Upload folder using huggingface_hub

#46
hubert/freeze/06_hubert-large-ll60k/all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "eval_loss": 1.09412682056427,
4
+ "eval_mse_0": 1.314692497253418,
5
+ "eval_mse_1": 0.9007453918457031,
6
+ "eval_mse_2": 0.8966655135154724,
7
+ "eval_mse_3": 1.2644017934799194,
8
+ "eval_pcc_0": 0.6978036754289734,
9
+ "eval_pcc_1": 0.7633007951550812,
10
+ "eval_pcc_2": 0.7602320436717974,
11
+ "eval_pcc_3": 0.7159232592726362,
12
+ "eval_runtime": 113.3505,
13
+ "eval_samples": 2500,
14
+ "eval_samples_per_second": 22.055,
15
+ "eval_steps_per_second": 2.761,
16
+ "train_loss": 3.5172604415617306,
17
+ "train_runtime": 10162.7558,
18
+ "train_samples": 2500,
19
+ "train_samples_per_second": 7.38,
20
+ "train_steps_per_second": 0.924
21
+ }
hubert/freeze/06_hubert-large-ll60k/args.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "batch_size": 4,
3
+ "model_name": "facebook/hubert-large-ll60k",
4
+ "learning_rate": 1e-05,
5
+ "num_train_epochs": 30,
6
+ "save_dir": "./cnnfreeze/model_saved",
7
+ "freeze_feature_extractor": true,
8
+ "exp_name": "facebook/hubert-large-ll60k_lr1e-05_epochs30_batch4",
9
+ "save_dir_path": "./cnnfreeze/model_saved/facebook/hubert-large-ll60k_lr1e-05_epochs30_batch4",
10
+ "save_log_path": "./cnnfreeze/model_saved/logs/facebook/hubert-large-ll60k_lr1e-05_epochs30_batch4"
11
+ }
hubert/freeze/06_hubert-large-ll60k/eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "eval_loss": 1.09412682056427,
4
+ "eval_mse_0": 1.314692497253418,
5
+ "eval_mse_1": 0.9007453918457031,
6
+ "eval_mse_2": 0.8966655135154724,
7
+ "eval_mse_3": 1.2644017934799194,
8
+ "eval_pcc_0": 0.6978036754289734,
9
+ "eval_pcc_1": 0.7633007951550812,
10
+ "eval_pcc_2": 0.7602320436717974,
11
+ "eval_pcc_3": 0.7159232592726362,
12
+ "eval_runtime": 113.3505,
13
+ "eval_samples": 2500,
14
+ "eval_samples_per_second": 22.055,
15
+ "eval_steps_per_second": 2.761
16
+ }
hubert/freeze/06_hubert-large-ll60k/finetuned_pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e29b7ba3d331e7dc2ddd795bb9855f0127fd427d4771cf333845c04d3eda004
3
+ size 1261942498
hubert/freeze/06_hubert-large-ll60k/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dac11f7e67e45b85733090711ec314e2e37adb2ff30be1091bdd89e696f106a3
3
+ size 1261822608
hubert/freeze/06_hubert-large-ll60k/model_weights.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:852ed501c3e035c3fe07229acf6f0c71c357f209b01ad3299476ce7bc2d29023
3
+ size 1261938154
hubert/freeze/06_hubert-large-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/freeze/06_hubert-large-ll60k/train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "train_loss": 3.5172604415617306,
4
+ "train_runtime": 10162.7558,
5
+ "train_samples": 2500,
6
+ "train_samples_per_second": 7.38,
7
+ "train_steps_per_second": 0.924
8
+ }
hubert/freeze/06_hubert-large-ll60k/trainer_args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"output_dir": "./cnnfreeze/model_saved/facebook/hubert-large-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": "./cnnfreeze/model_saved/logs/facebook/hubert-large-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": "./cnnfreeze/model_saved/facebook/hubert-large-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/freeze/06_hubert-large-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": 23.464088439941406,
14
+ "eval_mse_0": 24.500089645385742,
15
+ "eval_mse_1": 25.419967651367188,
16
+ "eval_mse_2": 21.951576232910156,
17
+ "eval_mse_3": 21.984712600708008,
18
+ "eval_pcc_0": -0.14548546148520175,
19
+ "eval_pcc_1": 0.020317639710384597,
20
+ "eval_pcc_2": 0.018297460533470172,
21
+ "eval_pcc_3": -0.060557621309763575,
22
+ "eval_runtime": 114.5482,
23
+ "eval_samples_per_second": 21.825,
24
+ "eval_steps_per_second": 2.732,
25
+ "step": 313
26
+ },
27
+ {
28
+ "epoch": 1.6,
29
+ "learning_rate": 9.467518636847711e-06,
30
+ "loss": 30.555,
31
+ "step": 500
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_loss": 16.082393646240234,
36
+ "eval_mse_0": 16.724864959716797,
37
+ "eval_mse_1": 17.32929801940918,
38
+ "eval_mse_2": 15.148998260498047,
39
+ "eval_mse_3": 15.126378059387207,
40
+ "eval_pcc_0": 0.1005812453906892,
41
+ "eval_pcc_1": 0.05644005246492625,
42
+ "eval_pcc_2": 0.15678980256469546,
43
+ "eval_pcc_3": -0.03580962397427668,
44
+ "eval_runtime": 113.1065,
45
+ "eval_samples_per_second": 22.103,
46
+ "eval_steps_per_second": 2.767,
47
+ "step": 626
48
+ },
49
+ {
50
+ "epoch": 3.0,
51
+ "eval_loss": 10.417339324951172,
52
+ "eval_mse_0": 10.647412300109863,
53
+ "eval_mse_1": 11.296011924743652,
54
+ "eval_mse_2": 9.921504020690918,
55
+ "eval_mse_3": 9.80443286895752,
56
+ "eval_pcc_0": 0.03998749477969044,
57
+ "eval_pcc_1": 0.1589178595830588,
58
+ "eval_pcc_2": 0.19691881641654835,
59
+ "eval_pcc_3": -0.04370104832020182,
60
+ "eval_runtime": 113.7116,
61
+ "eval_samples_per_second": 21.985,
62
+ "eval_steps_per_second": 2.753,
63
+ "step": 939
64
+ },
65
+ {
66
+ "epoch": 3.19,
67
+ "learning_rate": 8.935037273695422e-06,
68
+ "loss": 14.4939,
69
+ "step": 1000
70
+ },
71
+ {
72
+ "epoch": 4.0,
73
+ "eval_loss": 6.132882118225098,
74
+ "eval_mse_0": 6.467881202697754,
75
+ "eval_mse_1": 6.414465427398682,
76
+ "eval_mse_2": 5.660821437835693,
77
+ "eval_mse_3": 5.988348007202148,
78
+ "eval_pcc_0": -0.01595642821219878,
79
+ "eval_pcc_1": 0.16873718425608533,
80
+ "eval_pcc_2": 0.2578215276274135,
81
+ "eval_pcc_3": -0.08482432332347559,
82
+ "eval_runtime": 113.3692,
83
+ "eval_samples_per_second": 22.052,
84
+ "eval_steps_per_second": 2.761,
85
+ "step": 1252
86
+ },
87
+ {
88
+ "epoch": 4.79,
89
+ "learning_rate": 8.402555910543132e-06,
90
+ "loss": 6.7504,
91
+ "step": 1500
92
+ },
93
+ {
94
+ "epoch": 5.0,
95
+ "eval_loss": 3.437288284301758,
96
+ "eval_mse_0": 3.6432788372039795,
97
+ "eval_mse_1": 3.4288132190704346,
98
+ "eval_mse_2": 3.1786444187164307,
99
+ "eval_mse_3": 3.4984214305877686,
100
+ "eval_pcc_0": -0.08861881812417294,
101
+ "eval_pcc_1": 0.11046710180989909,
102
+ "eval_pcc_2": 0.34930462652529404,
103
+ "eval_pcc_3": -0.01309191714681052,
104
+ "eval_runtime": 107.2446,
105
+ "eval_samples_per_second": 23.311,
106
+ "eval_steps_per_second": 2.919,
107
+ "step": 1565
108
+ },
109
+ {
110
+ "epoch": 6.0,
111
+ "eval_loss": 2.3929593563079834,
112
+ "eval_mse_0": 2.5581247806549072,
113
+ "eval_mse_1": 2.2455995082855225,
114
+ "eval_mse_2": 2.20369553565979,
115
+ "eval_mse_3": 2.5644168853759766,
116
+ "eval_pcc_0": -0.11902002131298707,
117
+ "eval_pcc_1": 0.36236645417090585,
118
+ "eval_pcc_2": 0.3912324574917287,
119
+ "eval_pcc_3": 0.17236843868710744,
120
+ "eval_runtime": 107.5124,
121
+ "eval_samples_per_second": 23.253,
122
+ "eval_steps_per_second": 2.911,
123
+ "step": 1878
124
+ },
125
+ {
126
+ "epoch": 6.39,
127
+ "learning_rate": 7.870074547390843e-06,
128
+ "loss": 3.0985,
129
+ "step": 2000
130
+ },
131
+ {
132
+ "epoch": 7.0,
133
+ "eval_loss": 1.977383017539978,
134
+ "eval_mse_0": 2.250638246536255,
135
+ "eval_mse_1": 1.8019471168518066,
136
+ "eval_mse_2": 1.7169171571731567,
137
+ "eval_mse_3": 2.1400346755981445,
138
+ "eval_pcc_0": 0.5546036229324902,
139
+ "eval_pcc_1": 0.6302945989157085,
140
+ "eval_pcc_2": 0.6237910166644094,
141
+ "eval_pcc_3": 0.5718936484283916,
142
+ "eval_runtime": 113.2674,
143
+ "eval_samples_per_second": 22.072,
144
+ "eval_steps_per_second": 2.763,
145
+ "step": 2191
146
+ },
147
+ {
148
+ "epoch": 7.99,
149
+ "learning_rate": 7.337593184238552e-06,
150
+ "loss": 1.4523,
151
+ "step": 2500
152
+ },
153
+ {
154
+ "epoch": 8.0,
155
+ "eval_loss": 1.6728081703186035,
156
+ "eval_mse_0": 1.9406732320785522,
157
+ "eval_mse_1": 1.4782512187957764,
158
+ "eval_mse_2": 1.4240261316299438,
159
+ "eval_mse_3": 1.848281979560852,
160
+ "eval_pcc_0": 0.5925460420491659,
161
+ "eval_pcc_1": 0.6598771384481985,
162
+ "eval_pcc_2": 0.6570126228442218,
163
+ "eval_pcc_3": 0.6124750317456998,
164
+ "eval_runtime": 114.2289,
165
+ "eval_samples_per_second": 21.886,
166
+ "eval_steps_per_second": 2.74,
167
+ "step": 2504
168
+ },
169
+ {
170
+ "epoch": 9.0,
171
+ "eval_loss": 2.310683012008667,
172
+ "eval_mse_0": 2.699202060699463,
173
+ "eval_mse_1": 2.0160934925079346,
174
+ "eval_mse_2": 1.877930998802185,
175
+ "eval_mse_3": 2.6495063304901123,
176
+ "eval_pcc_0": 0.5844247804447732,
177
+ "eval_pcc_1": 0.6707493863249283,
178
+ "eval_pcc_2": 0.6671828190332776,
179
+ "eval_pcc_3": 0.6053908162701495,
180
+ "eval_runtime": 113.6179,
181
+ "eval_samples_per_second": 22.004,
182
+ "eval_steps_per_second": 2.755,
183
+ "step": 2817
184
+ },
185
+ {
186
+ "epoch": 9.58,
187
+ "learning_rate": 6.805111821086262e-06,
188
+ "loss": 0.9932,
189
+ "step": 3000
190
+ },
191
+ {
192
+ "epoch": 10.0,
193
+ "eval_loss": 1.293025016784668,
194
+ "eval_mse_0": 1.500808596611023,
195
+ "eval_mse_1": 1.1110005378723145,
196
+ "eval_mse_2": 1.0944920778274536,
197
+ "eval_mse_3": 1.4657984972000122,
198
+ "eval_pcc_0": 0.6552389572486301,
199
+ "eval_pcc_1": 0.7208678939939638,
200
+ "eval_pcc_2": 0.7180835711287028,
201
+ "eval_pcc_3": 0.6744770752025413,
202
+ "eval_runtime": 113.8662,
203
+ "eval_samples_per_second": 21.956,
204
+ "eval_steps_per_second": 2.749,
205
+ "step": 3130
206
+ },
207
+ {
208
+ "epoch": 11.0,
209
+ "eval_loss": 1.5488990545272827,
210
+ "eval_mse_0": 1.816372275352478,
211
+ "eval_mse_1": 1.3638255596160889,
212
+ "eval_mse_2": 1.2626476287841797,
213
+ "eval_mse_3": 1.7527458667755127,
214
+ "eval_pcc_0": 0.6554273870857392,
215
+ "eval_pcc_1": 0.7252073739004575,
216
+ "eval_pcc_2": 0.726203351445805,
217
+ "eval_pcc_3": 0.676786937843125,
218
+ "eval_runtime": 112.5778,
219
+ "eval_samples_per_second": 22.207,
220
+ "eval_steps_per_second": 2.78,
221
+ "step": 3443
222
+ },
223
+ {
224
+ "epoch": 11.18,
225
+ "learning_rate": 6.272630457933972e-06,
226
+ "loss": 0.8679,
227
+ "step": 3500
228
+ },
229
+ {
230
+ "epoch": 12.0,
231
+ "eval_loss": 1.213575005531311,
232
+ "eval_mse_0": 1.4318335056304932,
233
+ "eval_mse_1": 1.0323591232299805,
234
+ "eval_mse_2": 1.0034881830215454,
235
+ "eval_mse_3": 1.3866182565689087,
236
+ "eval_pcc_0": 0.6727926884307186,
237
+ "eval_pcc_1": 0.733530139603941,
238
+ "eval_pcc_2": 0.7334123514330291,
239
+ "eval_pcc_3": 0.6914167917421773,
240
+ "eval_runtime": 108.1774,
241
+ "eval_samples_per_second": 23.11,
242
+ "eval_steps_per_second": 2.893,
243
+ "step": 3756
244
+ },
245
+ {
246
+ "epoch": 12.78,
247
+ "learning_rate": 5.7401490947816826e-06,
248
+ "loss": 0.8131,
249
+ "step": 4000
250
+ },
251
+ {
252
+ "epoch": 13.0,
253
+ "eval_loss": 1.3522251844406128,
254
+ "eval_mse_0": 1.5593934059143066,
255
+ "eval_mse_1": 1.1976536512374878,
256
+ "eval_mse_2": 1.1283066272735596,
257
+ "eval_mse_3": 1.5235480070114136,
258
+ "eval_pcc_0": 0.678423013162171,
259
+ "eval_pcc_1": 0.7473902256020736,
260
+ "eval_pcc_2": 0.7457870123008311,
261
+ "eval_pcc_3": 0.6989513544504188,
262
+ "eval_runtime": 107.7668,
263
+ "eval_samples_per_second": 23.198,
264
+ "eval_steps_per_second": 2.904,
265
+ "step": 4069
266
+ },
267
+ {
268
+ "epoch": 14.0,
269
+ "eval_loss": 1.1120421886444092,
270
+ "eval_mse_0": 1.3055943250656128,
271
+ "eval_mse_1": 0.9352452158927917,
272
+ "eval_mse_2": 0.9406785368919373,
273
+ "eval_mse_3": 1.2666507959365845,
274
+ "eval_pcc_0": 0.6870049129137955,
275
+ "eval_pcc_1": 0.7477579660893863,
276
+ "eval_pcc_2": 0.7430492723463085,
277
+ "eval_pcc_3": 0.7032483580349816,
278
+ "eval_runtime": 114.4468,
279
+ "eval_samples_per_second": 21.844,
280
+ "eval_steps_per_second": 2.735,
281
+ "step": 4382
282
+ },
283
+ {
284
+ "epoch": 14.38,
285
+ "learning_rate": 5.207667731629393e-06,
286
+ "loss": 0.7454,
287
+ "step": 4500
288
+ },
289
+ {
290
+ "epoch": 15.0,
291
+ "eval_loss": 1.1226520538330078,
292
+ "eval_mse_0": 1.3314456939697266,
293
+ "eval_mse_1": 0.9490616917610168,
294
+ "eval_mse_2": 0.9349042177200317,
295
+ "eval_mse_3": 1.275194764137268,
296
+ "eval_pcc_0": 0.6949892309361607,
297
+ "eval_pcc_1": 0.7568476439254415,
298
+ "eval_pcc_2": 0.7553981963702316,
299
+ "eval_pcc_3": 0.714138454152869,
300
+ "eval_runtime": 112.7597,
301
+ "eval_samples_per_second": 22.171,
302
+ "eval_steps_per_second": 2.776,
303
+ "step": 4695
304
+ },
305
+ {
306
+ "epoch": 15.97,
307
+ "learning_rate": 4.675186368477103e-06,
308
+ "loss": 0.7238,
309
+ "step": 5000
310
+ },
311
+ {
312
+ "epoch": 16.0,
313
+ "eval_loss": 1.1254388093948364,
314
+ "eval_mse_0": 1.3336297273635864,
315
+ "eval_mse_1": 0.9387655258178711,
316
+ "eval_mse_2": 0.9400995969772339,
317
+ "eval_mse_3": 1.2892582416534424,
318
+ "eval_pcc_0": 0.6899778442717124,
319
+ "eval_pcc_1": 0.7526641934064587,
320
+ "eval_pcc_2": 0.7501125827247234,
321
+ "eval_pcc_3": 0.7078097182657104,
322
+ "eval_runtime": 113.7514,
323
+ "eval_samples_per_second": 21.978,
324
+ "eval_steps_per_second": 2.752,
325
+ "step": 5008
326
+ },
327
+ {
328
+ "epoch": 17.0,
329
+ "eval_loss": 1.3626134395599365,
330
+ "eval_mse_0": 1.5626565217971802,
331
+ "eval_mse_1": 1.1893789768218994,
332
+ "eval_mse_2": 1.1607831716537476,
333
+ "eval_mse_3": 1.5376348495483398,
334
+ "eval_pcc_0": 0.6887906603018633,
335
+ "eval_pcc_1": 0.751157618169284,
336
+ "eval_pcc_2": 0.7481383862547255,
337
+ "eval_pcc_3": 0.7060199035705913,
338
+ "eval_runtime": 113.2692,
339
+ "eval_samples_per_second": 22.071,
340
+ "eval_steps_per_second": 2.763,
341
+ "step": 5321
342
+ },
343
+ {
344
+ "epoch": 17.57,
345
+ "learning_rate": 4.142705005324814e-06,
346
+ "loss": 0.6808,
347
+ "step": 5500
348
+ },
349
+ {
350
+ "epoch": 18.0,
351
+ "eval_loss": 1.0917613506317139,
352
+ "eval_mse_0": 1.2973997592926025,
353
+ "eval_mse_1": 0.9099846482276917,
354
+ "eval_mse_2": 0.9056599736213684,
355
+ "eval_mse_3": 1.253999948501587,
356
+ "eval_pcc_0": 0.693647084273921,
357
+ "eval_pcc_1": 0.7555326107382554,
358
+ "eval_pcc_2": 0.7542858938786949,
359
+ "eval_pcc_3": 0.7112303382504275,
360
+ "eval_runtime": 114.311,
361
+ "eval_samples_per_second": 21.87,
362
+ "eval_steps_per_second": 2.738,
363
+ "step": 5634
364
+ },
365
+ {
366
+ "epoch": 19.0,
367
+ "eval_loss": 1.0726264715194702,
368
+ "eval_mse_0": 1.2675074338912964,
369
+ "eval_mse_1": 0.8979853391647339,
370
+ "eval_mse_2": 0.8969945311546326,
371
+ "eval_mse_3": 1.2280200719833374,
372
+ "eval_pcc_0": 0.6959621605511239,
373
+ "eval_pcc_1": 0.7573833995512865,
374
+ "eval_pcc_2": 0.754773043681351,
375
+ "eval_pcc_3": 0.71254626166644,
376
+ "eval_runtime": 109.9168,
377
+ "eval_samples_per_second": 22.744,
378
+ "eval_steps_per_second": 2.848,
379
+ "step": 5947
380
+ },
381
+ {
382
+ "epoch": 19.17,
383
+ "learning_rate": 3.6102236421725247e-06,
384
+ "loss": 0.6712,
385
+ "step": 6000
386
+ },
387
+ {
388
+ "epoch": 20.0,
389
+ "eval_loss": 1.160241961479187,
390
+ "eval_mse_0": 1.3633567094802856,
391
+ "eval_mse_1": 0.9808834791183472,
392
+ "eval_mse_2": 0.9675971865653992,
393
+ "eval_mse_3": 1.3291337490081787,
394
+ "eval_pcc_0": 0.6943857412427568,
395
+ "eval_pcc_1": 0.7566295627347095,
396
+ "eval_pcc_2": 0.7533948007137785,
397
+ "eval_pcc_3": 0.7104616872026699,
398
+ "eval_runtime": 108.326,
399
+ "eval_samples_per_second": 23.078,
400
+ "eval_steps_per_second": 2.889,
401
+ "step": 6260
402
+ },
403
+ {
404
+ "epoch": 20.77,
405
+ "learning_rate": 3.0777422790202343e-06,
406
+ "loss": 0.6365,
407
+ "step": 6500
408
+ },
409
+ {
410
+ "epoch": 21.0,
411
+ "eval_loss": 1.1046916246414185,
412
+ "eval_mse_0": 1.3096872568130493,
413
+ "eval_mse_1": 0.9179690480232239,
414
+ "eval_mse_2": 0.918371856212616,
415
+ "eval_mse_3": 1.2727361917495728,
416
+ "eval_pcc_0": 0.6922211895642245,
417
+ "eval_pcc_1": 0.7544192910912704,
418
+ "eval_pcc_2": 0.7512976054122661,
419
+ "eval_pcc_3": 0.7082675595789555,
420
+ "eval_runtime": 114.0317,
421
+ "eval_samples_per_second": 21.924,
422
+ "eval_steps_per_second": 2.745,
423
+ "step": 6573
424
+ },
425
+ {
426
+ "epoch": 22.0,
427
+ "eval_loss": 1.0888475179672241,
428
+ "eval_mse_0": 1.2864885330200195,
429
+ "eval_mse_1": 0.9135333299636841,
430
+ "eval_mse_2": 0.9104655385017395,
431
+ "eval_mse_3": 1.2449043989181519,
432
+ "eval_pcc_0": 0.698303166581463,
433
+ "eval_pcc_1": 0.7631841595203092,
434
+ "eval_pcc_2": 0.7596075254465224,
435
+ "eval_pcc_3": 0.715590703578691,
436
+ "eval_runtime": 113.1271,
437
+ "eval_samples_per_second": 22.099,
438
+ "eval_steps_per_second": 2.767,
439
+ "step": 6886
440
+ },
441
+ {
442
+ "epoch": 22.36,
443
+ "learning_rate": 2.5452609158679447e-06,
444
+ "loss": 0.6501,
445
+ "step": 7000
446
+ },
447
+ {
448
+ "epoch": 23.0,
449
+ "eval_loss": 1.0793206691741943,
450
+ "eval_mse_0": 1.2920621633529663,
451
+ "eval_mse_1": 0.8841156959533691,
452
+ "eval_mse_2": 0.8957485556602478,
453
+ "eval_mse_3": 1.245357871055603,
454
+ "eval_pcc_0": 0.6921323678375761,
455
+ "eval_pcc_1": 0.7571145857749322,
456
+ "eval_pcc_2": 0.7540693522879633,
457
+ "eval_pcc_3": 0.7093976129039354,
458
+ "eval_runtime": 112.8463,
459
+ "eval_samples_per_second": 22.154,
460
+ "eval_steps_per_second": 2.774,
461
+ "step": 7199
462
+ },
463
+ {
464
+ "epoch": 23.96,
465
+ "learning_rate": 2.012779552715655e-06,
466
+ "loss": 0.6181,
467
+ "step": 7500
468
+ },
469
+ {
470
+ "epoch": 24.0,
471
+ "eval_loss": 1.0812824964523315,
472
+ "eval_mse_0": 1.291995882987976,
473
+ "eval_mse_1": 0.8896977305412292,
474
+ "eval_mse_2": 0.8953147530555725,
475
+ "eval_mse_3": 1.2481228113174438,
476
+ "eval_pcc_0": 0.6956069136803965,
477
+ "eval_pcc_1": 0.7606819561635235,
478
+ "eval_pcc_2": 0.7571781398848694,
479
+ "eval_pcc_3": 0.7130148471056387,
480
+ "eval_runtime": 114.4112,
481
+ "eval_samples_per_second": 21.851,
482
+ "eval_steps_per_second": 2.736,
483
+ "step": 7512
484
+ },
485
+ {
486
+ "epoch": 25.0,
487
+ "eval_loss": 1.152065634727478,
488
+ "eval_mse_0": 1.382017731666565,
489
+ "eval_mse_1": 0.9556840062141418,
490
+ "eval_mse_2": 0.9399166703224182,
491
+ "eval_mse_3": 1.3306434154510498,
492
+ "eval_pcc_0": 0.6953995767957701,
493
+ "eval_pcc_1": 0.7602093055525856,
494
+ "eval_pcc_2": 0.7576566740142268,
495
+ "eval_pcc_3": 0.7133234284513179,
496
+ "eval_runtime": 113.415,
497
+ "eval_samples_per_second": 22.043,
498
+ "eval_steps_per_second": 2.76,
499
+ "step": 7825
500
+ },
501
+ {
502
+ "epoch": 25.56,
503
+ "learning_rate": 1.4802981895633654e-06,
504
+ "loss": 0.6259,
505
+ "step": 8000
506
+ },
507
+ {
508
+ "epoch": 26.0,
509
+ "eval_loss": 1.095807433128357,
510
+ "eval_mse_0": 1.3185217380523682,
511
+ "eval_mse_1": 0.9019806385040283,
512
+ "eval_mse_2": 0.896472156047821,
513
+ "eval_mse_3": 1.2662543058395386,
514
+ "eval_pcc_0": 0.6969231453663605,
515
+ "eval_pcc_1": 0.7621334551179104,
516
+ "eval_pcc_2": 0.759513759977706,
517
+ "eval_pcc_3": 0.7150834216018443,
518
+ "eval_runtime": 111.3548,
519
+ "eval_samples_per_second": 22.451,
520
+ "eval_steps_per_second": 2.811,
521
+ "step": 8138
522
+ },
523
+ {
524
+ "epoch": 27.0,
525
+ "eval_loss": 1.113642692565918,
526
+ "eval_mse_0": 1.3366793394088745,
527
+ "eval_mse_1": 0.920546293258667,
528
+ "eval_mse_2": 0.9105738997459412,
529
+ "eval_mse_3": 1.2867721319198608,
530
+ "eval_pcc_0": 0.6973609631265844,
531
+ "eval_pcc_1": 0.762182721620191,
532
+ "eval_pcc_2": 0.7595581889870101,
533
+ "eval_pcc_3": 0.7153931840065346,
534
+ "eval_runtime": 107.673,
535
+ "eval_samples_per_second": 23.218,
536
+ "eval_steps_per_second": 2.907,
537
+ "step": 8451
538
+ },
539
+ {
540
+ "epoch": 27.16,
541
+ "learning_rate": 9.478168264110757e-07,
542
+ "loss": 0.6145,
543
+ "step": 8500
544
+ },
545
+ {
546
+ "epoch": 28.0,
547
+ "eval_loss": 1.1024720668792725,
548
+ "eval_mse_0": 1.3240455389022827,
549
+ "eval_mse_1": 0.9099608659744263,
550
+ "eval_mse_2": 0.9020697474479675,
551
+ "eval_mse_3": 1.2738114595413208,
552
+ "eval_pcc_0": 0.6973497947174971,
553
+ "eval_pcc_1": 0.7625484168270749,
554
+ "eval_pcc_2": 0.7597740562606012,
555
+ "eval_pcc_3": 0.7154231714888142,
556
+ "eval_runtime": 114.0307,
557
+ "eval_samples_per_second": 21.924,
558
+ "eval_steps_per_second": 2.745,
559
+ "step": 8764
560
+ },
561
+ {
562
+ "epoch": 28.75,
563
+ "learning_rate": 4.1533546325878595e-07,
564
+ "loss": 0.5925,
565
+ "step": 9000
566
+ },
567
+ {
568
+ "epoch": 29.0,
569
+ "eval_loss": 1.1004142761230469,
570
+ "eval_mse_0": 1.320556879043579,
571
+ "eval_mse_1": 0.9081287384033203,
572
+ "eval_mse_2": 0.9019935727119446,
573
+ "eval_mse_3": 1.2709765434265137,
574
+ "eval_pcc_0": 0.6979016866511663,
575
+ "eval_pcc_1": 0.7632067661450569,
576
+ "eval_pcc_2": 0.7600612447398324,
577
+ "eval_pcc_3": 0.7159655134589754,
578
+ "eval_runtime": 114.2903,
579
+ "eval_samples_per_second": 21.874,
580
+ "eval_steps_per_second": 2.739,
581
+ "step": 9077
582
+ },
583
+ {
584
+ "epoch": 30.0,
585
+ "eval_loss": 1.09412682056427,
586
+ "eval_mse_0": 1.314692497253418,
587
+ "eval_mse_1": 0.9007453918457031,
588
+ "eval_mse_2": 0.8966655135154724,
589
+ "eval_mse_3": 1.2644017934799194,
590
+ "eval_pcc_0": 0.6978036754289734,
591
+ "eval_pcc_1": 0.7633007951550812,
592
+ "eval_pcc_2": 0.7602320436717974,
593
+ "eval_pcc_3": 0.7159232592726362,
594
+ "eval_runtime": 114.5487,
595
+ "eval_samples_per_second": 21.825,
596
+ "eval_steps_per_second": 2.732,
597
+ "step": 9390
598
+ },
599
+ {
600
+ "epoch": 30.0,
601
+ "step": 9390,
602
+ "total_flos": 0.0,
603
+ "train_loss": 3.5172604415617306,
604
+ "train_runtime": 10162.7558,
605
+ "train_samples_per_second": 7.38,
606
+ "train_steps_per_second": 0.924
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/freeze/06_hubert-large-ll60k/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18f1e7704a1cc9b4d1247207b64480a7585a67998a5e5b1d60e386f87864fc7e
3
+ size 4792