haeylee commited on
Commit
053c83c
·
verified ·
1 Parent(s): 4013a1a

Upload folder using huggingface_hub

Browse files
hubert/general/07_hubert-base-ls960/all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "eval_loss": 1.1013392210006714,
4
+ "eval_mse_0": 1.393510103225708,
5
+ "eval_mse_1": 0.8640445470809937,
6
+ "eval_mse_2": 0.8827493190765381,
7
+ "eval_mse_3": 1.2650511264801025,
8
+ "eval_pcc_0": 0.6731441812705756,
9
+ "eval_pcc_1": 0.760422008118168,
10
+ "eval_pcc_2": 0.759085092937088,
11
+ "eval_pcc_3": 0.7037933906921356,
12
+ "eval_runtime": 73.2638,
13
+ "eval_samples": 2500,
14
+ "eval_samples_per_second": 34.123,
15
+ "eval_steps_per_second": 4.272,
16
+ "train_loss": 3.1472203686341436,
17
+ "train_runtime": 5570.0464,
18
+ "train_samples": 2500,
19
+ "train_samples_per_second": 13.465,
20
+ "train_steps_per_second": 1.686
21
+ }
hubert/general/07_hubert-base-ls960/args.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "batch_size": 4,
3
+ "model_name": "facebook/hubert-base-ls960",
4
+ "learning_rate": 1e-05,
5
+ "num_train_epochs": 30,
6
+ "save_dir": "./model_saved",
7
+ "freeze_feature_extractor": false,
8
+ "exp_name": "facebook/hubert-base-ls960_lr1e-05_epochs30_batch4",
9
+ "save_dir_path": "./model_saved/facebook/hubert-base-ls960_lr1e-05_epochs30_batch4",
10
+ "save_log_path": "./model_saved/logs/facebook/hubert-base-ls960_lr1e-05_epochs30_batch4"
11
+ }
hubert/general/07_hubert-base-ls960/eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "eval_loss": 1.1013392210006714,
4
+ "eval_mse_0": 1.393510103225708,
5
+ "eval_mse_1": 0.8640445470809937,
6
+ "eval_mse_2": 0.8827493190765381,
7
+ "eval_mse_3": 1.2650511264801025,
8
+ "eval_pcc_0": 0.6731441812705756,
9
+ "eval_pcc_1": 0.760422008118168,
10
+ "eval_pcc_2": 0.759085092937088,
11
+ "eval_pcc_3": 0.7037933906921356,
12
+ "eval_runtime": 73.2638,
13
+ "eval_samples": 2500,
14
+ "eval_samples_per_second": 34.123,
15
+ "eval_steps_per_second": 4.272
16
+ }
hubert/general/07_hubert-base-ls960/finetuned_pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab1c36b8d766f95234e145ee6524fd634cd944f3045677b64809b874914b5665
3
+ size 377586072
hubert/general/07_hubert-base-ls960/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60fc821bad4f91028d66f71d1e7b7c45965f6c7770fdec90c013b70e50da077c
3
+ size 377524352
hubert/general/07_hubert-base-ls960/model_weights.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:12491e4f0ade3d99eab3399133b0acae69a33e7c461eb33254a1c025d0b287d2
3
+ size 377583774
hubert/general/07_hubert-base-ls960/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,
7
+ "return_attention_mask": false,
8
+ "sampling_rate": 16000
9
+ }
hubert/general/07_hubert-base-ls960/train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "train_loss": 3.1472203686341436,
4
+ "train_runtime": 5570.0464,
5
+ "train_samples": 2500,
6
+ "train_samples_per_second": 13.465,
7
+ "train_steps_per_second": 1.686
8
+ }
hubert/general/07_hubert-base-ls960/trainer_args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"output_dir": "./model_saved/facebook/hubert-base-ls960_lr1e-05_epochs30_batch4", "overwrite_output_dir": false, "do_train": false, "do_eval": true, "do_predict": false, "evaluation_strategy": "epoch", "prediction_loss_only": false, "per_device_train_batch_size": 4, "per_device_eval_batch_size": 4, "per_gpu_train_batch_size": null, "per_gpu_eval_batch_size": null, "gradient_accumulation_steps": 1, "eval_accumulation_steps": null, "eval_delay": 0, "learning_rate": 1e-05, "weight_decay": 0.0, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_epsilon": 1e-08, "max_grad_norm": 1.0, "num_train_epochs": 30, "max_steps": -1, "lr_scheduler_type": "linear", "lr_scheduler_kwargs": {}, "warmup_ratio": 0.0, "warmup_steps": 0, "log_level": "info", "log_level_replica": "warning", "log_on_each_node": true, "logging_dir": "./model_saved/logs/facebook/hubert-base-ls960_lr1e-05_epochs30_batch4", "logging_strategy": "steps", "logging_first_step": false, "logging_steps": 500, "logging_nan_inf_filter": true, "save_strategy": "epoch", "save_steps": 500, "save_total_limit": 3, "save_safetensors": true, "save_on_each_node": false, "save_only_model": false, "no_cuda": false, "use_cpu": false, "use_mps_device": false, "seed": 42, "data_seed": null, "jit_mode_eval": false, "use_ipex": false, "bf16": false, "fp16": false, "fp16_opt_level": "O1", "half_precision_backend": "auto", "bf16_full_eval": false, "fp16_full_eval": false, "tf32": null, "local_rank": 0, "ddp_backend": null, "tpu_num_cores": null, "tpu_metrics_debug": false, "debug": [], "dataloader_drop_last": false, "eval_steps": null, "dataloader_num_workers": 0, "past_index": -1, "run_name": "./model_saved/facebook/hubert-base-ls960_lr1e-05_epochs30_batch4", "disable_tqdm": false, "remove_unused_columns": true, "label_names": null, "load_best_model_at_end": false, "metric_for_best_model": null, "greater_is_better": null, "ignore_data_skip": false, "fsdp": [], "fsdp_min_num_params": 0, "fsdp_config": {"min_num_params": 0, "xla": false, "xla_fsdp_grad_ckpt": false}, "fsdp_transformer_layer_cls_to_wrap": null, "deepspeed": null, "label_smoothing_factor": 0.0, "optim": "adamw_torch", "optim_args": null, "adafactor": false, "group_by_length": false, "length_column_name": "length", "report_to": ["tensorboard"], "ddp_find_unused_parameters": null, "ddp_bucket_cap_mb": null, "ddp_broadcast_buffers": null, "dataloader_pin_memory": true, "dataloader_persistent_workers": false, "skip_memory_metrics": true, "use_legacy_prediction_loop": false, "push_to_hub": false, "resume_from_checkpoint": null, "hub_model_id": null, "hub_strategy": "every_save", "hub_token": "<HUB_TOKEN>", "hub_private_repo": false, "hub_always_push": false, "gradient_checkpointing": false, "gradient_checkpointing_kwargs": null, "include_inputs_for_metrics": false, "fp16_backend": "auto", "push_to_hub_model_id": null, "push_to_hub_organization": null, "push_to_hub_token": "<PUSH_TO_HUB_TOKEN>", "mp_parameters": "", "auto_find_batch_size": false, "full_determinism": false, "torchdynamo": null, "ray_scope": "last", "ddp_timeout": 1800, "torch_compile": false, "torch_compile_backend": null, "torch_compile_mode": null, "dispatch_batches": null, "split_batches": false, "include_tokens_per_second": false, "include_num_input_tokens_seen": false, "neftune_noise_alpha": null}
hubert/general/07_hubert-base-ls960/trainer_state.json ADDED
@@ -0,0 +1,618 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 30.0,
5
+ "eval_steps": 500,
6
+ "global_step": 9390,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "eval_loss": 18.94589614868164,
14
+ "eval_mse_0": 19.138105392456055,
15
+ "eval_mse_1": 20.353334426879883,
16
+ "eval_mse_2": 18.32878875732422,
17
+ "eval_mse_3": 17.96331787109375,
18
+ "eval_pcc_0": -0.019775354078464594,
19
+ "eval_pcc_1": 0.32073229782274965,
20
+ "eval_pcc_2": -0.3686178850416101,
21
+ "eval_pcc_3": -0.184556648828156,
22
+ "eval_runtime": 75.7657,
23
+ "eval_samples_per_second": 32.996,
24
+ "eval_steps_per_second": 4.131,
25
+ "step": 313
26
+ },
27
+ {
28
+ "epoch": 1.6,
29
+ "learning_rate": 9.467518636847711e-06,
30
+ "loss": 24.7821,
31
+ "step": 500
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_loss": 12.961767196655273,
36
+ "eval_mse_0": 13.211214065551758,
37
+ "eval_mse_1": 13.721579551696777,
38
+ "eval_mse_2": 12.539637565612793,
39
+ "eval_mse_3": 12.374610900878906,
40
+ "eval_pcc_0": -0.009062262413385178,
41
+ "eval_pcc_1": 0.2695844294986198,
42
+ "eval_pcc_2": -0.36371851756242374,
43
+ "eval_pcc_3": -0.16866729239057338,
44
+ "eval_runtime": 72.218,
45
+ "eval_samples_per_second": 34.617,
46
+ "eval_steps_per_second": 4.334,
47
+ "step": 626
48
+ },
49
+ {
50
+ "epoch": 3.0,
51
+ "eval_loss": 8.109458923339844,
52
+ "eval_mse_0": 8.669883728027344,
53
+ "eval_mse_1": 8.422429084777832,
54
+ "eval_mse_2": 7.490826606750488,
55
+ "eval_mse_3": 7.854800224304199,
56
+ "eval_pcc_0": -0.17246720033170176,
57
+ "eval_pcc_1": 0.2338225279513316,
58
+ "eval_pcc_2": -0.2528964758070238,
59
+ "eval_pcc_3": 0.04309485501760695,
60
+ "eval_runtime": 73.4379,
61
+ "eval_samples_per_second": 34.042,
62
+ "eval_steps_per_second": 4.262,
63
+ "step": 939
64
+ },
65
+ {
66
+ "epoch": 3.19,
67
+ "learning_rate": 8.935037273695422e-06,
68
+ "loss": 12.4671,
69
+ "step": 1000
70
+ },
71
+ {
72
+ "epoch": 4.0,
73
+ "eval_loss": 4.632750511169434,
74
+ "eval_mse_0": 4.868163108825684,
75
+ "eval_mse_1": 4.771997451782227,
76
+ "eval_mse_2": 4.261656284332275,
77
+ "eval_mse_3": 4.629179000854492,
78
+ "eval_pcc_0": -0.19915402708589455,
79
+ "eval_pcc_1": 0.23591560439723908,
80
+ "eval_pcc_2": -0.4264309711862948,
81
+ "eval_pcc_3": 0.19716859436841042,
82
+ "eval_runtime": 74.6129,
83
+ "eval_samples_per_second": 33.506,
84
+ "eval_steps_per_second": 4.195,
85
+ "step": 1252
86
+ },
87
+ {
88
+ "epoch": 4.79,
89
+ "learning_rate": 8.402555910543132e-06,
90
+ "loss": 5.9073,
91
+ "step": 1500
92
+ },
93
+ {
94
+ "epoch": 5.0,
95
+ "eval_loss": 2.755162477493286,
96
+ "eval_mse_0": 2.7911458015441895,
97
+ "eval_mse_1": 2.716233253479004,
98
+ "eval_mse_2": 2.5814898014068604,
99
+ "eval_mse_3": 2.931776523590088,
100
+ "eval_pcc_0": -0.08446967595522585,
101
+ "eval_pcc_1": 0.20246978259044154,
102
+ "eval_pcc_2": -0.39574244374984563,
103
+ "eval_pcc_3": 0.2883422015087234,
104
+ "eval_runtime": 74.0178,
105
+ "eval_samples_per_second": 33.776,
106
+ "eval_steps_per_second": 4.229,
107
+ "step": 1565
108
+ },
109
+ {
110
+ "epoch": 6.0,
111
+ "eval_loss": 2.243074893951416,
112
+ "eval_mse_0": 2.374678611755371,
113
+ "eval_mse_1": 2.093339443206787,
114
+ "eval_mse_2": 2.0916807651519775,
115
+ "eval_mse_3": 2.4126009941101074,
116
+ "eval_pcc_0": -0.25145935146794657,
117
+ "eval_pcc_1": 0.14908576566148435,
118
+ "eval_pcc_2": -0.30361963666492237,
119
+ "eval_pcc_3": 0.2595830433495344,
120
+ "eval_runtime": 73.0741,
121
+ "eval_samples_per_second": 34.212,
122
+ "eval_steps_per_second": 4.283,
123
+ "step": 1878
124
+ },
125
+ {
126
+ "epoch": 6.39,
127
+ "learning_rate": 7.870074547390843e-06,
128
+ "loss": 3.1594,
129
+ "step": 2000
130
+ },
131
+ {
132
+ "epoch": 7.0,
133
+ "eval_loss": 2.2267212867736816,
134
+ "eval_mse_0": 2.376582384109497,
135
+ "eval_mse_1": 2.0338246822357178,
136
+ "eval_mse_2": 2.078275680541992,
137
+ "eval_mse_3": 2.418203115463257,
138
+ "eval_pcc_0": 0.07131768534893983,
139
+ "eval_pcc_1": 0.08182781865822591,
140
+ "eval_pcc_2": 0.07527145679258421,
141
+ "eval_pcc_3": 0.0689498100772488,
142
+ "eval_runtime": 73.8971,
143
+ "eval_samples_per_second": 33.831,
144
+ "eval_steps_per_second": 4.236,
145
+ "step": 2191
146
+ },
147
+ {
148
+ "epoch": 7.99,
149
+ "learning_rate": 7.337593184238552e-06,
150
+ "loss": 2.4819,
151
+ "step": 2500
152
+ },
153
+ {
154
+ "epoch": 8.0,
155
+ "eval_loss": 1.6627800464630127,
156
+ "eval_mse_0": 1.8164111375808716,
157
+ "eval_mse_1": 1.4906435012817383,
158
+ "eval_mse_2": 1.5327162742614746,
159
+ "eval_mse_3": 1.8113490343093872,
160
+ "eval_pcc_0": 0.49988249511034794,
161
+ "eval_pcc_1": 0.539094430125511,
162
+ "eval_pcc_2": 0.5300123598493314,
163
+ "eval_pcc_3": 0.5117866791232127,
164
+ "eval_runtime": 75.4446,
165
+ "eval_samples_per_second": 33.137,
166
+ "eval_steps_per_second": 4.149,
167
+ "step": 2504
168
+ },
169
+ {
170
+ "epoch": 9.0,
171
+ "eval_loss": 1.433442234992981,
172
+ "eval_mse_0": 1.6437568664550781,
173
+ "eval_mse_1": 1.224677324295044,
174
+ "eval_mse_2": 1.2679296731948853,
175
+ "eval_mse_3": 1.5974042415618896,
176
+ "eval_pcc_0": 0.5775330834150761,
177
+ "eval_pcc_1": 0.6409293136357318,
178
+ "eval_pcc_2": 0.6367375165596971,
179
+ "eval_pcc_3": 0.5995155662582619,
180
+ "eval_runtime": 75.6534,
181
+ "eval_samples_per_second": 33.045,
182
+ "eval_steps_per_second": 4.137,
183
+ "step": 2817
184
+ },
185
+ {
186
+ "epoch": 9.58,
187
+ "learning_rate": 6.805111821086262e-06,
188
+ "loss": 1.3945,
189
+ "step": 3000
190
+ },
191
+ {
192
+ "epoch": 10.0,
193
+ "eval_loss": 1.499963641166687,
194
+ "eval_mse_0": 1.6864652633666992,
195
+ "eval_mse_1": 1.2988204956054688,
196
+ "eval_mse_2": 1.3645745515823364,
197
+ "eval_mse_3": 1.6499913930892944,
198
+ "eval_pcc_0": 0.5904100816412751,
199
+ "eval_pcc_1": 0.644890519030269,
200
+ "eval_pcc_2": 0.6408895852798253,
201
+ "eval_pcc_3": 0.6067129178848146,
202
+ "eval_runtime": 73.6715,
203
+ "eval_samples_per_second": 33.934,
204
+ "eval_steps_per_second": 4.249,
205
+ "step": 3130
206
+ },
207
+ {
208
+ "epoch": 11.0,
209
+ "eval_loss": 1.2064470052719116,
210
+ "eval_mse_0": 1.4318058490753174,
211
+ "eval_mse_1": 0.993518054485321,
212
+ "eval_mse_2": 1.0274714231491089,
213
+ "eval_mse_3": 1.3729945421218872,
214
+ "eval_pcc_0": 0.6424657707208132,
215
+ "eval_pcc_1": 0.7167796179736279,
216
+ "eval_pcc_2": 0.7122768087462553,
217
+ "eval_pcc_3": 0.6626173302663154,
218
+ "eval_runtime": 72.9799,
219
+ "eval_samples_per_second": 34.256,
220
+ "eval_steps_per_second": 4.289,
221
+ "step": 3443
222
+ },
223
+ {
224
+ "epoch": 11.18,
225
+ "learning_rate": 6.272630457933972e-06,
226
+ "loss": 1.0587,
227
+ "step": 3500
228
+ },
229
+ {
230
+ "epoch": 12.0,
231
+ "eval_loss": 1.2195730209350586,
232
+ "eval_mse_0": 1.4471089839935303,
233
+ "eval_mse_1": 1.0103874206542969,
234
+ "eval_mse_2": 1.0344873666763306,
235
+ "eval_mse_3": 1.3863112926483154,
236
+ "eval_pcc_0": 0.6393142177222919,
237
+ "eval_pcc_1": 0.7109860207901474,
238
+ "eval_pcc_2": 0.7092582491462749,
239
+ "eval_pcc_3": 0.6574546793040985,
240
+ "eval_runtime": 72.8339,
241
+ "eval_samples_per_second": 34.325,
242
+ "eval_steps_per_second": 4.297,
243
+ "step": 3756
244
+ },
245
+ {
246
+ "epoch": 12.78,
247
+ "learning_rate": 5.7401490947816826e-06,
248
+ "loss": 0.9281,
249
+ "step": 4000
250
+ },
251
+ {
252
+ "epoch": 13.0,
253
+ "eval_loss": 1.2376728057861328,
254
+ "eval_mse_0": 1.4397125244140625,
255
+ "eval_mse_1": 1.0402178764343262,
256
+ "eval_mse_2": 1.072370171546936,
257
+ "eval_mse_3": 1.3983912467956543,
258
+ "eval_pcc_0": 0.6578162013798159,
259
+ "eval_pcc_1": 0.7165562875046174,
260
+ "eval_pcc_2": 0.715312523140568,
261
+ "eval_pcc_3": 0.6748854371889728,
262
+ "eval_runtime": 74.2124,
263
+ "eval_samples_per_second": 33.687,
264
+ "eval_steps_per_second": 4.218,
265
+ "step": 4069
266
+ },
267
+ {
268
+ "epoch": 14.0,
269
+ "eval_loss": 1.2460466623306274,
270
+ "eval_mse_0": 1.497269868850708,
271
+ "eval_mse_1": 1.0242962837219238,
272
+ "eval_mse_2": 1.0656968355178833,
273
+ "eval_mse_3": 1.3969237804412842,
274
+ "eval_pcc_0": 0.6604654316296025,
275
+ "eval_pcc_1": 0.7266939645521422,
276
+ "eval_pcc_2": 0.7226343363305833,
277
+ "eval_pcc_3": 0.6765067807861624,
278
+ "eval_runtime": 73.1805,
279
+ "eval_samples_per_second": 34.162,
280
+ "eval_steps_per_second": 4.277,
281
+ "step": 4382
282
+ },
283
+ {
284
+ "epoch": 14.38,
285
+ "learning_rate": 5.207667731629393e-06,
286
+ "loss": 0.843,
287
+ "step": 4500
288
+ },
289
+ {
290
+ "epoch": 15.0,
291
+ "eval_loss": 1.0952329635620117,
292
+ "eval_mse_0": 1.3052796125411987,
293
+ "eval_mse_1": 0.9198900461196899,
294
+ "eval_mse_2": 0.9201720952987671,
295
+ "eval_mse_3": 1.235589861869812,
296
+ "eval_pcc_0": 0.6880050707527338,
297
+ "eval_pcc_1": 0.7471154923500962,
298
+ "eval_pcc_2": 0.7460546104271563,
299
+ "eval_pcc_3": 0.7095678766320669,
300
+ "eval_runtime": 71.4181,
301
+ "eval_samples_per_second": 35.005,
302
+ "eval_steps_per_second": 4.383,
303
+ "step": 4695
304
+ },
305
+ {
306
+ "epoch": 15.97,
307
+ "learning_rate": 4.675186368477103e-06,
308
+ "loss": 0.7827,
309
+ "step": 5000
310
+ },
311
+ {
312
+ "epoch": 16.0,
313
+ "eval_loss": 1.2079945802688599,
314
+ "eval_mse_0": 1.4361698627471924,
315
+ "eval_mse_1": 0.9961063265800476,
316
+ "eval_mse_2": 1.0287089347839355,
317
+ "eval_mse_3": 1.3709943294525146,
318
+ "eval_pcc_0": 0.6626336776589729,
319
+ "eval_pcc_1": 0.7225576813560481,
320
+ "eval_pcc_2": 0.722568078532247,
321
+ "eval_pcc_3": 0.6782456875867207,
322
+ "eval_runtime": 74.9371,
323
+ "eval_samples_per_second": 33.361,
324
+ "eval_steps_per_second": 4.177,
325
+ "step": 5008
326
+ },
327
+ {
328
+ "epoch": 17.0,
329
+ "eval_loss": 1.1427335739135742,
330
+ "eval_mse_0": 1.377644658088684,
331
+ "eval_mse_1": 0.929233193397522,
332
+ "eval_mse_2": 0.9717167019844055,
333
+ "eval_mse_3": 1.2923420667648315,
334
+ "eval_pcc_0": 0.6856919490222633,
335
+ "eval_pcc_1": 0.7531635931263728,
336
+ "eval_pcc_2": 0.7523105898371623,
337
+ "eval_pcc_3": 0.7096058384985755,
338
+ "eval_runtime": 73.6381,
339
+ "eval_samples_per_second": 33.95,
340
+ "eval_steps_per_second": 4.251,
341
+ "step": 5321
342
+ },
343
+ {
344
+ "epoch": 17.57,
345
+ "learning_rate": 4.142705005324814e-06,
346
+ "loss": 0.7299,
347
+ "step": 5500
348
+ },
349
+ {
350
+ "epoch": 18.0,
351
+ "eval_loss": 1.1075248718261719,
352
+ "eval_mse_0": 1.369035005569458,
353
+ "eval_mse_1": 0.8825894594192505,
354
+ "eval_mse_2": 0.8975585699081421,
355
+ "eval_mse_3": 1.280916690826416,
356
+ "eval_pcc_0": 0.6798550006684007,
357
+ "eval_pcc_1": 0.7520715179427919,
358
+ "eval_pcc_2": 0.7516719197918724,
359
+ "eval_pcc_3": 0.7046185974825382,
360
+ "eval_runtime": 72.6208,
361
+ "eval_samples_per_second": 34.425,
362
+ "eval_steps_per_second": 4.31,
363
+ "step": 5634
364
+ },
365
+ {
366
+ "epoch": 19.0,
367
+ "eval_loss": 1.1430003643035889,
368
+ "eval_mse_0": 1.3781789541244507,
369
+ "eval_mse_1": 0.9454674124717712,
370
+ "eval_mse_2": 0.9471389651298523,
371
+ "eval_mse_3": 1.3012163639068604,
372
+ "eval_pcc_0": 0.6817389618828931,
373
+ "eval_pcc_1": 0.7499565210734432,
374
+ "eval_pcc_2": 0.7499963974231123,
375
+ "eval_pcc_3": 0.7029371882182629,
376
+ "eval_runtime": 74.1904,
377
+ "eval_samples_per_second": 33.697,
378
+ "eval_steps_per_second": 4.219,
379
+ "step": 5947
380
+ },
381
+ {
382
+ "epoch": 19.17,
383
+ "learning_rate": 3.6102236421725247e-06,
384
+ "loss": 0.6645,
385
+ "step": 6000
386
+ },
387
+ {
388
+ "epoch": 20.0,
389
+ "eval_loss": 1.060410976409912,
390
+ "eval_mse_0": 1.2819561958312988,
391
+ "eval_mse_1": 0.8739719986915588,
392
+ "eval_mse_2": 0.8855644464492798,
393
+ "eval_mse_3": 1.200150489807129,
394
+ "eval_pcc_0": 0.686409776218007,
395
+ "eval_pcc_1": 0.7559929058426073,
396
+ "eval_pcc_2": 0.756017821540729,
397
+ "eval_pcc_3": 0.7105563780813466,
398
+ "eval_runtime": 74.9259,
399
+ "eval_samples_per_second": 33.366,
400
+ "eval_steps_per_second": 4.177,
401
+ "step": 6260
402
+ },
403
+ {
404
+ "epoch": 20.77,
405
+ "learning_rate": 3.0777422790202343e-06,
406
+ "loss": 0.6454,
407
+ "step": 6500
408
+ },
409
+ {
410
+ "epoch": 21.0,
411
+ "eval_loss": 1.0913147926330566,
412
+ "eval_mse_0": 1.3480528593063354,
413
+ "eval_mse_1": 0.8806869387626648,
414
+ "eval_mse_2": 0.8995609283447266,
415
+ "eval_mse_3": 1.2369579076766968,
416
+ "eval_pcc_0": 0.6837673111340477,
417
+ "eval_pcc_1": 0.7554596596417744,
418
+ "eval_pcc_2": 0.7548029849507781,
419
+ "eval_pcc_3": 0.7090283355638027,
420
+ "eval_runtime": 73.0718,
421
+ "eval_samples_per_second": 34.213,
422
+ "eval_steps_per_second": 4.283,
423
+ "step": 6573
424
+ },
425
+ {
426
+ "epoch": 22.0,
427
+ "eval_loss": 1.111764669418335,
428
+ "eval_mse_0": 1.3963850736618042,
429
+ "eval_mse_1": 0.8774217963218689,
430
+ "eval_mse_2": 0.893271803855896,
431
+ "eval_mse_3": 1.2799782752990723,
432
+ "eval_pcc_0": 0.6798838503405358,
433
+ "eval_pcc_1": 0.7570017423206189,
434
+ "eval_pcc_2": 0.757041717977088,
435
+ "eval_pcc_3": 0.7062723355094601,
436
+ "eval_runtime": 70.7308,
437
+ "eval_samples_per_second": 35.345,
438
+ "eval_steps_per_second": 4.425,
439
+ "step": 6886
440
+ },
441
+ {
442
+ "epoch": 22.36,
443
+ "learning_rate": 2.5452609158679447e-06,
444
+ "loss": 0.6451,
445
+ "step": 7000
446
+ },
447
+ {
448
+ "epoch": 23.0,
449
+ "eval_loss": 1.0672656297683716,
450
+ "eval_mse_0": 1.316848874092102,
451
+ "eval_mse_1": 0.8607810735702515,
452
+ "eval_mse_2": 0.872856080532074,
453
+ "eval_mse_3": 1.2185744047164917,
454
+ "eval_pcc_0": 0.6866213535541608,
455
+ "eval_pcc_1": 0.759712315973289,
456
+ "eval_pcc_2": 0.7588455538653228,
457
+ "eval_pcc_3": 0.7126122806060791,
458
+ "eval_runtime": 73.7131,
459
+ "eval_samples_per_second": 33.915,
460
+ "eval_steps_per_second": 4.246,
461
+ "step": 7199
462
+ },
463
+ {
464
+ "epoch": 23.96,
465
+ "learning_rate": 2.012779552715655e-06,
466
+ "loss": 0.5837,
467
+ "step": 7500
468
+ },
469
+ {
470
+ "epoch": 24.0,
471
+ "eval_loss": 1.076933741569519,
472
+ "eval_mse_0": 1.3098905086517334,
473
+ "eval_mse_1": 0.8767925500869751,
474
+ "eval_mse_2": 0.9001609086990356,
475
+ "eval_mse_3": 1.220892071723938,
476
+ "eval_pcc_0": 0.6822292707008807,
477
+ "eval_pcc_1": 0.7553535719073036,
478
+ "eval_pcc_2": 0.7556848269181466,
479
+ "eval_pcc_3": 0.7083728835989292,
480
+ "eval_runtime": 74.3456,
481
+ "eval_samples_per_second": 33.627,
482
+ "eval_steps_per_second": 4.21,
483
+ "step": 7512
484
+ },
485
+ {
486
+ "epoch": 25.0,
487
+ "eval_loss": 1.09120512008667,
488
+ "eval_mse_0": 1.3491629362106323,
489
+ "eval_mse_1": 0.8790355324745178,
490
+ "eval_mse_2": 0.8941197395324707,
491
+ "eval_mse_3": 1.2425047159194946,
492
+ "eval_pcc_0": 0.6761379971411909,
493
+ "eval_pcc_1": 0.7561999137628518,
494
+ "eval_pcc_2": 0.7567834065253972,
495
+ "eval_pcc_3": 0.7044710761405555,
496
+ "eval_runtime": 73.763,
497
+ "eval_samples_per_second": 33.892,
498
+ "eval_steps_per_second": 4.243,
499
+ "step": 7825
500
+ },
501
+ {
502
+ "epoch": 25.56,
503
+ "learning_rate": 1.4802981895633654e-06,
504
+ "loss": 0.5693,
505
+ "step": 8000
506
+ },
507
+ {
508
+ "epoch": 26.0,
509
+ "eval_loss": 1.0818767547607422,
510
+ "eval_mse_0": 1.351433515548706,
511
+ "eval_mse_1": 0.8575886487960815,
512
+ "eval_mse_2": 0.8774282336235046,
513
+ "eval_mse_3": 1.241055965423584,
514
+ "eval_pcc_0": 0.6794353901749828,
515
+ "eval_pcc_1": 0.7614911067180761,
516
+ "eval_pcc_2": 0.7605933258531665,
517
+ "eval_pcc_3": 0.7074136018860306,
518
+ "eval_runtime": 73.8611,
519
+ "eval_samples_per_second": 33.847,
520
+ "eval_steps_per_second": 4.238,
521
+ "step": 8138
522
+ },
523
+ {
524
+ "epoch": 27.0,
525
+ "eval_loss": 1.0856553316116333,
526
+ "eval_mse_0": 1.3681873083114624,
527
+ "eval_mse_1": 0.8559284210205078,
528
+ "eval_mse_2": 0.8700718879699707,
529
+ "eval_mse_3": 1.24843430519104,
530
+ "eval_pcc_0": 0.6753323346540409,
531
+ "eval_pcc_1": 0.7621902060084675,
532
+ "eval_pcc_2": 0.7619371075126602,
533
+ "eval_pcc_3": 0.7058783059518169,
534
+ "eval_runtime": 73.8756,
535
+ "eval_samples_per_second": 33.841,
536
+ "eval_steps_per_second": 4.237,
537
+ "step": 8451
538
+ },
539
+ {
540
+ "epoch": 27.16,
541
+ "learning_rate": 9.478168264110757e-07,
542
+ "loss": 0.5244,
543
+ "step": 8500
544
+ },
545
+ {
546
+ "epoch": 28.0,
547
+ "eval_loss": 1.103684902191162,
548
+ "eval_mse_0": 1.3912023305892944,
549
+ "eval_mse_1": 0.8692779541015625,
550
+ "eval_mse_2": 0.8875213861465454,
551
+ "eval_mse_3": 1.2667373418807983,
552
+ "eval_pcc_0": 0.6708340688666804,
553
+ "eval_pcc_1": 0.7587780609368837,
554
+ "eval_pcc_2": 0.7584120400378815,
555
+ "eval_pcc_3": 0.7017121818356558,
556
+ "eval_runtime": 73.4244,
557
+ "eval_samples_per_second": 34.049,
558
+ "eval_steps_per_second": 4.263,
559
+ "step": 8764
560
+ },
561
+ {
562
+ "epoch": 28.75,
563
+ "learning_rate": 4.1533546325878595e-07,
564
+ "loss": 0.5299,
565
+ "step": 9000
566
+ },
567
+ {
568
+ "epoch": 29.0,
569
+ "eval_loss": 1.0909972190856934,
570
+ "eval_mse_0": 1.3671704530715942,
571
+ "eval_mse_1": 0.8662821054458618,
572
+ "eval_mse_2": 0.8858506083488464,
573
+ "eval_mse_3": 1.2446855306625366,
574
+ "eval_pcc_0": 0.6729560663499426,
575
+ "eval_pcc_1": 0.7592557191672585,
576
+ "eval_pcc_2": 0.7581404959595723,
577
+ "eval_pcc_3": 0.7034362955177479,
578
+ "eval_runtime": 72.2418,
579
+ "eval_samples_per_second": 34.606,
580
+ "eval_steps_per_second": 4.333,
581
+ "step": 9077
582
+ },
583
+ {
584
+ "epoch": 30.0,
585
+ "eval_loss": 1.1013392210006714,
586
+ "eval_mse_0": 1.393510103225708,
587
+ "eval_mse_1": 0.8640445470809937,
588
+ "eval_mse_2": 0.8827493190765381,
589
+ "eval_mse_3": 1.2650511264801025,
590
+ "eval_pcc_0": 0.6731441812705756,
591
+ "eval_pcc_1": 0.760422008118168,
592
+ "eval_pcc_2": 0.759085092937088,
593
+ "eval_pcc_3": 0.7037933906921356,
594
+ "eval_runtime": 73.525,
595
+ "eval_samples_per_second": 34.002,
596
+ "eval_steps_per_second": 4.257,
597
+ "step": 9390
598
+ },
599
+ {
600
+ "epoch": 30.0,
601
+ "step": 9390,
602
+ "total_flos": 0.0,
603
+ "train_loss": 3.1472203686341436,
604
+ "train_runtime": 5570.0464,
605
+ "train_samples_per_second": 13.465,
606
+ "train_steps_per_second": 1.686
607
+ }
608
+ ],
609
+ "logging_steps": 500,
610
+ "max_steps": 9390,
611
+ "num_input_tokens_seen": 0,
612
+ "num_train_epochs": 30,
613
+ "save_steps": 500,
614
+ "total_flos": 0.0,
615
+ "train_batch_size": 8,
616
+ "trial_name": null,
617
+ "trial_params": null
618
+ }
hubert/general/07_hubert-base-ls960/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94eb05aaa43d9bcf4385ee300f61830564e451bdd5432f97f58648a82ed546e3
3
+ size 4792