Initial commit
Browse files- config.json +76 -0
- preprocessor_config.json +8 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- trainer_state.json +254 -0
- training_args.bin +3 -0
- vocab.json +1 -0
config.json
ADDED
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "facebook/wav2vec2-large-xlsr-53",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"apply_spec_augment": true,
|
5 |
+
"architectures": [
|
6 |
+
"Wav2Vec2ForCTC"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.1,
|
9 |
+
"bos_token_id": 1,
|
10 |
+
"conv_bias": true,
|
11 |
+
"conv_dim": [
|
12 |
+
512,
|
13 |
+
512,
|
14 |
+
512,
|
15 |
+
512,
|
16 |
+
512,
|
17 |
+
512,
|
18 |
+
512
|
19 |
+
],
|
20 |
+
"conv_kernel": [
|
21 |
+
10,
|
22 |
+
3,
|
23 |
+
3,
|
24 |
+
3,
|
25 |
+
3,
|
26 |
+
2,
|
27 |
+
2
|
28 |
+
],
|
29 |
+
"conv_stride": [
|
30 |
+
5,
|
31 |
+
2,
|
32 |
+
2,
|
33 |
+
2,
|
34 |
+
2,
|
35 |
+
2,
|
36 |
+
2
|
37 |
+
],
|
38 |
+
"ctc_loss_reduction": "mean",
|
39 |
+
"ctc_zero_infinity": false,
|
40 |
+
"do_stable_layer_norm": true,
|
41 |
+
"eos_token_id": 2,
|
42 |
+
"feat_extract_activation": "gelu",
|
43 |
+
"feat_extract_dropout": 0.0,
|
44 |
+
"feat_extract_norm": "layer",
|
45 |
+
"feat_proj_dropout": 0.0,
|
46 |
+
"final_dropout": 0.0,
|
47 |
+
"gradient_checkpointing": true,
|
48 |
+
"hidden_act": "gelu",
|
49 |
+
"hidden_dropout": 0.1,
|
50 |
+
"hidden_size": 1024,
|
51 |
+
"initializer_range": 0.02,
|
52 |
+
"intermediate_size": 4096,
|
53 |
+
"layer_norm_eps": 1e-05,
|
54 |
+
"layerdrop": 0.1,
|
55 |
+
"mask_channel_length": 10,
|
56 |
+
"mask_channel_min_space": 1,
|
57 |
+
"mask_channel_other": 0.0,
|
58 |
+
"mask_channel_prob": 0.0,
|
59 |
+
"mask_channel_selection": "static",
|
60 |
+
"mask_feature_length": 10,
|
61 |
+
"mask_feature_prob": 0.0,
|
62 |
+
"mask_time_length": 10,
|
63 |
+
"mask_time_min_space": 1,
|
64 |
+
"mask_time_other": 0.0,
|
65 |
+
"mask_time_prob": 0.05,
|
66 |
+
"mask_time_selection": "static",
|
67 |
+
"model_type": "wav2vec2",
|
68 |
+
"num_attention_heads": 16,
|
69 |
+
"num_conv_pos_embedding_groups": 16,
|
70 |
+
"num_conv_pos_embeddings": 128,
|
71 |
+
"num_feat_extract_layers": 7,
|
72 |
+
"num_hidden_layers": 24,
|
73 |
+
"pad_token_id": 55,
|
74 |
+
"transformers_version": "4.5.0.dev0",
|
75 |
+
"vocab_size": 56
|
76 |
+
}
|
preprocessor_config.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"feature_size": 1,
|
4 |
+
"padding_side": "right",
|
5 |
+
"padding_value": 0.0,
|
6 |
+
"return_attention_mask": true,
|
7 |
+
"sampling_rate": 16000
|
8 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f5ea10f6fd23609fd4c28cc96653b2147d12568e092866cdaf7e02bbda40284d
|
3 |
+
size 1262163415
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]"}
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": "[UNK]", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "do_lower_case": false, "word_delimiter_token": "|"}
|
trainer_state.json
ADDED
@@ -0,0 +1,254 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 29.953846153846154,
|
5 |
+
"global_step": 6800,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 1.76,
|
12 |
+
"learning_rate": 0.00023999999999999998,
|
13 |
+
"loss": 6.331,
|
14 |
+
"step": 400
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 1.76,
|
18 |
+
"eval_loss": 3.29716157913208,
|
19 |
+
"eval_runtime": 392.7938,
|
20 |
+
"eval_samples_per_second": 8.236,
|
21 |
+
"eval_wer": 0.9908326967150497,
|
22 |
+
"step": 400
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"epoch": 3.52,
|
26 |
+
"learning_rate": 0.00028573692551505547,
|
27 |
+
"loss": 3.3384,
|
28 |
+
"step": 800
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 3.52,
|
32 |
+
"eval_loss": 3.2769880294799805,
|
33 |
+
"eval_runtime": 403.0436,
|
34 |
+
"eval_samples_per_second": 8.026,
|
35 |
+
"eval_wer": 0.9908326967150497,
|
36 |
+
"step": 800
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 5.29,
|
40 |
+
"learning_rate": 0.00026671949286846274,
|
41 |
+
"loss": 2.8767,
|
42 |
+
"step": 1200
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 5.29,
|
46 |
+
"eval_loss": 0.987671434879303,
|
47 |
+
"eval_runtime": 414.5553,
|
48 |
+
"eval_samples_per_second": 7.804,
|
49 |
+
"eval_wer": 0.9542438985163444,
|
50 |
+
"step": 1200
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 7.05,
|
54 |
+
"learning_rate": 0.00024770206022187,
|
55 |
+
"loss": 0.7362,
|
56 |
+
"step": 1600
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 7.05,
|
60 |
+
"eval_loss": 0.5294700860977173,
|
61 |
+
"eval_runtime": 412.2788,
|
62 |
+
"eval_samples_per_second": 7.847,
|
63 |
+
"eval_wer": 0.7132805275220135,
|
64 |
+
"step": 1600
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 8.81,
|
68 |
+
"learning_rate": 0.0002286846275752773,
|
69 |
+
"loss": 0.4225,
|
70 |
+
"step": 2000
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 8.81,
|
74 |
+
"eval_loss": 0.47939780354499817,
|
75 |
+
"eval_runtime": 412.9001,
|
76 |
+
"eval_samples_per_second": 7.835,
|
77 |
+
"eval_wer": 0.6393791966547384,
|
78 |
+
"step": 2000
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 10.57,
|
82 |
+
"learning_rate": 0.0002096671949286846,
|
83 |
+
"loss": 0.2997,
|
84 |
+
"step": 2400
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 10.57,
|
88 |
+
"eval_loss": 0.47680211067199707,
|
89 |
+
"eval_runtime": 406.5095,
|
90 |
+
"eval_samples_per_second": 7.958,
|
91 |
+
"eval_wer": 0.5926983233484782,
|
92 |
+
"step": 2400
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 12.33,
|
96 |
+
"learning_rate": 0.00019064976228209192,
|
97 |
+
"loss": 0.2349,
|
98 |
+
"step": 2800
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 12.33,
|
102 |
+
"eval_loss": 0.46566906571388245,
|
103 |
+
"eval_runtime": 410.6338,
|
104 |
+
"eval_samples_per_second": 7.878,
|
105 |
+
"eval_wer": 0.5762936753648827,
|
106 |
+
"step": 2800
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 14.1,
|
110 |
+
"learning_rate": 0.00017163232963549917,
|
111 |
+
"loss": 0.1947,
|
112 |
+
"step": 3200
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 14.1,
|
116 |
+
"eval_loss": 0.5099472999572754,
|
117 |
+
"eval_runtime": 412.6367,
|
118 |
+
"eval_samples_per_second": 7.84,
|
119 |
+
"eval_wer": 0.5637087370833501,
|
120 |
+
"step": 3200
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 15.86,
|
124 |
+
"learning_rate": 0.00015261489698890646,
|
125 |
+
"loss": 0.1652,
|
126 |
+
"step": 3600
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 15.86,
|
130 |
+
"eval_loss": 0.4866821765899658,
|
131 |
+
"eval_runtime": 413.7594,
|
132 |
+
"eval_samples_per_second": 7.819,
|
133 |
+
"eval_wer": 0.5551445458566202,
|
134 |
+
"step": 3600
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 17.62,
|
138 |
+
"learning_rate": 0.0001335974643423138,
|
139 |
+
"loss": 0.1397,
|
140 |
+
"step": 4000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 17.62,
|
144 |
+
"eval_loss": 0.510926365852356,
|
145 |
+
"eval_runtime": 416.443,
|
146 |
+
"eval_samples_per_second": 7.768,
|
147 |
+
"eval_wer": 0.5460576575127659,
|
148 |
+
"step": 4000
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 19.38,
|
152 |
+
"learning_rate": 0.00011458003169572107,
|
153 |
+
"loss": 0.1251,
|
154 |
+
"step": 4400
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 19.38,
|
158 |
+
"eval_loss": 0.5401586294174194,
|
159 |
+
"eval_runtime": 410.6668,
|
160 |
+
"eval_samples_per_second": 7.877,
|
161 |
+
"eval_wer": 0.5362470346990471,
|
162 |
+
"step": 4400
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 21.15,
|
166 |
+
"learning_rate": 9.556259904912835e-05,
|
167 |
+
"loss": 0.1105,
|
168 |
+
"step": 4800
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 21.15,
|
172 |
+
"eval_loss": 0.5472865104675293,
|
173 |
+
"eval_runtime": 415.7439,
|
174 |
+
"eval_samples_per_second": 7.781,
|
175 |
+
"eval_wer": 0.530416951469583,
|
176 |
+
"step": 4800
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 22.91,
|
180 |
+
"learning_rate": 7.654516640253565e-05,
|
181 |
+
"loss": 0.0932,
|
182 |
+
"step": 5200
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 22.91,
|
186 |
+
"eval_loss": 0.5360305309295654,
|
187 |
+
"eval_runtime": 420.1088,
|
188 |
+
"eval_samples_per_second": 7.7,
|
189 |
+
"eval_wer": 0.5289694825298541,
|
190 |
+
"step": 5200
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 24.67,
|
194 |
+
"learning_rate": 5.752773375594294e-05,
|
195 |
+
"loss": 0.0893,
|
196 |
+
"step": 5600
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 24.67,
|
200 |
+
"eval_loss": 0.5389866232872009,
|
201 |
+
"eval_runtime": 429.4038,
|
202 |
+
"eval_samples_per_second": 7.534,
|
203 |
+
"eval_wer": 0.5169072413654457,
|
204 |
+
"step": 5600
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 26.43,
|
208 |
+
"learning_rate": 3.851030110935023e-05,
|
209 |
+
"loss": 0.0863,
|
210 |
+
"step": 6000
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 26.43,
|
214 |
+
"eval_loss": 0.5444660186767578,
|
215 |
+
"eval_runtime": 423.7501,
|
216 |
+
"eval_samples_per_second": 7.634,
|
217 |
+
"eval_wer": 0.5146958304853042,
|
218 |
+
"step": 6000
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 28.19,
|
222 |
+
"learning_rate": 1.9492868462757525e-05,
|
223 |
+
"loss": 0.0778,
|
224 |
+
"step": 6400
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 28.19,
|
228 |
+
"eval_loss": 0.5570007562637329,
|
229 |
+
"eval_runtime": 420.4258,
|
230 |
+
"eval_samples_per_second": 7.695,
|
231 |
+
"eval_wer": 0.5113988179003659,
|
232 |
+
"step": 6400
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 29.95,
|
236 |
+
"learning_rate": 4.754358161648177e-07,
|
237 |
+
"loss": 0.0732,
|
238 |
+
"step": 6800
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 29.95,
|
242 |
+
"eval_loss": 0.557680606842041,
|
243 |
+
"eval_runtime": 427.3219,
|
244 |
+
"eval_samples_per_second": 7.57,
|
245 |
+
"eval_wer": 0.5118411000763942,
|
246 |
+
"step": 6800
|
247 |
+
}
|
248 |
+
],
|
249 |
+
"max_steps": 6810,
|
250 |
+
"num_train_epochs": 30,
|
251 |
+
"total_flos": 3.375783462381318e+19,
|
252 |
+
"trial_name": null,
|
253 |
+
"trial_params": null
|
254 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e2fa9c7c05a8a24aecbe728ed8d960a674e19cd55c296c7de8bb30b25d9fe68c
|
3 |
+
size 2287
|
vocab.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"з": 0, "щ": 2, "x": 3, "ю": 4, "ї": 5, "л": 6, "ж": 7, "с": 8, "—": 9, "ш": 10, "m": 11, "ц": 12, "n": 13, "l": 14, "–": 15, "о": 16, "»": 17, "y": 18, "ч": 19, "и": 20, "a": 21, "м": 22, "o": 23, "i": 24, "c": 25, "п": 26, "«": 27, "p": 28, "…": 29, "ґ": 30, "u": 31, "у": 32, "і": 33, "'": 34, "e": 35, "ф": 36, "ь": 37, "а": 38, "н": 39, "р": 40, "`": 41, "г": 42, "в": 43, "к": 44, "е": 45, "т": 46, "д": 47, "х": 48, "’": 49, "б": 50, "я": 51, "й": 52, "є": 53, "|": 1, "[UNK]": 54, "[PAD]": 55}
|