
105
+ "use_weighted_layer_sum": false,
106
+ "vocab_size": 69,
107
+ "xvector_output_dim": 512
108
+ }
checkpoint-6000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9854513ca2f937d62edb3129ca262b60c0bd69d59ef5fdb47cea56edff008783
3
+ size 2490626757
checkpoint-6000/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
+ }
checkpoint-6000/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:541358b2fa319c9c10f8443871b95f60cc8c3afe880cdd709ae59e71dcc80f30
3
+ size 1262184749
checkpoint-6000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1be481700b4199d1107f8f5d1118d7d86f19215e66050fc6462dd2aeed73ef1b
3
+ size 14639
checkpoint-6000/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4815c0113fb86224ae5b06524804c2bfd8a3631496439d4ea4dc668526f70d20
3
+ size 557
checkpoint-6000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c0d1a021b91e8269bc23726c7f9f1acb662e925718e58b10c83cea52f32f8eb
3
+ size 627
checkpoint-6000/trainer_state.json ADDED
@@ -0,0 +1,238 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.8192771084337345,
5
+ "global_step": 6000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 0.0,
13
+ "loss": 36.5036,
14
+ "step": 1
15
+ },
16
+ {
17
+ "epoch": 0.4,
18
+ "learning_rate": 4.96e-05,
19
+ "loss": 8.5484,
20
+ "step": 500
21
+ },
22
+ {
23
+ "epoch": 0.4,
24
+ "eval_cer": 1.0,
25
+ "eval_clean_cer": 1.0,
26
+ "eval_loss": 3.6234467029571533,
27
+ "eval_runtime": 384.6662,
28
+ "eval_samples_per_second": 19.9,
29
+ "eval_steps_per_second": 1.245,
30
+ "eval_wer": 1.0,
31
+ "learning_rate": 4.96e-05,
32
+ "step": 500
33
+ },
34
+ {
35
+ "epoch": 0.8,
36
+ "learning_rate": 4.792887029288703e-05,
37
+ "loss": 3.2275,
38
+ "step": 1000
39
+ },
40
+ {
41
+ "epoch": 0.8,
42
+ "eval_cer": 0.7080718890168877,
43
+ "eval_clean_cer": 0.653960461430081,
44
+ "eval_loss": 2.2960469722747803,
45
+ "eval_runtime": 383.0083,
46
+ "eval_samples_per_second": 19.987,
47
+ "eval_steps_per_second": 1.251,
48
+ "eval_wer": 0.9997886281969985,
49
+ "learning_rate": 4.792887029288703e-05,
50
+ "step": 1000
51
+ },
52
+ {
53
+ "epoch": 1.2,
54
+ "learning_rate": 4.5841004184100424e-05,
55
+ "loss": 0.9955,
56
+ "step": 1500
57
+ },
58
+ {
59
+ "epoch": 1.2,
60
+ "eval_cer": 0.43273425819260275,
61
+ "eval_clean_cer": 0.37557605377480335,
62
+ "eval_loss": 1.2224403619766235,
63
+ "eval_runtime": 382.1035,
64
+ "eval_samples_per_second": 20.034,
65
+ "eval_steps_per_second": 1.254,
66
+ "eval_wer": 0.9549127684828382,
67
+ "learning_rate": 4.5841004184100424e-05,
68
+ "step": 1500
69
+ },
70
+ {
71
+ "epoch": 1.61,
72
+ "learning_rate": 4.37489539748954e-05,
73
+ "loss": 0.66,
74
+ "step": 2000
75
+ },
76
+ {
77
+ "epoch": 1.61,
78
+ "eval_cer": 0.36509166891345374,
79
+ "eval_clean_cer": 0.304027973464835,
80
+ "eval_loss": 0.9558963775634766,
81
+ "eval_runtime": 380.573,
82
+ "eval_samples_per_second": 20.114,
83
+ "eval_steps_per_second": 1.259,
84
+ "eval_wer": 0.9231907386631546,
85
+ "learning_rate": 4.37489539748954e-05,
86
+ "step": 2000
87
+ },
88
+ {
89
+ "epoch": 2.01,
90
+ "learning_rate": 4.1665271966527195e-05,
91
+ "loss": 0.546,
92
+ "step": 2500
93
+ },
94
+ {
95
+ "epoch": 2.01,
96
+ "eval_cer": 0.3585320718645065,
97
+ "eval_clean_cer": 0.2825745567688153,
98
+ "eval_loss": 0.920676589012146,
99
+ "eval_runtime": 379.317,
100
+ "eval_samples_per_second": 20.181,
101
+ "eval_steps_per_second": 1.263,
102
+ "eval_wer": 0.948051314570021,
103
+ "learning_rate": 4.1665271966527195e-05,
104
+ "step": 2500
105
+ },
106
+ {
107
+ "epoch": 2.41,
108
+ "learning_rate": 3.957740585774059e-05,
109
+ "loss": 0.4459,
110
+ "step": 3000
111
+ },
112
+ {
113
+ "epoch": 2.41,
114
+ "eval_cer": 0.29398698497512193,
115
+ "eval_clean_cer": 0.23832115181401903,
116
+ "eval_loss": 0.7700594067573547,
117
+ "eval_runtime": 382.0036,
118
+ "eval_samples_per_second": 20.039,
119
+ "eval_steps_per_second": 1.254,
120
+ "eval_wer": 0.869307188267239,
121
+ "learning_rate": 3.957740585774059e-05,
122
+ "step": 3000
123
+ },
124
+ {
125
+ "epoch": 2.81,
126
+ "learning_rate": 3.748953974895398e-05,
127
+ "loss": 0.4041,
128
+ "step": 3500
129
+ },
130
+ {
131
+ "epoch": 2.81,
132
+ "eval_cer": 0.2948846785460428,
133
+ "eval_clean_cer": 0.26338499471644944,
134
+ "eval_loss": 0.7755610346794128,
135
+ "eval_runtime": 382.5716,
136
+ "eval_samples_per_second": 20.009,
137
+ "eval_steps_per_second": 1.252,
138
+ "eval_wer": 0.8223663886314488,
139
+ "learning_rate": 3.748953974895398e-05,
140
+ "step": 3500
141
+ },
142
+ {
143
+ "epoch": 3.21,
144
+ "learning_rate": 3.5397489539748955e-05,
145
+ "loss": 0.3637,
146
+ "step": 4000
147
+ },
148
+ {
149
+ "epoch": 3.21,
150
+ "eval_cer": 0.20644807470771342,
151
+ "eval_clean_cer": 0.18069009040742046,
152
+ "eval_loss": 0.6014806032180786,
153
+ "eval_runtime": 383.3843,
154
+ "eval_samples_per_second": 19.967,
155
+ "eval_steps_per_second": 1.249,
156
+ "eval_wer": 0.7014942360535259,
157
+ "learning_rate": 3.5397489539748955e-05,
158
+ "step": 4000
159
+ },
160
+ {
161
+ "epoch": 3.61,
162
+ "learning_rate": 3.330962343096235e-05,
163
+ "loss": 0.334,
164
+ "step": 4500
165
+ },
166
+ {
167
+ "epoch": 3.61,
168
+ "eval_cer": 0.19067869310522317,
169
+ "eval_clean_cer": 0.1638084125865915,
170
+ "eval_loss": 0.5615196228027344,
171
+ "eval_runtime": 378.29,
172
+ "eval_samples_per_second": 20.236,
173
+ "eval_steps_per_second": 1.266,
174
+ "eval_wer": 0.667495894509211,
175
+ "learning_rate": 3.330962343096235e-05,
176
+ "step": 4500
177
+ },
178
+ {
179
+ "epoch": 4.02,
180
+ "learning_rate": 3.1225941422594144e-05,
181
+ "loss": 0.3283,
182
+ "step": 5000
183
+ },
184
+ {
185
+ "epoch": 4.02,
186
+ "eval_cer": 0.20923613323855977,
187
+ "eval_clean_cer": 0.18034519196900317,
188
+ "eval_loss": 0.6205064058303833,
189
+ "eval_runtime": 383.8788,
190
+ "eval_samples_per_second": 19.941,
191
+ "eval_steps_per_second": 1.248,
192
+ "eval_wer": 0.707282571581874,
193
+ "learning_rate": 3.1225941422594144e-05,
194
+ "step": 5000
195
+ },
196
+ {
197
+ "epoch": 4.42,
198
+ "learning_rate": 2.914644351464435e-05,
199
+ "loss": 0.3762,
200
+ "step": 5500
201
+ },
202
+ {
203
+ "epoch": 4.42,
204
+ "eval_cer": 0.1777892840510797,
205
+ "eval_clean_cer": 0.1600145297640014,
206
+ "eval_loss": 0.7516510486602783,
207
+ "eval_runtime": 383.1576,
208
+ "eval_samples_per_second": 19.979,
209
+ "eval_steps_per_second": 1.25,
210
+ "eval_wer": 0.63658683316261,
211
+ "learning_rate": 2.914644351464435e-05,
212
+ "step": 5500
213
+ },
214
+ {
215
+ "epoch": 4.82,
216
+ "learning_rate": 2.705439330543933e-05,
217
+ "loss": 0.4954,
218
+ "step": 6000
219
+ },
220
+ {
221
+ "epoch": 4.82,
222
+ "eval_cer": 0.2023119439201941,
223
+ "eval_clean_cer": 0.1735132675824821,
224
+ "eval_loss": 0.937389612197876,
225
+ "eval_runtime": 379.9047,
226
+ "eval_samples_per_second": 20.15,
227
+ "eval_steps_per_second": 1.261,
228
+ "eval_wer": 0.7072988309513357,
229
+ "learning_rate": 2.705439330543933e-05,
230
+ "step": 6000
231
+ }
232
+ ],
233
+ "max_steps": 12450,
234
+ "num_train_epochs": 10,
235
+ "total_flos": 6.4445246769939775e+19,
236
+ "trial_name": null,
237
+ "trial_params": null
238
+ }
checkpoint-6000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5202a12b1552089ddded38ec8212e923965f6e5e5e1bf9a39ed5b7bedc1d608
3
+ size 3515
logs/events.out.tfevents.1675161831.31efd5474bec.3677.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:403a9baba2d0676983a9c1601de944f429143187f414d73503285e4a555cbaf8
3
- size 9187
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8af571e9d751c232905e2c8569d092e0fad0ab3fb83b1b62db0ffeeb69f70727
3
+ size 12985
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e009881813edf8a917493333ad86b2849d64f322d5ae02aad4290fa00ba4773c
3
  size 1262184749
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:541358b2fa319c9c10f8443871b95f60cc8c3afe880cdd709ae59e71dcc80f30
3
  size 1262184749