Upload folder using huggingface_hub

#38
by haeylee - opened
hubert/ctc/09_hubert-xlarge-ls960-ft/all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "eval_loss": 1.0285080671310425,
4
+ "eval_mse_0": 1.2710857391357422,
5
+ "eval_mse_1": 0.8113386034965515,
6
+ "eval_mse_2": 0.8502917289733887,
7
+ "eval_mse_3": 1.1813127994537354,
8
+ "eval_pcc_0": 0.7187760622799816,
9
+ "eval_pcc_1": 0.7966815578451035,
10
+ "eval_pcc_2": 0.7880753758720686,
11
+ "eval_pcc_3": 0.7343475719122529,
12
+ "eval_runtime": 209.2133,
13
+ "eval_samples": 2500,
14
+ "eval_samples_per_second": 11.95,
15
+ "eval_steps_per_second": 1.496,
16
+ "train_loss": 0.8967580890757081,
17
+ "train_runtime": 20656.0843,
18
+ "train_samples": 2500,
19
+ "train_samples_per_second": 3.631,
20
+ "train_steps_per_second": 0.455
21
+ }
hubert/ctc/09_hubert-xlarge-ls960-ft/args.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "batch_size": 4,
3
+ "model_name": "facebook/hubert-xlarge-ls960-ft",
4
+ "learning_rate": 1e-05,
5
+ "num_train_epochs": 30,
6
+ "save_dir": "./ctc/model_saved",
7
+ "freeze_feature_extractor": false,
8
+ "exp_name": "facebook/hubert-xlarge-ls960-ft_lr1e-05_epochs30_batch4",
9
+ "save_dir_path": "./ctc/model_saved/facebook/hubert-xlarge-ls960-ft_lr1e-05_epochs30_batch4",
10
+ "save_log_path": "./ctc/model_saved/logs/facebook/hubert-xlarge-ls960-ft_lr1e-05_epochs30_batch4"
11
+ }
hubert/ctc/09_hubert-xlarge-ls960-ft/eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "eval_loss": 1.0285080671310425,
4
+ "eval_mse_0": 1.2710857391357422,
5
+ "eval_mse_1": 0.8113386034965515,
6
+ "eval_mse_2": 0.8502917289733887,
7
+ "eval_mse_3": 1.1813127994537354,
8
+ "eval_pcc_0": 0.7187760622799816,
9
+ "eval_pcc_1": 0.7966815578451035,
10
+ "eval_pcc_2": 0.7880753758720686,
11
+ "eval_pcc_3": 0.7343475719122529,
12
+ "eval_runtime": 209.2133,
13
+ "eval_samples": 2500,
14
+ "eval_samples_per_second": 11.95,
15
+ "eval_steps_per_second": 1.496
16
+ }
hubert/ctc/09_hubert-xlarge-ls960-ft/finetuned_pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a6091e736eac0f184b32bce7605df806bfc5953ab1fe46dab4bb3a48e6c52430
3
+ size 3850503230
hubert/ctc/09_hubert-xlarge-ls960-ft/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ada9054cfc3e8206eae20cf991ebb516e20e0ee36405d24543772a9c65b5461
3
+ size 3850258896
hubert/ctc/09_hubert-xlarge-ls960-ft/model_weights.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f1c25ecc1788060973e9542a3b79afccbd5673368775ea1d77950f4434d7ea53
3
+ size 3850495026
hubert/ctc/09_hubert-xlarge-ls960-ft/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/09_hubert-xlarge-ls960-ft/train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 30.0,
3
+ "train_loss": 0.8967580890757081,
4
+ "train_runtime": 20656.0843,
5
+ "train_samples": 2500,
6
+ "train_samples_per_second": 3.631,
7
+ "train_steps_per_second": 0.455
8
+ }
hubert/ctc/09_hubert-xlarge-ls960-ft/trainer_args.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"output_dir": "./ctc/model_saved/facebook/hubert-xlarge-ls960-ft_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": "./ctc/model_saved/logs/facebook/hubert-xlarge-ls960-ft_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": "./ctc/model_saved/facebook/hubert-xlarge-ls960-ft_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/09_hubert-xlarge-ls960-ft/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": 1.7604542970657349,
14
+ "eval_mse_0": 2.2891268730163574,
15
+ "eval_mse_1": 1.3835554122924805,
16
+ "eval_mse_2": 1.4830454587936401,
17
+ "eval_mse_3": 1.8860870599746704,
18
+ "eval_pcc_0": 0.5949950107509543,
19
+ "eval_pcc_1": 0.6690888754674116,
20
+ "eval_pcc_2": 0.6761228310172515,
21
+ "eval_pcc_3": 0.6185151101800396,
22
+ "eval_runtime": 209.8988,
23
+ "eval_samples_per_second": 11.91,
24
+ "eval_steps_per_second": 1.491,
25
+ "step": 313
26
+ },
27
+ {
28
+ "epoch": 1.6,
29
+ "learning_rate": 9.467518636847711e-06,
30
+ "loss": 8.2296,
31
+ "step": 500
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_loss": 1.8357867002487183,
36
+ "eval_mse_0": 2.211723566055298,
37
+ "eval_mse_1": 1.360002875328064,
38
+ "eval_mse_2": 1.4621888399124146,
39
+ "eval_mse_3": 2.3092284202575684,
40
+ "eval_pcc_0": 0.6682445908306366,
41
+ "eval_pcc_1": 0.7357637021511422,
42
+ "eval_pcc_2": 0.7398762227436718,
43
+ "eval_pcc_3": 0.6934009818934106,
44
+ "eval_runtime": 209.4245,
45
+ "eval_samples_per_second": 11.937,
46
+ "eval_steps_per_second": 1.495,
47
+ "step": 626
48
+ },
49
+ {
50
+ "epoch": 3.0,
51
+ "eval_loss": 1.1838189363479614,
52
+ "eval_mse_0": 1.4407283067703247,
53
+ "eval_mse_1": 0.9233540892601013,
54
+ "eval_mse_2": 0.9905136823654175,
55
+ "eval_mse_3": 1.3806804418563843,
56
+ "eval_pcc_0": 0.7018946460129335,
57
+ "eval_pcc_1": 0.7605681115601083,
58
+ "eval_pcc_2": 0.7613766180820963,
59
+ "eval_pcc_3": 0.7176544341885177,
60
+ "eval_runtime": 209.3913,
61
+ "eval_samples_per_second": 11.939,
62
+ "eval_steps_per_second": 1.495,
63
+ "step": 939
64
+ },
65
+ {
66
+ "epoch": 3.19,
67
+ "learning_rate": 8.935037273695422e-06,
68
+ "loss": 0.9009,
69
+ "step": 1000
70
+ },
71
+ {
72
+ "epoch": 4.0,
73
+ "eval_loss": 1.2771263122558594,
74
+ "eval_mse_0": 1.6051421165466309,
75
+ "eval_mse_1": 1.0666706562042236,
76
+ "eval_mse_2": 0.9894477725028992,
77
+ "eval_mse_3": 1.4472445249557495,
78
+ "eval_pcc_0": 0.7059142647273454,
79
+ "eval_pcc_1": 0.7775537888797579,
80
+ "eval_pcc_2": 0.7758972783171784,
81
+ "eval_pcc_3": 0.7284269184529911,
82
+ "eval_runtime": 211.1016,
83
+ "eval_samples_per_second": 11.843,
84
+ "eval_steps_per_second": 1.483,
85
+ "step": 1252
86
+ },
87
+ {
88
+ "epoch": 4.79,
89
+ "learning_rate": 8.402555910543132e-06,
90
+ "loss": 0.7335,
91
+ "step": 1500
92
+ },
93
+ {
94
+ "epoch": 5.0,
95
+ "eval_loss": 1.013259768486023,
96
+ "eval_mse_0": 1.1845321655273438,
97
+ "eval_mse_1": 0.8382721543312073,
98
+ "eval_mse_2": 0.8471496105194092,
99
+ "eval_mse_3": 1.1830846071243286,
100
+ "eval_pcc_0": 0.7220314248320598,
101
+ "eval_pcc_1": 0.7810873843585969,
102
+ "eval_pcc_2": 0.7820128992327345,
103
+ "eval_pcc_3": 0.7360157064832683,
104
+ "eval_runtime": 208.3778,
105
+ "eval_samples_per_second": 11.997,
106
+ "eval_steps_per_second": 1.502,
107
+ "step": 1565
108
+ },
109
+ {
110
+ "epoch": 6.0,
111
+ "eval_loss": 1.1153326034545898,
112
+ "eval_mse_0": 1.3304675817489624,
113
+ "eval_mse_1": 0.967021107673645,
114
+ "eval_mse_2": 0.8986290097236633,
115
+ "eval_mse_3": 1.2652109861373901,
116
+ "eval_pcc_0": 0.7191154392641586,
117
+ "eval_pcc_1": 0.7844691588297669,
118
+ "eval_pcc_2": 0.7834242944128317,
119
+ "eval_pcc_3": 0.734926089754088,
120
+ "eval_runtime": 208.9096,
121
+ "eval_samples_per_second": 11.967,
122
+ "eval_steps_per_second": 1.498,
123
+ "step": 1878
124
+ },
125
+ {
126
+ "epoch": 6.39,
127
+ "learning_rate": 7.870074547390843e-06,
128
+ "loss": 0.6582,
129
+ "step": 2000
130
+ },
131
+ {
132
+ "epoch": 7.0,
133
+ "eval_loss": 0.9920685291290283,
134
+ "eval_mse_0": 1.188461184501648,
135
+ "eval_mse_1": 0.797171413898468,
136
+ "eval_mse_2": 0.8041291236877441,
137
+ "eval_mse_3": 1.178512454032898,
138
+ "eval_pcc_0": 0.7178300854644514,
139
+ "eval_pcc_1": 0.7843874006734662,
140
+ "eval_pcc_2": 0.7816055307992213,
141
+ "eval_pcc_3": 0.7321382541990243,
142
+ "eval_runtime": 208.3569,
143
+ "eval_samples_per_second": 11.999,
144
+ "eval_steps_per_second": 1.502,
145
+ "step": 2191
146
+ },
147
+ {
148
+ "epoch": 7.99,
149
+ "learning_rate": 7.337593184238552e-06,
150
+ "loss": 0.61,
151
+ "step": 2500
152
+ },
153
+ {
154
+ "epoch": 8.0,
155
+ "eval_loss": 1.1334257125854492,
156
+ "eval_mse_0": 1.3587603569030762,
157
+ "eval_mse_1": 0.9839173555374146,
158
+ "eval_mse_2": 0.8571197390556335,
159
+ "eval_mse_3": 1.3339046239852905,
160
+ "eval_pcc_0": 0.7222960062328075,
161
+ "eval_pcc_1": 0.7918217852018566,
162
+ "eval_pcc_2": 0.7890134850847228,
163
+ "eval_pcc_3": 0.7406291667967669,
164
+ "eval_runtime": 208.9586,
165
+ "eval_samples_per_second": 11.964,
166
+ "eval_steps_per_second": 1.498,
167
+ "step": 2504
168
+ },
169
+ {
170
+ "epoch": 9.0,
171
+ "eval_loss": 1.0356388092041016,
172
+ "eval_mse_0": 1.2761818170547485,
173
+ "eval_mse_1": 0.8244701027870178,
174
+ "eval_mse_2": 0.8450726270675659,
175
+ "eval_mse_3": 1.1968308687210083,
176
+ "eval_pcc_0": 0.7158327269721199,
177
+ "eval_pcc_1": 0.7887012663328065,
178
+ "eval_pcc_2": 0.7828718656643849,
179
+ "eval_pcc_3": 0.7324949959695232,
180
+ "eval_runtime": 208.4544,
181
+ "eval_samples_per_second": 11.993,
182
+ "eval_steps_per_second": 1.502,
183
+ "step": 2817
184
+ },
185
+ {
186
+ "epoch": 9.58,
187
+ "learning_rate": 6.805111821086262e-06,
188
+ "loss": 0.558,
189
+ "step": 3000
190
+ },
191
+ {
192
+ "epoch": 10.0,
193
+ "eval_loss": 1.0064268112182617,
194
+ "eval_mse_0": 1.2265743017196655,
195
+ "eval_mse_1": 0.7974323630332947,
196
+ "eval_mse_2": 0.8605502247810364,
197
+ "eval_mse_3": 1.1411466598510742,
198
+ "eval_pcc_0": 0.7194697476611159,
199
+ "eval_pcc_1": 0.7879356525339981,
200
+ "eval_pcc_2": 0.7825310225961822,
201
+ "eval_pcc_3": 0.7338939460552648,
202
+ "eval_runtime": 208.7012,
203
+ "eval_samples_per_second": 11.979,
204
+ "eval_steps_per_second": 1.5,
205
+ "step": 3130
206
+ },
207
+ {
208
+ "epoch": 11.0,
209
+ "eval_loss": 1.0203851461410522,
210
+ "eval_mse_0": 1.2474987506866455,
211
+ "eval_mse_1": 0.7733442187309265,
212
+ "eval_mse_2": 0.8386961221694946,
213
+ "eval_mse_3": 1.2220022678375244,
214
+ "eval_pcc_0": 0.7227682523187445,
215
+ "eval_pcc_1": 0.7982387874431719,
216
+ "eval_pcc_2": 0.7927393301459043,
217
+ "eval_pcc_3": 0.7395565264308681,
218
+ "eval_runtime": 208.389,
219
+ "eval_samples_per_second": 11.997,
220
+ "eval_steps_per_second": 1.502,
221
+ "step": 3443
222
+ },
223
+ {
224
+ "epoch": 11.18,
225
+ "learning_rate": 6.272630457933972e-06,
226
+ "loss": 0.521,
227
+ "step": 3500
228
+ },
229
+ {
230
+ "epoch": 12.0,
231
+ "eval_loss": 1.047383427619934,
232
+ "eval_mse_0": 1.2933303117752075,
233
+ "eval_mse_1": 0.8162205815315247,
234
+ "eval_mse_2": 0.8277409076690674,
235
+ "eval_mse_3": 1.2522428035736084,
236
+ "eval_pcc_0": 0.7217570447433742,
237
+ "eval_pcc_1": 0.7925934732628623,
238
+ "eval_pcc_2": 0.7879495997288596,
239
+ "eval_pcc_3": 0.7361480726438472,
240
+ "eval_runtime": 208.4447,
241
+ "eval_samples_per_second": 11.994,
242
+ "eval_steps_per_second": 1.502,
243
+ "step": 3756
244
+ },
245
+ {
246
+ "epoch": 12.78,
247
+ "learning_rate": 5.7401490947816826e-06,
248
+ "loss": 0.4827,
249
+ "step": 4000
250
+ },
251
+ {
252
+ "epoch": 13.0,
253
+ "eval_loss": 1.133775234222412,
254
+ "eval_mse_0": 1.3003195524215698,
255
+ "eval_mse_1": 1.026171088218689,
256
+ "eval_mse_2": 0.9799304008483887,
257
+ "eval_mse_3": 1.2286752462387085,
258
+ "eval_pcc_0": 0.7179022866715287,
259
+ "eval_pcc_1": 0.7876187047135141,
260
+ "eval_pcc_2": 0.7823654487873046,
261
+ "eval_pcc_3": 0.7320379928488189,
262
+ "eval_runtime": 208.3722,
263
+ "eval_samples_per_second": 11.998,
264
+ "eval_steps_per_second": 1.502,
265
+ "step": 4069
266
+ },
267
+ {
268
+ "epoch": 14.0,
269
+ "eval_loss": 1.0516111850738525,
270
+ "eval_mse_0": 1.2931753396987915,
271
+ "eval_mse_1": 0.8838064670562744,
272
+ "eval_mse_2": 0.8298025131225586,
273
+ "eval_mse_3": 1.1996608972549438,
274
+ "eval_pcc_0": 0.7221738534470319,
275
+ "eval_pcc_1": 0.792441337992792,
276
+ "eval_pcc_2": 0.7871210686536287,
277
+ "eval_pcc_3": 0.7372780501327556,
278
+ "eval_runtime": 208.9007,
279
+ "eval_samples_per_second": 11.967,
280
+ "eval_steps_per_second": 1.498,
281
+ "step": 4382
282
+ },
283
+ {
284
+ "epoch": 14.38,
285
+ "learning_rate": 5.207667731629393e-06,
286
+ "loss": 0.4729,
287
+ "step": 4500
288
+ },
289
+ {
290
+ "epoch": 15.0,
291
+ "eval_loss": 1.0624889135360718,
292
+ "eval_mse_0": 1.2347221374511719,
293
+ "eval_mse_1": 0.9299283027648926,
294
+ "eval_mse_2": 0.9029843807220459,
295
+ "eval_mse_3": 1.1823203563690186,
296
+ "eval_pcc_0": 0.7235235571215815,
297
+ "eval_pcc_1": 0.7925054644282444,
298
+ "eval_pcc_2": 0.7877609910773938,
299
+ "eval_pcc_3": 0.7376391961595067,
300
+ "eval_runtime": 208.3877,
301
+ "eval_samples_per_second": 11.997,
302
+ "eval_steps_per_second": 1.502,
303
+ "step": 4695
304
+ },
305
+ {
306
+ "epoch": 15.97,
307
+ "learning_rate": 4.675186368477103e-06,
308
+ "loss": 0.4256,
309
+ "step": 5000
310
+ },
311
+ {
312
+ "epoch": 16.0,
313
+ "eval_loss": 1.0295990705490112,
314
+ "eval_mse_0": 1.2828537225723267,
315
+ "eval_mse_1": 0.8042919039726257,
316
+ "eval_mse_2": 0.8219324946403503,
317
+ "eval_mse_3": 1.2093201875686646,
318
+ "eval_pcc_0": 0.7198396446229315,
319
+ "eval_pcc_1": 0.792083832658487,
320
+ "eval_pcc_2": 0.7868061270983931,
321
+ "eval_pcc_3": 0.7337071079854925,
322
+ "eval_runtime": 208.6005,
323
+ "eval_samples_per_second": 11.985,
324
+ "eval_steps_per_second": 1.5,
325
+ "step": 5008
326
+ },
327
+ {
328
+ "epoch": 17.0,
329
+ "eval_loss": 1.0699937343597412,
330
+ "eval_mse_0": 1.3057812452316284,
331
+ "eval_mse_1": 0.8312128782272339,
332
+ "eval_mse_2": 0.9018996953964233,
333
+ "eval_mse_3": 1.2410811185836792,
334
+ "eval_pcc_0": 0.7231245665785527,
335
+ "eval_pcc_1": 0.7930446914091678,
336
+ "eval_pcc_2": 0.7859261139462301,
337
+ "eval_pcc_3": 0.7363907316508812,
338
+ "eval_runtime": 208.3877,
339
+ "eval_samples_per_second": 11.997,
340
+ "eval_steps_per_second": 1.502,
341
+ "step": 5321
342
+ },
343
+ {
344
+ "epoch": 17.57,
345
+ "learning_rate": 4.142705005324814e-06,
346
+ "loss": 0.4125,
347
+ "step": 5500
348
+ },
349
+ {
350
+ "epoch": 18.0,
351
+ "eval_loss": 1.0604360103607178,
352
+ "eval_mse_0": 1.417197823524475,
353
+ "eval_mse_1": 0.7857402563095093,
354
+ "eval_mse_2": 0.8151865005493164,
355
+ "eval_mse_3": 1.223620891571045,
356
+ "eval_pcc_0": 0.719599052787515,
357
+ "eval_pcc_1": 0.7948456747947626,
358
+ "eval_pcc_2": 0.7873693601018915,
359
+ "eval_pcc_3": 0.735322395766516,
360
+ "eval_runtime": 208.719,
361
+ "eval_samples_per_second": 11.978,
362
+ "eval_steps_per_second": 1.5,
363
+ "step": 5634
364
+ },
365
+ {
366
+ "epoch": 19.0,
367
+ "eval_loss": 0.9978102445602417,
368
+ "eval_mse_0": 1.2328013181686401,
369
+ "eval_mse_1": 0.7908715009689331,
370
+ "eval_mse_2": 0.8256710171699524,
371
+ "eval_mse_3": 1.141896367073059,
372
+ "eval_pcc_0": 0.7233352263233708,
373
+ "eval_pcc_1": 0.7955153410239142,
374
+ "eval_pcc_2": 0.7886118783652329,
375
+ "eval_pcc_3": 0.7387880075588535,
376
+ "eval_runtime": 208.625,
377
+ "eval_samples_per_second": 11.983,
378
+ "eval_steps_per_second": 1.5,
379
+ "step": 5947
380
+ },
381
+ {
382
+ "epoch": 19.17,
383
+ "learning_rate": 3.6102236421725247e-06,
384
+ "loss": 0.408,
385
+ "step": 6000
386
+ },
387
+ {
388
+ "epoch": 20.0,
389
+ "eval_loss": 1.0034513473510742,
390
+ "eval_mse_0": 1.271166205406189,
391
+ "eval_mse_1": 0.7616897225379944,
392
+ "eval_mse_2": 0.798088788986206,
393
+ "eval_mse_3": 1.1828594207763672,
394
+ "eval_pcc_0": 0.7158333707506873,
395
+ "eval_pcc_1": 0.7980149681944232,
396
+ "eval_pcc_2": 0.7903887242443307,
397
+ "eval_pcc_3": 0.733952342512612,
398
+ "eval_runtime": 209.1487,
399
+ "eval_samples_per_second": 11.953,
400
+ "eval_steps_per_second": 1.497,
401
+ "step": 6260
402
+ },
403
+ {
404
+ "epoch": 20.77,
405
+ "learning_rate": 3.0777422790202343e-06,
406
+ "loss": 0.3933,
407
+ "step": 6500
408
+ },
409
+ {
410
+ "epoch": 21.0,
411
+ "eval_loss": 1.0128971338272095,
412
+ "eval_mse_0": 1.2781158685684204,
413
+ "eval_mse_1": 0.7844489812850952,
414
+ "eval_mse_2": 0.8275609612464905,
415
+ "eval_mse_3": 1.1614614725112915,
416
+ "eval_pcc_0": 0.7171888316949959,
417
+ "eval_pcc_1": 0.7979542917618553,
418
+ "eval_pcc_2": 0.7908615541342248,
419
+ "eval_pcc_3": 0.7340458194168231,
420
+ "eval_runtime": 208.5853,
421
+ "eval_samples_per_second": 11.986,
422
+ "eval_steps_per_second": 1.501,
423
+ "step": 6573
424
+ },
425
+ {
426
+ "epoch": 22.0,
427
+ "eval_loss": 1.0257415771484375,
428
+ "eval_mse_0": 1.2726078033447266,
429
+ "eval_mse_1": 0.798060953617096,
430
+ "eval_mse_2": 0.87810879945755,
431
+ "eval_mse_3": 1.1541907787322998,
432
+ "eval_pcc_0": 0.7157861802878516,
433
+ "eval_pcc_1": 0.7956912115918899,
434
+ "eval_pcc_2": 0.788469660815682,
435
+ "eval_pcc_3": 0.7329414127759406,
436
+ "eval_runtime": 208.8719,
437
+ "eval_samples_per_second": 11.969,
438
+ "eval_steps_per_second": 1.499,
439
+ "step": 6886
440
+ },
441
+ {
442
+ "epoch": 22.36,
443
+ "learning_rate": 2.5452609158679447e-06,
444
+ "loss": 0.3771,
445
+ "step": 7000
446
+ },
447
+ {
448
+ "epoch": 23.0,
449
+ "eval_loss": 1.0453354120254517,
450
+ "eval_mse_0": 1.2379229068756104,
451
+ "eval_mse_1": 0.8579115271568298,
452
+ "eval_mse_2": 0.9011425971984863,
453
+ "eval_mse_3": 1.1843643188476562,
454
+ "eval_pcc_0": 0.7206315686829957,
455
+ "eval_pcc_1": 0.7958260398687528,
456
+ "eval_pcc_2": 0.7881329938884019,
457
+ "eval_pcc_3": 0.7346575150007393,
458
+ "eval_runtime": 208.5854,
459
+ "eval_samples_per_second": 11.986,
460
+ "eval_steps_per_second": 1.501,
461
+ "step": 7199
462
+ },
463
+ {
464
+ "epoch": 23.96,
465
+ "learning_rate": 2.012779552715655e-06,
466
+ "loss": 0.3658,
467
+ "step": 7500
468
+ },
469
+ {
470
+ "epoch": 24.0,
471
+ "eval_loss": 1.0164525508880615,
472
+ "eval_mse_0": 1.2356749773025513,
473
+ "eval_mse_1": 0.8079164028167725,
474
+ "eval_mse_2": 0.8315185308456421,
475
+ "eval_mse_3": 1.1907004117965698,
476
+ "eval_pcc_0": 0.7230764531548024,
477
+ "eval_pcc_1": 0.7967303359103496,
478
+ "eval_pcc_2": 0.7882004474676807,
479
+ "eval_pcc_3": 0.7364224170170541,
480
+ "eval_runtime": 208.7929,
481
+ "eval_samples_per_second": 11.974,
482
+ "eval_steps_per_second": 1.499,
483
+ "step": 7512
484
+ },
485
+ {
486
+ "epoch": 25.0,
487
+ "eval_loss": 1.0428879261016846,
488
+ "eval_mse_0": 1.316085696220398,
489
+ "eval_mse_1": 0.8296839594841003,
490
+ "eval_mse_2": 0.8361263871192932,
491
+ "eval_mse_3": 1.1896562576293945,
492
+ "eval_pcc_0": 0.7194161454664743,
493
+ "eval_pcc_1": 0.7958110988096722,
494
+ "eval_pcc_2": 0.7871496601733409,
495
+ "eval_pcc_3": 0.734582701567013,
496
+ "eval_runtime": 208.3025,
497
+ "eval_samples_per_second": 12.002,
498
+ "eval_steps_per_second": 1.503,
499
+ "step": 7825
500
+ },
501
+ {
502
+ "epoch": 25.56,
503
+ "learning_rate": 1.4802981895633654e-06,
504
+ "loss": 0.3543,
505
+ "step": 8000
506
+ },
507
+ {
508
+ "epoch": 26.0,
509
+ "eval_loss": 1.0259170532226562,
510
+ "eval_mse_0": 1.2972633838653564,
511
+ "eval_mse_1": 0.7949677109718323,
512
+ "eval_mse_2": 0.8365034461021423,
513
+ "eval_mse_3": 1.1749347448349,
514
+ "eval_pcc_0": 0.7194368574298652,
515
+ "eval_pcc_1": 0.7955950565920835,
516
+ "eval_pcc_2": 0.7873632613095414,
517
+ "eval_pcc_3": 0.7349721995703357,
518
+ "eval_runtime": 208.8052,
519
+ "eval_samples_per_second": 11.973,
520
+ "eval_steps_per_second": 1.499,
521
+ "step": 8138
522
+ },
523
+ {
524
+ "epoch": 27.0,
525
+ "eval_loss": 1.0281763076782227,
526
+ "eval_mse_0": 1.1985270977020264,
527
+ "eval_mse_1": 0.8656768798828125,
528
+ "eval_mse_2": 0.8898044228553772,
529
+ "eval_mse_3": 1.1586942672729492,
530
+ "eval_pcc_0": 0.7197179608986528,
531
+ "eval_pcc_1": 0.7964511206909821,
532
+ "eval_pcc_2": 0.7879550281969636,
533
+ "eval_pcc_3": 0.7354344501757079,
534
+ "eval_runtime": 208.4407,
535
+ "eval_samples_per_second": 11.994,
536
+ "eval_steps_per_second": 1.502,
537
+ "step": 8451
538
+ },
539
+ {
540
+ "epoch": 27.16,
541
+ "learning_rate": 9.478168264110757e-07,
542
+ "loss": 0.3335,
543
+ "step": 8500
544
+ },
545
+ {
546
+ "epoch": 28.0,
547
+ "eval_loss": 1.0045982599258423,
548
+ "eval_mse_0": 1.2505394220352173,
549
+ "eval_mse_1": 0.7828913331031799,
550
+ "eval_mse_2": 0.8181142807006836,
551
+ "eval_mse_3": 1.166848063468933,
552
+ "eval_pcc_0": 0.7200083665099367,
553
+ "eval_pcc_1": 0.7965623791617499,
554
+ "eval_pcc_2": 0.7880405390944626,
555
+ "eval_pcc_3": 0.7352189154878063,
556
+ "eval_runtime": 208.5843,
557
+ "eval_samples_per_second": 11.986,
558
+ "eval_steps_per_second": 1.501,
559
+ "step": 8764
560
+ },
561
+ {
562
+ "epoch": 28.75,
563
+ "learning_rate": 4.1533546325878595e-07,
564
+ "loss": 0.3339,
565
+ "step": 9000
566
+ },
567
+ {
568
+ "epoch": 29.0,
569
+ "eval_loss": 1.0302956104278564,
570
+ "eval_mse_0": 1.2489368915557861,
571
+ "eval_mse_1": 0.8331665992736816,
572
+ "eval_mse_2": 0.8591735363006592,
573
+ "eval_mse_3": 1.1799054145812988,
574
+ "eval_pcc_0": 0.7194748370263948,
575
+ "eval_pcc_1": 0.796604271734207,
576
+ "eval_pcc_2": 0.7879863900669919,
577
+ "eval_pcc_3": 0.7348973012646607,
578
+ "eval_runtime": 208.4581,
579
+ "eval_samples_per_second": 11.993,
580
+ "eval_steps_per_second": 1.502,
581
+ "step": 9077
582
+ },
583
+ {
584
+ "epoch": 30.0,
585
+ "eval_loss": 1.0285080671310425,
586
+ "eval_mse_0": 1.2710857391357422,
587
+ "eval_mse_1": 0.8113386034965515,
588
+ "eval_mse_2": 0.8502917289733887,
589
+ "eval_mse_3": 1.1813127994537354,
590
+ "eval_pcc_0": 0.7187760622799816,
591
+ "eval_pcc_1": 0.7966815578451035,
592
+ "eval_pcc_2": 0.7880753758720686,
593
+ "eval_pcc_3": 0.7343475719122529,
594
+ "eval_runtime": 208.7552,
595
+ "eval_samples_per_second": 11.976,
596
+ "eval_steps_per_second": 1.499,
597
+ "step": 9390
598
+ },
599
+ {
600
+ "epoch": 30.0,
601
+ "step": 9390,
602
+ "total_flos": 0.0,
603
+ "train_loss": 0.8967580890757081,
604
+ "train_runtime": 20656.0843,
605
+ "train_samples_per_second": 3.631,
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/09_hubert-xlarge-ls960-ft/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a10ddf01b270a5cb50779d6f6ba5be82c0172f7f723692dc1849205404948f2
3
+ size 4792