Upload folder using huggingface_hub

#48
by haeylee - opened
hubert/general/08_hubert-xlarge-ll60k/all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "eval_loss": 1.2429771423339844,
4
+ "eval_mse_0": 1.4556059837341309,
5
+ "eval_mse_1": 1.0280197858810425,
6
+ "eval_mse_2": 1.067594289779663,
7
+ "eval_mse_3": 1.4206887483596802,
8
+ "eval_pcc_0": 0.6313722743433603,
9
+ "eval_pcc_1": 0.7037270165618034,
10
+ "eval_pcc_2": 0.6932208330461226,
11
+ "eval_pcc_3": 0.6458695352840674,
12
+ "eval_runtime": 203.1577,
13
+ "eval_samples": 2500,
14
+ "eval_samples_per_second": 12.306,
15
+ "eval_steps_per_second": 1.541,
16
+ "train_loss": 2.5273987888908995,
17
+ "train_runtime": 20465.2379,
18
+ "train_samples": 2500,
19
+ "train_samples_per_second": 3.665,
20
+ "train_steps_per_second": 0.459
21
+ }
hubert/general/08_hubert-xlarge-ll60k/args.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "batch_size": 4,
3
+ "model_name": "facebook/hubert-xlarge-ll60k",
4
+ "learning_rate": 1e-05,
5
+ "num_train_epochs": 30,
6
+ "save_dir": "/data2/haeyoung/0303/general/model_saved",
7
+ "freeze_feature_extractor": false,
8
+ "exp_name": "facebook/hubert-xlarge-ll60k_lr1e-05_epochs30_batch4",
9
+ "save_dir_path": "/data2/haeyoung/0303/general/model_saved/facebook/hubert-xlarge-ll60k_lr1e-05_epochs30_batch4",
10
+ "save_log_path": "/data2/haeyoung/0303/general/model_saved/logs/facebook/hubert-xlarge-ll60k_lr1e-05_epochs30_batch4"
11
+ }
hubert/general/08_hubert-xlarge-ll60k/eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "eval_loss": 1.2429771423339844,
4
+ "eval_mse_0": 1.4556059837341309,
5
+ "eval_mse_1": 1.0280197858810425,
6
+ "eval_mse_2": 1.067594289779663,
7
+ "eval_mse_3": 1.4206887483596802,
8
+ "eval_pcc_0": 0.6313722743433603,
9
+ "eval_pcc_1": 0.7037270165618034,
10
+ "eval_pcc_2": 0.6932208330461226,
11
+ "eval_pcc_3": 0.6458695352840674,
12
+ "eval_runtime": 203.1577,
13
+ "eval_samples": 2500,
14
+ "eval_samples_per_second": 12.306,
15
+ "eval_steps_per_second": 1.541
16
+ }
hubert/general/08_hubert-xlarge-ll60k/finetuned_pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:47bdf6078598ee60b7151e1e254389d1387e8525e8df9d1072388998140edf6c
3
+ size 3850336162
hubert/general/08_hubert-xlarge-ll60k/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1dabeda8cedf70664c98ca3b40415de4c24cbffdbcc82bdf60bfa1ca875d8b41
3
+ size 3850109072
hubert/general/08_hubert-xlarge-ll60k/model_weights.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a94feaa82e49ace5cba602e85c71ada7bb6a4039a24f1f54d410f6bed8315adc
3
+ size 3850327978
hubert/general/08_hubert-xlarge-ll60k/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": true,
8
+ "sampling_rate": 16000
9
+ }
hubert/general/08_hubert-xlarge-ll60k/train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "train_loss": 2.5273987888908995,
4
+ "train_runtime": 20465.2379,
5
+ "train_samples": 2500,
6
+ "train_samples_per_second": 3.665,
7
+ "train_steps_per_second": 0.459
8
+ }
hubert/general/08_hubert-xlarge-ll60k/trainer_args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"output_dir": "/data2/haeyoung/0303/general/model_saved/facebook/hubert-xlarge-ll60k_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": "/data2/haeyoung/0303/general/model_saved/logs/facebook/hubert-xlarge-ll60k_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": "/data2/haeyoung/0303/general/model_saved/facebook/hubert-xlarge-ll60k_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/08_hubert-xlarge-ll60k/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": 14.21042537689209,
14
+ "eval_mse_0": 14.491374969482422,
15
+ "eval_mse_1": 15.235848426818848,
16
+ "eval_mse_2": 14.3114013671875,
17
+ "eval_mse_3": 12.803138732910156,
18
+ "eval_pcc_0": 0.31339751872992866,
19
+ "eval_pcc_1": -0.04449913037593279,
20
+ "eval_pcc_2": -0.04967818623406147,
21
+ "eval_pcc_3": 0.08094723832328224,
22
+ "eval_runtime": 203.4695,
23
+ "eval_samples_per_second": 12.287,
24
+ "eval_steps_per_second": 1.538,
25
+ "step": 313
26
+ },
27
+ {
28
+ "epoch": 1.6,
29
+ "learning_rate": 9.467518636847711e-06,
30
+ "loss": 22.8829,
31
+ "step": 500
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_loss": 6.845417022705078,
36
+ "eval_mse_0": 7.102958679199219,
37
+ "eval_mse_1": 7.256675720214844,
38
+ "eval_mse_2": 6.656838417053223,
39
+ "eval_mse_3": 6.365192413330078,
40
+ "eval_pcc_0": 0.29890354113360085,
41
+ "eval_pcc_1": -0.27095290678086076,
42
+ "eval_pcc_2": -0.2753067152316496,
43
+ "eval_pcc_3": 0.18439805543792603,
44
+ "eval_runtime": 202.3633,
45
+ "eval_samples_per_second": 12.354,
46
+ "eval_steps_per_second": 1.547,
47
+ "step": 626
48
+ },
49
+ {
50
+ "epoch": 3.0,
51
+ "eval_loss": 3.069031000137329,
52
+ "eval_mse_0": 3.271282911300659,
53
+ "eval_mse_1": 2.9518942832946777,
54
+ "eval_mse_2": 2.876866102218628,
55
+ "eval_mse_3": 3.1760778427124023,
56
+ "eval_pcc_0": 0.024049449943351883,
57
+ "eval_pcc_1": -0.38753965092171117,
58
+ "eval_pcc_2": -0.23522291605713105,
59
+ "eval_pcc_3": 0.3209360366878388,
60
+ "eval_runtime": 202.2913,
61
+ "eval_samples_per_second": 12.358,
62
+ "eval_steps_per_second": 1.547,
63
+ "step": 939
64
+ },
65
+ {
66
+ "epoch": 3.19,
67
+ "learning_rate": 8.935037273695422e-06,
68
+ "loss": 5.6851,
69
+ "step": 1000
70
+ },
71
+ {
72
+ "epoch": 4.0,
73
+ "eval_loss": 2.8592846393585205,
74
+ "eval_mse_0": 3.0352439880371094,
75
+ "eval_mse_1": 2.683088541030884,
76
+ "eval_mse_2": 2.6833605766296387,
77
+ "eval_mse_3": 3.0354487895965576,
78
+ "eval_pcc_0": 0.10058683345062165,
79
+ "eval_pcc_1": 0.16762379635599575,
80
+ "eval_pcc_2": 0.15318104456855372,
81
+ "eval_pcc_3": 0.11198007088424215,
82
+ "eval_runtime": 202.1341,
83
+ "eval_samples_per_second": 12.368,
84
+ "eval_steps_per_second": 1.548,
85
+ "step": 1252
86
+ },
87
+ {
88
+ "epoch": 4.79,
89
+ "learning_rate": 8.402555910543132e-06,
90
+ "loss": 2.3898,
91
+ "step": 1500
92
+ },
93
+ {
94
+ "epoch": 5.0,
95
+ "eval_loss": 2.094325304031372,
96
+ "eval_mse_0": 2.28056001663208,
97
+ "eval_mse_1": 1.9052369594573975,
98
+ "eval_mse_2": 1.9120941162109375,
99
+ "eval_mse_3": 2.2794132232666016,
100
+ "eval_pcc_0": 0.23374732962768424,
101
+ "eval_pcc_1": 0.3047207246310872,
102
+ "eval_pcc_2": 0.2956174462954376,
103
+ "eval_pcc_3": 0.2466028680257805,
104
+ "eval_runtime": 202.0851,
105
+ "eval_samples_per_second": 12.371,
106
+ "eval_steps_per_second": 1.549,
107
+ "step": 1565
108
+ },
109
+ {
110
+ "epoch": 6.0,
111
+ "eval_loss": 1.7370017766952515,
112
+ "eval_mse_0": 1.9125233888626099,
113
+ "eval_mse_1": 1.5698639154434204,
114
+ "eval_mse_2": 1.5325552225112915,
115
+ "eval_mse_3": 1.9330638647079468,
116
+ "eval_pcc_0": 0.5140619887798299,
117
+ "eval_pcc_1": 0.6165094335718002,
118
+ "eval_pcc_2": 0.5968038395482518,
119
+ "eval_pcc_3": 0.5365474624195974,
120
+ "eval_runtime": 202.1675,
121
+ "eval_samples_per_second": 12.366,
122
+ "eval_steps_per_second": 1.548,
123
+ "step": 1878
124
+ },
125
+ {
126
+ "epoch": 6.39,
127
+ "learning_rate": 7.870074547390843e-06,
128
+ "loss": 1.7343,
129
+ "step": 2000
130
+ },
131
+ {
132
+ "epoch": 7.0,
133
+ "eval_loss": 1.4363682270050049,
134
+ "eval_mse_0": 1.6495369672775269,
135
+ "eval_mse_1": 1.2387735843658447,
136
+ "eval_mse_2": 1.2743381261825562,
137
+ "eval_mse_3": 1.582825779914856,
138
+ "eval_pcc_0": 0.559592662885545,
139
+ "eval_pcc_1": 0.6414001632215514,
140
+ "eval_pcc_2": 0.6253666235201432,
141
+ "eval_pcc_3": 0.5867745738256969,
142
+ "eval_runtime": 204.2137,
143
+ "eval_samples_per_second": 12.242,
144
+ "eval_steps_per_second": 1.533,
145
+ "step": 2191
146
+ },
147
+ {
148
+ "epoch": 7.99,
149
+ "learning_rate": 7.337593184238552e-06,
150
+ "loss": 1.4834,
151
+ "step": 2500
152
+ },
153
+ {
154
+ "epoch": 8.0,
155
+ "eval_loss": 1.513439416885376,
156
+ "eval_mse_0": 1.719864010810852,
157
+ "eval_mse_1": 1.301133155822754,
158
+ "eval_mse_2": 1.3386423587799072,
159
+ "eval_mse_3": 1.694117784500122,
160
+ "eval_pcc_0": 0.5361834800849117,
161
+ "eval_pcc_1": 0.619180419395474,
162
+ "eval_pcc_2": 0.6030785279507598,
163
+ "eval_pcc_3": 0.5596766506227445,
164
+ "eval_runtime": 204.7361,
165
+ "eval_samples_per_second": 12.211,
166
+ "eval_steps_per_second": 1.529,
167
+ "step": 2504
168
+ },
169
+ {
170
+ "epoch": 9.0,
171
+ "eval_loss": 1.4969929456710815,
172
+ "eval_mse_0": 1.7085679769515991,
173
+ "eval_mse_1": 1.2726653814315796,
174
+ "eval_mse_2": 1.3180763721466064,
175
+ "eval_mse_3": 1.6886677742004395,
176
+ "eval_pcc_0": 0.5385912405981793,
177
+ "eval_pcc_1": 0.6183121131335464,
178
+ "eval_pcc_2": 0.601516113665211,
179
+ "eval_pcc_3": 0.5590966893978593,
180
+ "eval_runtime": 202.4366,
181
+ "eval_samples_per_second": 12.35,
182
+ "eval_steps_per_second": 1.546,
183
+ "step": 2817
184
+ },
185
+ {
186
+ "epoch": 9.58,
187
+ "learning_rate": 6.805111821086262e-06,
188
+ "loss": 1.2797,
189
+ "step": 3000
190
+ },
191
+ {
192
+ "epoch": 10.0,
193
+ "eval_loss": 1.5733281373977661,
194
+ "eval_mse_0": 1.810664415359497,
195
+ "eval_mse_1": 1.3257596492767334,
196
+ "eval_mse_2": 1.3689907789230347,
197
+ "eval_mse_3": 1.7878972291946411,
198
+ "eval_pcc_0": 0.5118173910600906,
199
+ "eval_pcc_1": 0.6012007060618889,
200
+ "eval_pcc_2": 0.5817518145155346,
201
+ "eval_pcc_3": 0.5291008306885933,
202
+ "eval_runtime": 202.365,
203
+ "eval_samples_per_second": 12.354,
204
+ "eval_steps_per_second": 1.547,
205
+ "step": 3130
206
+ },
207
+ {
208
+ "epoch": 11.0,
209
+ "eval_loss": 1.4168530702590942,
210
+ "eval_mse_0": 1.624433994293213,
211
+ "eval_mse_1": 1.1858290433883667,
212
+ "eval_mse_2": 1.2418301105499268,
213
+ "eval_mse_3": 1.6153185367584229,
214
+ "eval_pcc_0": 0.5870925235239078,
215
+ "eval_pcc_1": 0.651762788628645,
216
+ "eval_pcc_2": 0.6360938286039809,
217
+ "eval_pcc_3": 0.6027094405619812,
218
+ "eval_runtime": 202.5365,
219
+ "eval_samples_per_second": 12.343,
220
+ "eval_steps_per_second": 1.545,
221
+ "step": 3443
222
+ },
223
+ {
224
+ "epoch": 11.18,
225
+ "learning_rate": 6.272630457933972e-06,
226
+ "loss": 1.2067,
227
+ "step": 3500
228
+ },
229
+ {
230
+ "epoch": 12.0,
231
+ "eval_loss": 1.5180150270462036,
232
+ "eval_mse_0": 1.7579376697540283,
233
+ "eval_mse_1": 1.2659412622451782,
234
+ "eval_mse_2": 1.2921298742294312,
235
+ "eval_mse_3": 1.7560502290725708,
236
+ "eval_pcc_0": 0.5587278843704406,
237
+ "eval_pcc_1": 0.6528470336671222,
238
+ "eval_pcc_2": 0.6323330684215877,
239
+ "eval_pcc_3": 0.572543705400061,
240
+ "eval_runtime": 203.1636,
241
+ "eval_samples_per_second": 12.305,
242
+ "eval_steps_per_second": 1.541,
243
+ "step": 3756
244
+ },
245
+ {
246
+ "epoch": 12.78,
247
+ "learning_rate": 5.7401490947816826e-06,
248
+ "loss": 1.1442,
249
+ "step": 4000
250
+ },
251
+ {
252
+ "epoch": 13.0,
253
+ "eval_loss": 1.3503384590148926,
254
+ "eval_mse_0": 1.5781158208847046,
255
+ "eval_mse_1": 1.1069287061691284,
256
+ "eval_mse_2": 1.1657685041427612,
257
+ "eval_mse_3": 1.5505397319793701,
258
+ "eval_pcc_0": 0.5929588489857289,
259
+ "eval_pcc_1": 0.6787395882326697,
260
+ "eval_pcc_2": 0.6598568295122386,
261
+ "eval_pcc_3": 0.6093152772310467,
262
+ "eval_runtime": 203.1478,
263
+ "eval_samples_per_second": 12.306,
264
+ "eval_steps_per_second": 1.541,
265
+ "step": 4069
266
+ },
267
+ {
268
+ "epoch": 14.0,
269
+ "eval_loss": 1.3296834230422974,
270
+ "eval_mse_0": 1.548305630683899,
271
+ "eval_mse_1": 1.0942931175231934,
272
+ "eval_mse_2": 1.1508172750473022,
273
+ "eval_mse_3": 1.5253173112869263,
274
+ "eval_pcc_0": 0.6056730290105409,
275
+ "eval_pcc_1": 0.6861127023814588,
276
+ "eval_pcc_2": 0.6676980213730956,
277
+ "eval_pcc_3": 0.6196654537023328,
278
+ "eval_runtime": 203.7374,
279
+ "eval_samples_per_second": 12.271,
280
+ "eval_steps_per_second": 1.536,
281
+ "step": 4382
282
+ },
283
+ {
284
+ "epoch": 14.38,
285
+ "learning_rate": 5.207667731629393e-06,
286
+ "loss": 1.0605,
287
+ "step": 4500
288
+ },
289
+ {
290
+ "epoch": 15.0,
291
+ "eval_loss": 1.350088119506836,
292
+ "eval_mse_0": 1.5686118602752686,
293
+ "eval_mse_1": 1.112762212753296,
294
+ "eval_mse_2": 1.179888129234314,
295
+ "eval_mse_3": 1.539091944694519,
296
+ "eval_pcc_0": 0.5967808971749358,
297
+ "eval_pcc_1": 0.6783622814790322,
298
+ "eval_pcc_2": 0.6612157960786967,
299
+ "eval_pcc_3": 0.6129449994519047,
300
+ "eval_runtime": 202.4428,
301
+ "eval_samples_per_second": 12.349,
302
+ "eval_steps_per_second": 1.546,
303
+ "step": 4695
304
+ },
305
+ {
306
+ "epoch": 15.97,
307
+ "learning_rate": 4.675186368477103e-06,
308
+ "loss": 1.0184,
309
+ "step": 5000
310
+ },
311
+ {
312
+ "epoch": 16.0,
313
+ "eval_loss": 1.3081681728363037,
314
+ "eval_mse_0": 1.5213674306869507,
315
+ "eval_mse_1": 1.07903254032135,
316
+ "eval_mse_2": 1.1227329969406128,
317
+ "eval_mse_3": 1.5095371007919312,
318
+ "eval_pcc_0": 0.6120559008261509,
319
+ "eval_pcc_1": 0.6976804387185814,
320
+ "eval_pcc_2": 0.6785508258538308,
321
+ "eval_pcc_3": 0.6247401079926268,
322
+ "eval_runtime": 202.8261,
323
+ "eval_samples_per_second": 12.326,
324
+ "eval_steps_per_second": 1.543,
325
+ "step": 5008
326
+ },
327
+ {
328
+ "epoch": 17.0,
329
+ "eval_loss": 1.3428281545639038,
330
+ "eval_mse_0": 1.559637427330017,
331
+ "eval_mse_1": 1.1062233448028564,
332
+ "eval_mse_2": 1.1588975191116333,
333
+ "eval_mse_3": 1.546555995941162,
334
+ "eval_pcc_0": 0.6003672573947482,
335
+ "eval_pcc_1": 0.6803658782863133,
336
+ "eval_pcc_2": 0.6631328309010489,
337
+ "eval_pcc_3": 0.6120663309009345,
338
+ "eval_runtime": 204.1059,
339
+ "eval_samples_per_second": 12.249,
340
+ "eval_steps_per_second": 1.534,
341
+ "step": 5321
342
+ },
343
+ {
344
+ "epoch": 17.57,
345
+ "learning_rate": 4.142705005324814e-06,
346
+ "loss": 0.966,
347
+ "step": 5500
348
+ },
349
+ {
350
+ "epoch": 18.0,
351
+ "eval_loss": 1.2832494974136353,
352
+ "eval_mse_0": 1.490411639213562,
353
+ "eval_mse_1": 1.063768744468689,
354
+ "eval_mse_2": 1.1144260168075562,
355
+ "eval_mse_3": 1.4643957614898682,
356
+ "eval_pcc_0": 0.6172838673610451,
357
+ "eval_pcc_1": 0.6911766637735346,
358
+ "eval_pcc_2": 0.6765814424667771,
359
+ "eval_pcc_3": 0.6294751791386366,
360
+ "eval_runtime": 203.9111,
361
+ "eval_samples_per_second": 12.26,
362
+ "eval_steps_per_second": 1.535,
363
+ "step": 5634
364
+ },
365
+ {
366
+ "epoch": 19.0,
367
+ "eval_loss": 1.3138974905014038,
368
+ "eval_mse_0": 1.5475640296936035,
369
+ "eval_mse_1": 1.0769293308258057,
370
+ "eval_mse_2": 1.1150360107421875,
371
+ "eval_mse_3": 1.5160616636276245,
372
+ "eval_pcc_0": 0.6261539743469848,
373
+ "eval_pcc_1": 0.7055848948360127,
374
+ "eval_pcc_2": 0.6904049132282934,
375
+ "eval_pcc_3": 0.6399687362937224,
376
+ "eval_runtime": 204.3335,
377
+ "eval_samples_per_second": 12.235,
378
+ "eval_steps_per_second": 1.532,
379
+ "step": 5947
380
+ },
381
+ {
382
+ "epoch": 19.17,
383
+ "learning_rate": 3.6102236421725247e-06,
384
+ "loss": 0.915,
385
+ "step": 6000
386
+ },
387
+ {
388
+ "epoch": 20.0,
389
+ "eval_loss": 1.3266900777816772,
390
+ "eval_mse_0": 1.5566238164901733,
391
+ "eval_mse_1": 1.0915522575378418,
392
+ "eval_mse_2": 1.132910132408142,
393
+ "eval_mse_3": 1.5256727933883667,
394
+ "eval_pcc_0": 0.6162314031724366,
395
+ "eval_pcc_1": 0.6975514763626268,
396
+ "eval_pcc_2": 0.6825840045936838,
397
+ "eval_pcc_3": 0.630617684198053,
398
+ "eval_runtime": 203.7563,
399
+ "eval_samples_per_second": 12.27,
400
+ "eval_steps_per_second": 1.536,
401
+ "step": 6260
402
+ },
403
+ {
404
+ "epoch": 20.77,
405
+ "learning_rate": 3.0777422790202343e-06,
406
+ "loss": 0.9028,
407
+ "step": 6500
408
+ },
409
+ {
410
+ "epoch": 21.0,
411
+ "eval_loss": 1.2940527200698853,
412
+ "eval_mse_0": 1.519923210144043,
413
+ "eval_mse_1": 1.0612545013427734,
414
+ "eval_mse_2": 1.1128571033477783,
415
+ "eval_mse_3": 1.4821780920028687,
416
+ "eval_pcc_0": 0.6198974812777845,
417
+ "eval_pcc_1": 0.6942544812603074,
418
+ "eval_pcc_2": 0.6827949615101815,
419
+ "eval_pcc_3": 0.6352332606845253,
420
+ "eval_runtime": 204.3408,
421
+ "eval_samples_per_second": 12.234,
422
+ "eval_steps_per_second": 1.532,
423
+ "step": 6573
424
+ },
425
+ {
426
+ "epoch": 22.0,
427
+ "eval_loss": 1.2701632976531982,
428
+ "eval_mse_0": 1.4819650650024414,
429
+ "eval_mse_1": 1.0538557767868042,
430
+ "eval_mse_2": 1.0932190418243408,
431
+ "eval_mse_3": 1.4516133069992065,
432
+ "eval_pcc_0": 0.6209975387537724,
433
+ "eval_pcc_1": 0.6956350125679469,
434
+ "eval_pcc_2": 0.6839401228051497,
435
+ "eval_pcc_3": 0.6348397932416047,
436
+ "eval_runtime": 203.3908,
437
+ "eval_samples_per_second": 12.292,
438
+ "eval_steps_per_second": 1.539,
439
+ "step": 6886
440
+ },
441
+ {
442
+ "epoch": 22.36,
443
+ "learning_rate": 2.5452609158679447e-06,
444
+ "loss": 0.8716,
445
+ "step": 7000
446
+ },
447
+ {
448
+ "epoch": 23.0,
449
+ "eval_loss": 1.2568182945251465,
450
+ "eval_mse_0": 1.469943642616272,
451
+ "eval_mse_1": 1.0371981859207153,
452
+ "eval_mse_2": 1.08242928981781,
453
+ "eval_mse_3": 1.4377042055130005,
454
+ "eval_pcc_0": 0.6284333258398216,
455
+ "eval_pcc_1": 0.7000358461547029,
456
+ "eval_pcc_2": 0.6888147960832176,
457
+ "eval_pcc_3": 0.6424986295768361,
458
+ "eval_runtime": 204.5187,
459
+ "eval_samples_per_second": 12.224,
460
+ "eval_steps_per_second": 1.53,
461
+ "step": 7199
462
+ },
463
+ {
464
+ "epoch": 23.96,
465
+ "learning_rate": 2.012779552715655e-06,
466
+ "loss": 0.8556,
467
+ "step": 7500
468
+ },
469
+ {
470
+ "epoch": 24.0,
471
+ "eval_loss": 1.3086744546890259,
472
+ "eval_mse_0": 1.52476167678833,
473
+ "eval_mse_1": 1.085228681564331,
474
+ "eval_mse_2": 1.1310092210769653,
475
+ "eval_mse_3": 1.493698000907898,
476
+ "eval_pcc_0": 0.6128152525115359,
477
+ "eval_pcc_1": 0.6871395487353599,
478
+ "eval_pcc_2": 0.6769039183023791,
479
+ "eval_pcc_3": 0.6269240489285123,
480
+ "eval_runtime": 203.1608,
481
+ "eval_samples_per_second": 12.306,
482
+ "eval_steps_per_second": 1.541,
483
+ "step": 7512
484
+ },
485
+ {
486
+ "epoch": 25.0,
487
+ "eval_loss": 1.2571042776107788,
488
+ "eval_mse_0": 1.47658109664917,
489
+ "eval_mse_1": 1.0334194898605347,
490
+ "eval_mse_2": 1.0786664485931396,
491
+ "eval_mse_3": 1.439751148223877,
492
+ "eval_pcc_0": 0.6270819562950619,
493
+ "eval_pcc_1": 0.7029997942703922,
494
+ "eval_pcc_2": 0.6915211988722211,
495
+ "eval_pcc_3": 0.6424069485490148,
496
+ "eval_runtime": 202.5206,
497
+ "eval_samples_per_second": 12.344,
498
+ "eval_steps_per_second": 1.546,
499
+ "step": 7825
500
+ },
501
+ {
502
+ "epoch": 25.56,
503
+ "learning_rate": 1.4802981895633654e-06,
504
+ "loss": 0.8405,
505
+ "step": 8000
506
+ },
507
+ {
508
+ "epoch": 26.0,
509
+ "eval_loss": 1.2658495903015137,
510
+ "eval_mse_0": 1.4873664379119873,
511
+ "eval_mse_1": 1.0414340496063232,
512
+ "eval_mse_2": 1.0855013132095337,
513
+ "eval_mse_3": 1.449096441268921,
514
+ "eval_pcc_0": 0.6251476135887488,
515
+ "eval_pcc_1": 0.6994384867535656,
516
+ "eval_pcc_2": 0.6891347367802129,
517
+ "eval_pcc_3": 0.640242246403783,
518
+ "eval_runtime": 202.6983,
519
+ "eval_samples_per_second": 12.334,
520
+ "eval_steps_per_second": 1.544,
521
+ "step": 8138
522
+ },
523
+ {
524
+ "epoch": 27.0,
525
+ "eval_loss": 1.2638978958129883,
526
+ "eval_mse_0": 1.4785104990005493,
527
+ "eval_mse_1": 1.0455129146575928,
528
+ "eval_mse_2": 1.0909162759780884,
529
+ "eval_mse_3": 1.4406505823135376,
530
+ "eval_pcc_0": 0.622519640454944,
531
+ "eval_pcc_1": 0.6972074033423277,
532
+ "eval_pcc_2": 0.6866778755585013,
533
+ "eval_pcc_3": 0.6374730956754262,
534
+ "eval_runtime": 203.1307,
535
+ "eval_samples_per_second": 12.307,
536
+ "eval_steps_per_second": 1.541,
537
+ "step": 8451
538
+ },
539
+ {
540
+ "epoch": 27.16,
541
+ "learning_rate": 9.478168264110757e-07,
542
+ "loss": 0.8045,
543
+ "step": 8500
544
+ },
545
+ {
546
+ "epoch": 28.0,
547
+ "eval_loss": 1.245224952697754,
548
+ "eval_mse_0": 1.4587944746017456,
549
+ "eval_mse_1": 1.0294071435928345,
550
+ "eval_mse_2": 1.0689460039138794,
551
+ "eval_mse_3": 1.4237576723098755,
552
+ "eval_pcc_0": 0.6295444439771427,
553
+ "eval_pcc_1": 0.7033799239560641,
554
+ "eval_pcc_2": 0.6926526140214548,
555
+ "eval_pcc_3": 0.6445067513216154,
556
+ "eval_runtime": 202.1758,
557
+ "eval_samples_per_second": 12.365,
558
+ "eval_steps_per_second": 1.548,
559
+ "step": 8764
560
+ },
561
+ {
562
+ "epoch": 28.75,
563
+ "learning_rate": 4.1533546325878595e-07,
564
+ "loss": 0.7918,
565
+ "step": 9000
566
+ },
567
+ {
568
+ "epoch": 29.0,
569
+ "eval_loss": 1.25887131690979,
570
+ "eval_mse_0": 1.47682523727417,
571
+ "eval_mse_1": 1.0370581150054932,
572
+ "eval_mse_2": 1.0806893110275269,
573
+ "eval_mse_3": 1.4409104585647583,
574
+ "eval_pcc_0": 0.6277033160732701,
575
+ "eval_pcc_1": 0.7008331975225768,
576
+ "eval_pcc_2": 0.6906056201099237,
577
+ "eval_pcc_3": 0.6425996774426014,
578
+ "eval_runtime": 203.0462,
579
+ "eval_samples_per_second": 12.312,
580
+ "eval_steps_per_second": 1.542,
581
+ "step": 9077
582
+ },
583
+ {
584
+ "epoch": 30.0,
585
+ "eval_loss": 1.2429771423339844,
586
+ "eval_mse_0": 1.4556059837341309,
587
+ "eval_mse_1": 1.0280197858810425,
588
+ "eval_mse_2": 1.067594289779663,
589
+ "eval_mse_3": 1.4206887483596802,
590
+ "eval_pcc_0": 0.6313722743433603,
591
+ "eval_pcc_1": 0.7037270165618034,
592
+ "eval_pcc_2": 0.6932208330461226,
593
+ "eval_pcc_3": 0.6458695352840674,
594
+ "eval_runtime": 202.3865,
595
+ "eval_samples_per_second": 12.353,
596
+ "eval_steps_per_second": 1.547,
597
+ "step": 9390
598
+ },
599
+ {
600
+ "epoch": 30.0,
601
+ "step": 9390,
602
+ "total_flos": 0.0,
603
+ "train_loss": 2.5273987888908995,
604
+ "train_runtime": 20465.2379,
605
+ "train_samples_per_second": 3.665,
606
+ "train_steps_per_second": 0.459
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/08_hubert-xlarge-ll60k/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2f598caaa3e414157895eeaea5570d3e986101a39317a01f51c72795d3789c31
3
+ size 4792