Upload folder using huggingface_hub

#49
hubert/ctc/08_hubert-xlarge-ll60k/all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "eval_loss": 1.0636274814605713,
4
+ "eval_mse_0": 1.291344404220581,
5
+ "eval_mse_1": 0.8609154224395752,
6
+ "eval_mse_2": 0.8673214912414551,
7
+ "eval_mse_3": 1.2349287271499634,
8
+ "eval_pcc_0": 0.6857904234808526,
9
+ "eval_pcc_1": 0.7593770185673134,
10
+ "eval_pcc_2": 0.7611637554520289,
11
+ "eval_pcc_3": 0.7046817934160569,
12
+ "eval_runtime": 209.3256,
13
+ "eval_samples": 2500,
14
+ "eval_samples_per_second": 11.943,
15
+ "eval_steps_per_second": 1.495,
16
+ "train_loss": 2.660792814504605,
17
+ "train_runtime": 20639.7022,
18
+ "train_samples": 2500,
19
+ "train_samples_per_second": 3.634,
20
+ "train_steps_per_second": 0.455
21
+ }
hubert/ctc/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/ctc/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/ctc/model_saved/facebook/hubert-xlarge-ll60k_lr1e-05_epochs30_batch4",
10
+ "save_log_path": "/data2/haeyoung/0303/ctc/model_saved/logs/facebook/hubert-xlarge-ll60k_lr1e-05_epochs30_batch4"
11
+ }
hubert/ctc/08_hubert-xlarge-ll60k/eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "eval_loss": 1.0636274814605713,
4
+ "eval_mse_0": 1.291344404220581,
5
+ "eval_mse_1": 0.8609154224395752,
6
+ "eval_mse_2": 0.8673214912414551,
7
+ "eval_mse_3": 1.2349287271499634,
8
+ "eval_pcc_0": 0.6857904234808526,
9
+ "eval_pcc_1": 0.7593770185673134,
10
+ "eval_pcc_2": 0.7611637554520289,
11
+ "eval_pcc_3": 0.7046817934160569,
12
+ "eval_runtime": 209.3256,
13
+ "eval_samples": 2500,
14
+ "eval_samples_per_second": 11.943,
15
+ "eval_steps_per_second": 1.495
16
+ }
hubert/ctc/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:f4b2525c592450292cb6238897310cf93de6940041d6a58d50b36da65c067a62
3
+ size 3850503230
hubert/ctc/08_hubert-xlarge-ll60k/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:28f1116f889c4864fc0e356f42a2017c51fe933ede9316e9bf607109c4aabb55
3
+ size 3850258896
hubert/ctc/08_hubert-xlarge-ll60k/model_weights.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8b7978dce9b91f67a172ff360138e72fd9ae9d8aeb48d389b48b48ffa8d7391f
3
+ size 3850495026
hubert/ctc/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/ctc/08_hubert-xlarge-ll60k/train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "train_loss": 2.660792814504605,
4
+ "train_runtime": 20639.7022,
5
+ "train_samples": 2500,
6
+ "train_samples_per_second": 3.634,
7
+ "train_steps_per_second": 0.455
8
+ }
hubert/ctc/08_hubert-xlarge-ll60k/trainer_args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"output_dir": "/data2/haeyoung/0303/ctc/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/ctc/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/ctc/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/ctc/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": 20.333858489990234,
14
+ "eval_mse_0": 16.554113388061523,
15
+ "eval_mse_1": 23.708436965942383,
16
+ "eval_mse_2": 26.395322799682617,
17
+ "eval_mse_3": 14.677531242370605,
18
+ "eval_pcc_0": 0.08887771336999509,
19
+ "eval_pcc_1": 0.30416897399834153,
20
+ "eval_pcc_2": -0.11869277397195638,
21
+ "eval_pcc_3": -0.05092855944760599,
22
+ "eval_runtime": 203.6146,
23
+ "eval_samples_per_second": 12.278,
24
+ "eval_steps_per_second": 1.537,
25
+ "step": 313
26
+ },
27
+ {
28
+ "epoch": 1.6,
29
+ "learning_rate": 9.467518636847711e-06,
30
+ "loss": 29.1628,
31
+ "step": 500
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_loss": 8.371243476867676,
36
+ "eval_mse_0": 6.608287334442139,
37
+ "eval_mse_1": 10.010001182556152,
38
+ "eval_mse_2": 11.445313453674316,
39
+ "eval_mse_3": 5.421355724334717,
40
+ "eval_pcc_0": 0.15230714518503505,
41
+ "eval_pcc_1": 0.31651858655786524,
42
+ "eval_pcc_2": -0.3098743749181427,
43
+ "eval_pcc_3": -0.08943039168565037,
44
+ "eval_runtime": 202.8185,
45
+ "eval_samples_per_second": 12.326,
46
+ "eval_steps_per_second": 1.543,
47
+ "step": 626
48
+ },
49
+ {
50
+ "epoch": 3.0,
51
+ "eval_loss": 2.84228253364563,
52
+ "eval_mse_0": 2.8173067569732666,
53
+ "eval_mse_1": 2.8192200660705566,
54
+ "eval_mse_2": 3.008348226547241,
55
+ "eval_mse_3": 2.7242579460144043,
56
+ "eval_pcc_0": 0.26284629405677384,
57
+ "eval_pcc_1": 0.3395178235678686,
58
+ "eval_pcc_2": -0.4887300856906985,
59
+ "eval_pcc_3": 0.2144796816379417,
60
+ "eval_runtime": 203.2406,
61
+ "eval_samples_per_second": 12.301,
62
+ "eval_steps_per_second": 1.54,
63
+ "step": 939
64
+ },
65
+ {
66
+ "epoch": 3.19,
67
+ "learning_rate": 8.935037273695422e-06,
68
+ "loss": 6.4573,
69
+ "step": 1000
70
+ },
71
+ {
72
+ "epoch": 4.0,
73
+ "eval_loss": 2.5990328788757324,
74
+ "eval_mse_0": 2.7770566940307617,
75
+ "eval_mse_1": 2.4433836936950684,
76
+ "eval_mse_2": 2.4372899532318115,
77
+ "eval_mse_3": 2.738408088684082,
78
+ "eval_pcc_0": 0.3161769003199966,
79
+ "eval_pcc_1": 0.3966704647645627,
80
+ "eval_pcc_2": 0.3754604857681634,
81
+ "eval_pcc_3": 0.3229699560349081,
82
+ "eval_runtime": 203.0933,
83
+ "eval_samples_per_second": 12.31,
84
+ "eval_steps_per_second": 1.541,
85
+ "step": 1252
86
+ },
87
+ {
88
+ "epoch": 4.79,
89
+ "learning_rate": 8.402555910543132e-06,
90
+ "loss": 2.0303,
91
+ "step": 1500
92
+ },
93
+ {
94
+ "epoch": 5.0,
95
+ "eval_loss": 1.5712674856185913,
96
+ "eval_mse_0": 1.7247648239135742,
97
+ "eval_mse_1": 1.3775886297225952,
98
+ "eval_mse_2": 1.4481903314590454,
99
+ "eval_mse_3": 1.734527587890625,
100
+ "eval_pcc_0": 0.5231576361013757,
101
+ "eval_pcc_1": 0.5697144912224956,
102
+ "eval_pcc_2": 0.5507807353215809,
103
+ "eval_pcc_3": 0.5317655927100577,
104
+ "eval_runtime": 202.7022,
105
+ "eval_samples_per_second": 12.333,
106
+ "eval_steps_per_second": 1.544,
107
+ "step": 1565
108
+ },
109
+ {
110
+ "epoch": 6.0,
111
+ "eval_loss": 1.6596863269805908,
112
+ "eval_mse_0": 1.8965370655059814,
113
+ "eval_mse_1": 1.4242517948150635,
114
+ "eval_mse_2": 1.4227795600891113,
115
+ "eval_mse_3": 1.8951765298843384,
116
+ "eval_pcc_0": 0.5577199537295284,
117
+ "eval_pcc_1": 0.6456385345601334,
118
+ "eval_pcc_2": 0.6251746051142912,
119
+ "eval_pcc_3": 0.5699618394088968,
120
+ "eval_runtime": 203.7545,
121
+ "eval_samples_per_second": 12.27,
122
+ "eval_steps_per_second": 1.536,
123
+ "step": 1878
124
+ },
125
+ {
126
+ "epoch": 6.39,
127
+ "learning_rate": 7.870074547390843e-06,
128
+ "loss": 1.3252,
129
+ "step": 2000
130
+ },
131
+ {
132
+ "epoch": 7.0,
133
+ "eval_loss": 2.3559465408325195,
134
+ "eval_mse_0": 2.761385917663574,
135
+ "eval_mse_1": 1.9953265190124512,
136
+ "eval_mse_2": 1.9403605461120605,
137
+ "eval_mse_3": 2.7267091274261475,
138
+ "eval_pcc_0": 0.5567282316614617,
139
+ "eval_pcc_1": 0.6535631176210748,
140
+ "eval_pcc_2": 0.6353176903080382,
141
+ "eval_pcc_3": 0.5689403558879337,
142
+ "eval_runtime": 206.0447,
143
+ "eval_samples_per_second": 12.133,
144
+ "eval_steps_per_second": 1.519,
145
+ "step": 2191
146
+ },
147
+ {
148
+ "epoch": 7.99,
149
+ "learning_rate": 7.337593184238552e-06,
150
+ "loss": 1.0838,
151
+ "step": 2500
152
+ },
153
+ {
154
+ "epoch": 8.0,
155
+ "eval_loss": 1.774496078491211,
156
+ "eval_mse_0": 2.0387697219848633,
157
+ "eval_mse_1": 1.5231553316116333,
158
+ "eval_mse_2": 1.4725456237792969,
159
+ "eval_mse_3": 2.063514232635498,
160
+ "eval_pcc_0": 0.5942018206531998,
161
+ "eval_pcc_1": 0.6840947488000324,
162
+ "eval_pcc_2": 0.6707717908763593,
163
+ "eval_pcc_3": 0.6080548747004896,
164
+ "eval_runtime": 203.1109,
165
+ "eval_samples_per_second": 12.309,
166
+ "eval_steps_per_second": 1.541,
167
+ "step": 2504
168
+ },
169
+ {
170
+ "epoch": 9.0,
171
+ "eval_loss": 1.266087293624878,
172
+ "eval_mse_0": 1.4825718402862549,
173
+ "eval_mse_1": 1.0457584857940674,
174
+ "eval_mse_2": 1.0797761678695679,
175
+ "eval_mse_3": 1.4562429189682007,
176
+ "eval_pcc_0": 0.6348035344851367,
177
+ "eval_pcc_1": 0.7058168118714253,
178
+ "eval_pcc_2": 0.6944099878573109,
179
+ "eval_pcc_3": 0.6492674743054553,
180
+ "eval_runtime": 202.9007,
181
+ "eval_samples_per_second": 12.321,
182
+ "eval_steps_per_second": 1.543,
183
+ "step": 2817
184
+ },
185
+ {
186
+ "epoch": 9.58,
187
+ "learning_rate": 6.805111821086262e-06,
188
+ "loss": 0.9748,
189
+ "step": 3000
190
+ },
191
+ {
192
+ "epoch": 10.0,
193
+ "eval_loss": 1.2405636310577393,
194
+ "eval_mse_0": 1.4680604934692383,
195
+ "eval_mse_1": 1.016302227973938,
196
+ "eval_mse_2": 1.0383095741271973,
197
+ "eval_mse_3": 1.4395811557769775,
198
+ "eval_pcc_0": 0.6480777858763171,
199
+ "eval_pcc_1": 0.7231846473962125,
200
+ "eval_pcc_2": 0.714282014843502,
201
+ "eval_pcc_3": 0.6630857126360169,
202
+ "eval_runtime": 210.6434,
203
+ "eval_samples_per_second": 11.868,
204
+ "eval_steps_per_second": 1.486,
205
+ "step": 3130
206
+ },
207
+ {
208
+ "epoch": 11.0,
209
+ "eval_loss": 1.3747354745864868,
210
+ "eval_mse_0": 1.631429672241211,
211
+ "eval_mse_1": 1.133544683456421,
212
+ "eval_mse_2": 1.131657600402832,
213
+ "eval_mse_3": 1.602310299873352,
214
+ "eval_pcc_0": 0.6393380023455071,
215
+ "eval_pcc_1": 0.7172979276438516,
216
+ "eval_pcc_2": 0.7073642880248558,
217
+ "eval_pcc_3": 0.655665291158119,
218
+ "eval_runtime": 203.1919,
219
+ "eval_samples_per_second": 12.304,
220
+ "eval_steps_per_second": 1.54,
221
+ "step": 3443
222
+ },
223
+ {
224
+ "epoch": 11.18,
225
+ "learning_rate": 6.272630457933972e-06,
226
+ "loss": 0.8641,
227
+ "step": 3500
228
+ },
229
+ {
230
+ "epoch": 12.0,
231
+ "eval_loss": 1.179725170135498,
232
+ "eval_mse_0": 1.3889130353927612,
233
+ "eval_mse_1": 0.9846572279930115,
234
+ "eval_mse_2": 0.9835968613624573,
235
+ "eval_mse_3": 1.361733078956604,
236
+ "eval_pcc_0": 0.6626884650703191,
237
+ "eval_pcc_1": 0.7321900517085644,
238
+ "eval_pcc_2": 0.728170511532941,
239
+ "eval_pcc_3": 0.6781896265330651,
240
+ "eval_runtime": 210.3945,
241
+ "eval_samples_per_second": 11.882,
242
+ "eval_steps_per_second": 1.488,
243
+ "step": 3756
244
+ },
245
+ {
246
+ "epoch": 12.78,
247
+ "learning_rate": 5.7401490947816826e-06,
248
+ "loss": 0.833,
249
+ "step": 4000
250
+ },
251
+ {
252
+ "epoch": 13.0,
253
+ "eval_loss": 1.1307871341705322,
254
+ "eval_mse_0": 1.3401113748550415,
255
+ "eval_mse_1": 0.9279629588127136,
256
+ "eval_mse_2": 0.9595462083816528,
257
+ "eval_mse_3": 1.2955329418182373,
258
+ "eval_pcc_0": 0.6689292790071075,
259
+ "eval_pcc_1": 0.7383271729531051,
260
+ "eval_pcc_2": 0.7320943286242071,
261
+ "eval_pcc_3": 0.6855265374628569,
262
+ "eval_runtime": 202.9294,
263
+ "eval_samples_per_second": 12.32,
264
+ "eval_steps_per_second": 1.542,
265
+ "step": 4069
266
+ },
267
+ {
268
+ "epoch": 14.0,
269
+ "eval_loss": 1.1691124439239502,
270
+ "eval_mse_0": 1.3750510215759277,
271
+ "eval_mse_1": 0.9653419852256775,
272
+ "eval_mse_2": 0.9743927717208862,
273
+ "eval_mse_3": 1.361662745475769,
274
+ "eval_pcc_0": 0.6749380300367478,
275
+ "eval_pcc_1": 0.7455898706611583,
276
+ "eval_pcc_2": 0.7430198722570088,
277
+ "eval_pcc_3": 0.6915992434418081,
278
+ "eval_runtime": 202.9468,
279
+ "eval_samples_per_second": 12.318,
280
+ "eval_steps_per_second": 1.542,
281
+ "step": 4382
282
+ },
283
+ {
284
+ "epoch": 14.38,
285
+ "learning_rate": 5.207667731629393e-06,
286
+ "loss": 0.7832,
287
+ "step": 4500
288
+ },
289
+ {
290
+ "epoch": 15.0,
291
+ "eval_loss": 1.0932546854019165,
292
+ "eval_mse_0": 1.289063811302185,
293
+ "eval_mse_1": 0.9073979258537292,
294
+ "eval_mse_2": 0.9229546189308167,
295
+ "eval_mse_3": 1.253597378730774,
296
+ "eval_pcc_0": 0.6789636378061773,
297
+ "eval_pcc_1": 0.7472264571643817,
298
+ "eval_pcc_2": 0.7446864975682971,
299
+ "eval_pcc_3": 0.6944261831634843,
300
+ "eval_runtime": 202.7702,
301
+ "eval_samples_per_second": 12.329,
302
+ "eval_steps_per_second": 1.544,
303
+ "step": 4695
304
+ },
305
+ {
306
+ "epoch": 15.97,
307
+ "learning_rate": 4.675186368477103e-06,
308
+ "loss": 0.742,
309
+ "step": 5000
310
+ },
311
+ {
312
+ "epoch": 16.0,
313
+ "eval_loss": 1.1521117687225342,
314
+ "eval_mse_0": 1.3778270483016968,
315
+ "eval_mse_1": 0.9466921091079712,
316
+ "eval_mse_2": 0.9404878616333008,
317
+ "eval_mse_3": 1.3434394598007202,
318
+ "eval_pcc_0": 0.6741285039814312,
319
+ "eval_pcc_1": 0.7479661984813933,
320
+ "eval_pcc_2": 0.7469445401051306,
321
+ "eval_pcc_3": 0.6919052906905563,
322
+ "eval_runtime": 202.8971,
323
+ "eval_samples_per_second": 12.322,
324
+ "eval_steps_per_second": 1.543,
325
+ "step": 5008
326
+ },
327
+ {
328
+ "epoch": 17.0,
329
+ "eval_loss": 1.0943790674209595,
330
+ "eval_mse_0": 1.302241563796997,
331
+ "eval_mse_1": 0.902751088142395,
332
+ "eval_mse_2": 0.9067798852920532,
333
+ "eval_mse_3": 1.2657426595687866,
334
+ "eval_pcc_0": 0.6810487708192998,
335
+ "eval_pcc_1": 0.7500176759790266,
336
+ "eval_pcc_2": 0.7486362515517387,
337
+ "eval_pcc_3": 0.6972524049133376,
338
+ "eval_runtime": 203.6311,
339
+ "eval_samples_per_second": 12.277,
340
+ "eval_steps_per_second": 1.537,
341
+ "step": 5321
342
+ },
343
+ {
344
+ "epoch": 17.57,
345
+ "learning_rate": 4.142705005324814e-06,
346
+ "loss": 0.7185,
347
+ "step": 5500
348
+ },
349
+ {
350
+ "epoch": 18.0,
351
+ "eval_loss": 1.0697906017303467,
352
+ "eval_mse_0": 1.2646998167037964,
353
+ "eval_mse_1": 0.8821287155151367,
354
+ "eval_mse_2": 0.9013919830322266,
355
+ "eval_mse_3": 1.2309443950653076,
356
+ "eval_pcc_0": 0.6852081116865166,
357
+ "eval_pcc_1": 0.7525057715556226,
358
+ "eval_pcc_2": 0.7509136662257396,
359
+ "eval_pcc_3": 0.7006620286548182,
360
+ "eval_runtime": 203.6533,
361
+ "eval_samples_per_second": 12.276,
362
+ "eval_steps_per_second": 1.537,
363
+ "step": 5634
364
+ },
365
+ {
366
+ "epoch": 19.0,
367
+ "eval_loss": 1.1057201623916626,
368
+ "eval_mse_0": 1.3079144954681396,
369
+ "eval_mse_1": 0.9223601818084717,
370
+ "eval_mse_2": 0.9093884825706482,
371
+ "eval_mse_3": 1.2832152843475342,
372
+ "eval_pcc_0": 0.6862657383285174,
373
+ "eval_pcc_1": 0.7556456129660256,
374
+ "eval_pcc_2": 0.7571190868111386,
375
+ "eval_pcc_3": 0.7034618532757856,
376
+ "eval_runtime": 203.2442,
377
+ "eval_samples_per_second": 12.3,
378
+ "eval_steps_per_second": 1.54,
379
+ "step": 5947
380
+ },
381
+ {
382
+ "epoch": 19.17,
383
+ "learning_rate": 3.6102236421725247e-06,
384
+ "loss": 0.6893,
385
+ "step": 6000
386
+ },
387
+ {
388
+ "epoch": 20.0,
389
+ "eval_loss": 1.10100257396698,
390
+ "eval_mse_0": 1.3233023881912231,
391
+ "eval_mse_1": 0.9011407494544983,
392
+ "eval_mse_2": 0.8982234597206116,
393
+ "eval_mse_3": 1.2813421487808228,
394
+ "eval_pcc_0": 0.6819159089249017,
395
+ "eval_pcc_1": 0.7517299372382112,
396
+ "eval_pcc_2": 0.7528194511731832,
397
+ "eval_pcc_3": 0.6989106198951501,
398
+ "eval_runtime": 203.565,
399
+ "eval_samples_per_second": 12.281,
400
+ "eval_steps_per_second": 1.538,
401
+ "step": 6260
402
+ },
403
+ {
404
+ "epoch": 20.77,
405
+ "learning_rate": 3.0777422790202343e-06,
406
+ "loss": 0.6658,
407
+ "step": 6500
408
+ },
409
+ {
410
+ "epoch": 21.0,
411
+ "eval_loss": 1.0957356691360474,
412
+ "eval_mse_0": 1.3362116813659668,
413
+ "eval_mse_1": 0.8827068209648132,
414
+ "eval_mse_2": 0.885504961013794,
415
+ "eval_mse_3": 1.2785204648971558,
416
+ "eval_pcc_0": 0.680628697779889,
417
+ "eval_pcc_1": 0.7537818509480396,
418
+ "eval_pcc_2": 0.754908944347794,
419
+ "eval_pcc_3": 0.6988052791553623,
420
+ "eval_runtime": 218.0439,
421
+ "eval_samples_per_second": 11.466,
422
+ "eval_steps_per_second": 1.435,
423
+ "step": 6573
424
+ },
425
+ {
426
+ "epoch": 22.0,
427
+ "eval_loss": 1.0966740846633911,
428
+ "eval_mse_0": 1.32157301902771,
429
+ "eval_mse_1": 0.8951436281204224,
430
+ "eval_mse_2": 0.8909459710121155,
431
+ "eval_mse_3": 1.2790309190750122,
432
+ "eval_pcc_0": 0.6810520664221775,
433
+ "eval_pcc_1": 0.7539423199883235,
434
+ "eval_pcc_2": 0.7542814490884132,
435
+ "eval_pcc_3": 0.6987981671631167,
436
+ "eval_runtime": 203.24,
437
+ "eval_samples_per_second": 12.301,
438
+ "eval_steps_per_second": 1.54,
439
+ "step": 6886
440
+ },
441
+ {
442
+ "epoch": 22.36,
443
+ "learning_rate": 2.5452609158679447e-06,
444
+ "loss": 0.6526,
445
+ "step": 7000
446
+ },
447
+ {
448
+ "epoch": 23.0,
449
+ "eval_loss": 1.083720326423645,
450
+ "eval_mse_0": 1.3151943683624268,
451
+ "eval_mse_1": 0.8776894807815552,
452
+ "eval_mse_2": 0.8770623803138733,
453
+ "eval_mse_3": 1.2649331092834473,
454
+ "eval_pcc_0": 0.6842123557293225,
455
+ "eval_pcc_1": 0.756332720948954,
456
+ "eval_pcc_2": 0.7577995238455972,
457
+ "eval_pcc_3": 0.702366896719456,
458
+ "eval_runtime": 203.5325,
459
+ "eval_samples_per_second": 12.283,
460
+ "eval_steps_per_second": 1.538,
461
+ "step": 7199
462
+ },
463
+ {
464
+ "epoch": 23.96,
465
+ "learning_rate": 2.012779552715655e-06,
466
+ "loss": 0.6531,
467
+ "step": 7500
468
+ },
469
+ {
470
+ "epoch": 24.0,
471
+ "eval_loss": 1.0782527923583984,
472
+ "eval_mse_0": 1.312295913696289,
473
+ "eval_mse_1": 0.8694647550582886,
474
+ "eval_mse_2": 0.8759238123893738,
475
+ "eval_mse_3": 1.2553253173828125,
476
+ "eval_pcc_0": 0.6857522164751878,
477
+ "eval_pcc_1": 0.759346756347098,
478
+ "eval_pcc_2": 0.7607800582151766,
479
+ "eval_pcc_3": 0.7048817341886087,
480
+ "eval_runtime": 203.6628,
481
+ "eval_samples_per_second": 12.275,
482
+ "eval_steps_per_second": 1.537,
483
+ "step": 7512
484
+ },
485
+ {
486
+ "epoch": 25.0,
487
+ "eval_loss": 1.07210111618042,
488
+ "eval_mse_0": 1.3089362382888794,
489
+ "eval_mse_1": 0.8625428676605225,
490
+ "eval_mse_2": 0.8729068636894226,
491
+ "eval_mse_3": 1.2440167665481567,
492
+ "eval_pcc_0": 0.6852372358039052,
493
+ "eval_pcc_1": 0.7598475908517249,
494
+ "eval_pcc_2": 0.7609290750485831,
495
+ "eval_pcc_3": 0.7044899253802238,
496
+ "eval_runtime": 203.4179,
497
+ "eval_samples_per_second": 12.29,
498
+ "eval_steps_per_second": 1.539,
499
+ "step": 7825
500
+ },
501
+ {
502
+ "epoch": 25.56,
503
+ "learning_rate": 1.4802981895633654e-06,
504
+ "loss": 0.634,
505
+ "step": 8000
506
+ },
507
+ {
508
+ "epoch": 26.0,
509
+ "eval_loss": 1.0625019073486328,
510
+ "eval_mse_0": 1.288314700126648,
511
+ "eval_mse_1": 0.861156165599823,
512
+ "eval_mse_2": 0.8685433864593506,
513
+ "eval_mse_3": 1.2319947481155396,
514
+ "eval_pcc_0": 0.686111757779938,
515
+ "eval_pcc_1": 0.7589608454379306,
516
+ "eval_pcc_2": 0.7603087630609361,
517
+ "eval_pcc_3": 0.7045669997269809,
518
+ "eval_runtime": 203.454,
519
+ "eval_samples_per_second": 12.288,
520
+ "eval_steps_per_second": 1.538,
521
+ "step": 8138
522
+ },
523
+ {
524
+ "epoch": 27.0,
525
+ "eval_loss": 1.0610527992248535,
526
+ "eval_mse_0": 1.282828450202942,
527
+ "eval_mse_1": 0.8629063367843628,
528
+ "eval_mse_2": 0.8696379661560059,
529
+ "eval_mse_3": 1.2288366556167603,
530
+ "eval_pcc_0": 0.6852411835942828,
531
+ "eval_pcc_1": 0.7583895761389947,
532
+ "eval_pcc_2": 0.7597067873285279,
533
+ "eval_pcc_3": 0.70371582773465,
534
+ "eval_runtime": 203.591,
535
+ "eval_samples_per_second": 12.28,
536
+ "eval_steps_per_second": 1.537,
537
+ "step": 8451
538
+ },
539
+ {
540
+ "epoch": 27.16,
541
+ "learning_rate": 9.478168264110757e-07,
542
+ "loss": 0.61,
543
+ "step": 8500
544
+ },
545
+ {
546
+ "epoch": 28.0,
547
+ "eval_loss": 1.062330722808838,
548
+ "eval_mse_0": 1.2870919704437256,
549
+ "eval_mse_1": 0.8616698384284973,
550
+ "eval_mse_2": 0.8681812286376953,
551
+ "eval_mse_3": 1.2323803901672363,
552
+ "eval_pcc_0": 0.6854279959984694,
553
+ "eval_pcc_1": 0.7588494733710003,
554
+ "eval_pcc_2": 0.7604017612939257,
555
+ "eval_pcc_3": 0.7041986226570947,
556
+ "eval_runtime": 203.5945,
557
+ "eval_samples_per_second": 12.279,
558
+ "eval_steps_per_second": 1.537,
559
+ "step": 8764
560
+ },
561
+ {
562
+ "epoch": 28.75,
563
+ "learning_rate": 4.1533546325878595e-07,
564
+ "loss": 0.6029,
565
+ "step": 9000
566
+ },
567
+ {
568
+ "epoch": 29.0,
569
+ "eval_loss": 1.067120909690857,
570
+ "eval_mse_0": 1.2960582971572876,
571
+ "eval_mse_1": 0.8634568452835083,
572
+ "eval_mse_2": 0.868851363658905,
573
+ "eval_mse_3": 1.240116000175476,
574
+ "eval_pcc_0": 0.6853392267802676,
575
+ "eval_pcc_1": 0.7589099331256576,
576
+ "eval_pcc_2": 0.7606892686277734,
577
+ "eval_pcc_3": 0.704235141249362,
578
+ "eval_runtime": 203.5285,
579
+ "eval_samples_per_second": 12.283,
580
+ "eval_steps_per_second": 1.538,
581
+ "step": 9077
582
+ },
583
+ {
584
+ "epoch": 30.0,
585
+ "eval_loss": 1.0636274814605713,
586
+ "eval_mse_0": 1.291344404220581,
587
+ "eval_mse_1": 0.8609154224395752,
588
+ "eval_mse_2": 0.8673214912414551,
589
+ "eval_mse_3": 1.2349287271499634,
590
+ "eval_pcc_0": 0.6857904234808526,
591
+ "eval_pcc_1": 0.7593770185673134,
592
+ "eval_pcc_2": 0.7611637554520289,
593
+ "eval_pcc_3": 0.7046817934160569,
594
+ "eval_runtime": 203.4868,
595
+ "eval_samples_per_second": 12.286,
596
+ "eval_steps_per_second": 1.538,
597
+ "step": 9390
598
+ },
599
+ {
600
+ "epoch": 30.0,
601
+ "step": 9390,
602
+ "total_flos": 0.0,
603
+ "train_loss": 2.660792814504605,
604
+ "train_runtime": 20639.7022,
605
+ "train_samples_per_second": 3.634,
606
+ "train_steps_per_second": 0.455
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/ctc/08_hubert-xlarge-ll60k/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:55527e397f853b810616ba12cb1c257bc568411c56d14cbc3c10884740f9f1b7
3
+ size 4792