Upload folder using huggingface_hub (#47)
Browse files- Upload folder using huggingface_hub (0285b39ad619b789f4506379b23d89c5a3067e82)
- hubert/freeze/08_hubert-xlarge-ll60k/all_results.json +21 -0
- hubert/freeze/08_hubert-xlarge-ll60k/args.json +11 -0
- hubert/freeze/08_hubert-xlarge-ll60k/eval_results.json +16 -0
- hubert/freeze/08_hubert-xlarge-ll60k/finetuned_pytorch_model.bin +3 -0
- hubert/freeze/08_hubert-xlarge-ll60k/model.safetensors +3 -0
- hubert/freeze/08_hubert-xlarge-ll60k/model_weights.pt +3 -0
- hubert/freeze/08_hubert-xlarge-ll60k/preprocessor_config.json +9 -0
- hubert/freeze/08_hubert-xlarge-ll60k/train_results.json +8 -0
- hubert/freeze/08_hubert-xlarge-ll60k/trainer_args.json +1 -0
- hubert/freeze/08_hubert-xlarge-ll60k/trainer_state.json +618 -0
- hubert/freeze/08_hubert-xlarge-ll60k/training_args.bin +3 -0
hubert/freeze/08_hubert-xlarge-ll60k/all_results.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_loss": 1.0948735475540161,
|
| 4 |
+
"eval_mse_0": 1.3283392190933228,
|
| 5 |
+
"eval_mse_1": 0.8795621991157532,
|
| 6 |
+
"eval_mse_2": 0.9013708829879761,
|
| 7 |
+
"eval_mse_3": 1.2702199220657349,
|
| 8 |
+
"eval_pcc_0": 0.7021826040010801,
|
| 9 |
+
"eval_pcc_1": 0.7854537370686618,
|
| 10 |
+
"eval_pcc_2": 0.7833671948442064,
|
| 11 |
+
"eval_pcc_3": 0.7276810306429349,
|
| 12 |
+
"eval_runtime": 208.9683,
|
| 13 |
+
"eval_samples": 2500,
|
| 14 |
+
"eval_samples_per_second": 11.964,
|
| 15 |
+
"eval_steps_per_second": 1.498,
|
| 16 |
+
"train_loss": 2.4084234739390933,
|
| 17 |
+
"train_runtime": 21831.2419,
|
| 18 |
+
"train_samples": 2500,
|
| 19 |
+
"train_samples_per_second": 3.435,
|
| 20 |
+
"train_steps_per_second": 0.43
|
| 21 |
+
}
|
hubert/freeze/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/cnnfreeze/model_saved",
|
| 7 |
+
"freeze_feature_extractor": true,
|
| 8 |
+
"exp_name": "facebook/hubert-xlarge-ll60k_lr1e-05_epochs30_batch4",
|
| 9 |
+
"save_dir_path": "/data2/haeyoung/0303/cnnfreeze/model_saved/facebook/hubert-xlarge-ll60k_lr1e-05_epochs30_batch4",
|
| 10 |
+
"save_log_path": "/data2/haeyoung/0303/cnnfreeze/model_saved/logs/facebook/hubert-xlarge-ll60k_lr1e-05_epochs30_batch4"
|
| 11 |
+
}
|
hubert/freeze/08_hubert-xlarge-ll60k/eval_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"eval_loss": 1.0948735475540161,
|
| 4 |
+
"eval_mse_0": 1.3283392190933228,
|
| 5 |
+
"eval_mse_1": 0.8795621991157532,
|
| 6 |
+
"eval_mse_2": 0.9013708829879761,
|
| 7 |
+
"eval_mse_3": 1.2702199220657349,
|
| 8 |
+
"eval_pcc_0": 0.7021826040010801,
|
| 9 |
+
"eval_pcc_1": 0.7854537370686618,
|
| 10 |
+
"eval_pcc_2": 0.7833671948442064,
|
| 11 |
+
"eval_pcc_3": 0.7276810306429349,
|
| 12 |
+
"eval_runtime": 208.9683,
|
| 13 |
+
"eval_samples": 2500,
|
| 14 |
+
"eval_samples_per_second": 11.964,
|
| 15 |
+
"eval_steps_per_second": 1.498
|
| 16 |
+
}
|
hubert/freeze/08_hubert-xlarge-ll60k/finetuned_pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:23acada074cc1d3431c6e70e69a00f943b6f838d3f39623302cba61f515cd3ef
|
| 3 |
+
size 3850336162
|
hubert/freeze/08_hubert-xlarge-ll60k/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d64f93bd4a7b55cc605cc1ca8d2d29fe18bdd476c9225a28540479c16379567f
|
| 3 |
+
size 3850109072
|
hubert/freeze/08_hubert-xlarge-ll60k/model_weights.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f98b3898ea596c2f206c788faa139566f044b91f4cca11d8911bc2cfb1db803f
|
| 3 |
+
size 3850327978
|
hubert/freeze/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/freeze/08_hubert-xlarge-ll60k/train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 30.0,
|
| 3 |
+
"train_loss": 2.4084234739390933,
|
| 4 |
+
"train_runtime": 21831.2419,
|
| 5 |
+
"train_samples": 2500,
|
| 6 |
+
"train_samples_per_second": 3.435,
|
| 7 |
+
"train_steps_per_second": 0.43
|
| 8 |
+
}
|
hubert/freeze/08_hubert-xlarge-ll60k/trainer_args.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"output_dir": "/data2/haeyoung/0303/cnnfreeze/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/cnnfreeze/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/cnnfreeze/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/freeze/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": 16.218280792236328,
|
| 14 |
+
"eval_mse_0": 17.802480697631836,
|
| 15 |
+
"eval_mse_1": 18.155719757080078,
|
| 16 |
+
"eval_mse_2": 14.126106262207031,
|
| 17 |
+
"eval_mse_3": 14.788859367370605,
|
| 18 |
+
"eval_pcc_0": -0.22481502950988502,
|
| 19 |
+
"eval_pcc_1": 0.027133910849329135,
|
| 20 |
+
"eval_pcc_2": 0.20227880310142587,
|
| 21 |
+
"eval_pcc_3": 0.11151929966621901,
|
| 22 |
+
"eval_runtime": 214.1139,
|
| 23 |
+
"eval_samples_per_second": 11.676,
|
| 24 |
+
"eval_steps_per_second": 1.462,
|
| 25 |
+
"step": 313
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 1.6,
|
| 29 |
+
"learning_rate": 9.467518636847711e-06,
|
| 30 |
+
"loss": 25.0507,
|
| 31 |
+
"step": 500
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 2.0,
|
| 35 |
+
"eval_loss": 8.59992790222168,
|
| 36 |
+
"eval_mse_0": 9.499269485473633,
|
| 37 |
+
"eval_mse_1": 9.545639038085938,
|
| 38 |
+
"eval_mse_2": 7.361404895782471,
|
| 39 |
+
"eval_mse_3": 7.9933977127075195,
|
| 40 |
+
"eval_pcc_0": -0.3838095571944921,
|
| 41 |
+
"eval_pcc_1": 0.21055681530011738,
|
| 42 |
+
"eval_pcc_2": 0.30771108537508796,
|
| 43 |
+
"eval_pcc_3": 0.3319953656955543,
|
| 44 |
+
"eval_runtime": 217.917,
|
| 45 |
+
"eval_samples_per_second": 11.472,
|
| 46 |
+
"eval_steps_per_second": 1.436,
|
| 47 |
+
"step": 626
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 3.0,
|
| 51 |
+
"eval_loss": 4.078005313873291,
|
| 52 |
+
"eval_mse_0": 4.5147223472595215,
|
| 53 |
+
"eval_mse_1": 4.191625595092773,
|
| 54 |
+
"eval_mse_2": 3.5707597732543945,
|
| 55 |
+
"eval_mse_3": 4.034916400909424,
|
| 56 |
+
"eval_pcc_0": -0.5098991192174415,
|
| 57 |
+
"eval_pcc_1": 0.3747362745901819,
|
| 58 |
+
"eval_pcc_2": 0.32219473547290267,
|
| 59 |
+
"eval_pcc_3": 0.29375816196915006,
|
| 60 |
+
"eval_runtime": 209.0199,
|
| 61 |
+
"eval_samples_per_second": 11.961,
|
| 62 |
+
"eval_steps_per_second": 1.497,
|
| 63 |
+
"step": 939
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 3.19,
|
| 67 |
+
"learning_rate": 8.935037273695422e-06,
|
| 68 |
+
"loss": 7.2298,
|
| 69 |
+
"step": 1000
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 4.0,
|
| 73 |
+
"eval_loss": 2.380504608154297,
|
| 74 |
+
"eval_mse_0": 2.555655002593994,
|
| 75 |
+
"eval_mse_1": 2.2386953830718994,
|
| 76 |
+
"eval_mse_2": 2.1945056915283203,
|
| 77 |
+
"eval_mse_3": 2.53316330909729,
|
| 78 |
+
"eval_pcc_0": -0.4949800490310783,
|
| 79 |
+
"eval_pcc_1": 0.3493241030582537,
|
| 80 |
+
"eval_pcc_2": 0.35010250059337805,
|
| 81 |
+
"eval_pcc_3": 0.29891574279163136,
|
| 82 |
+
"eval_runtime": 208.6775,
|
| 83 |
+
"eval_samples_per_second": 11.98,
|
| 84 |
+
"eval_steps_per_second": 1.5,
|
| 85 |
+
"step": 1252
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"epoch": 4.79,
|
| 89 |
+
"learning_rate": 8.402555910543132e-06,
|
| 90 |
+
"loss": 2.8072,
|
| 91 |
+
"step": 1500
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 5.0,
|
| 95 |
+
"eval_loss": 1.4422848224639893,
|
| 96 |
+
"eval_mse_0": 1.6522321701049805,
|
| 97 |
+
"eval_mse_1": 1.2618173360824585,
|
| 98 |
+
"eval_mse_2": 1.245812177658081,
|
| 99 |
+
"eval_mse_3": 1.6092774868011475,
|
| 100 |
+
"eval_pcc_0": 0.59788592589008,
|
| 101 |
+
"eval_pcc_1": 0.6923001588397848,
|
| 102 |
+
"eval_pcc_2": 0.6849604114622538,
|
| 103 |
+
"eval_pcc_3": 0.6192939062114817,
|
| 104 |
+
"eval_runtime": 247.4382,
|
| 105 |
+
"eval_samples_per_second": 10.104,
|
| 106 |
+
"eval_steps_per_second": 1.265,
|
| 107 |
+
"step": 1565
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 6.0,
|
| 111 |
+
"eval_loss": 1.224753975868225,
|
| 112 |
+
"eval_mse_0": 1.4419572353363037,
|
| 113 |
+
"eval_mse_1": 1.0168206691741943,
|
| 114 |
+
"eval_mse_2": 1.04183030128479,
|
| 115 |
+
"eval_mse_3": 1.3984031677246094,
|
| 116 |
+
"eval_pcc_0": 0.6259470612750265,
|
| 117 |
+
"eval_pcc_1": 0.7094005712093703,
|
| 118 |
+
"eval_pcc_2": 0.703077583011027,
|
| 119 |
+
"eval_pcc_3": 0.6463406612652987,
|
| 120 |
+
"eval_runtime": 312.4808,
|
| 121 |
+
"eval_samples_per_second": 8.0,
|
| 122 |
+
"eval_steps_per_second": 1.002,
|
| 123 |
+
"step": 1878
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 6.39,
|
| 127 |
+
"learning_rate": 7.870074547390843e-06,
|
| 128 |
+
"loss": 1.1777,
|
| 129 |
+
"step": 2000
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 7.0,
|
| 133 |
+
"eval_loss": 1.165972113609314,
|
| 134 |
+
"eval_mse_0": 1.3944885730743408,
|
| 135 |
+
"eval_mse_1": 0.953380286693573,
|
| 136 |
+
"eval_mse_2": 0.9779050946235657,
|
| 137 |
+
"eval_mse_3": 1.338115930557251,
|
| 138 |
+
"eval_pcc_0": 0.6491591245493366,
|
| 139 |
+
"eval_pcc_1": 0.7322764329054596,
|
| 140 |
+
"eval_pcc_2": 0.7251806534115378,
|
| 141 |
+
"eval_pcc_3": 0.6713901066947345,
|
| 142 |
+
"eval_runtime": 281.503,
|
| 143 |
+
"eval_samples_per_second": 8.881,
|
| 144 |
+
"eval_steps_per_second": 1.112,
|
| 145 |
+
"step": 2191
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 7.99,
|
| 149 |
+
"learning_rate": 7.337593184238552e-06,
|
| 150 |
+
"loss": 0.8925,
|
| 151 |
+
"step": 2500
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 8.0,
|
| 155 |
+
"eval_loss": 1.1364933252334595,
|
| 156 |
+
"eval_mse_0": 1.3813132047653198,
|
| 157 |
+
"eval_mse_1": 0.9246936440467834,
|
| 158 |
+
"eval_mse_2": 0.9472079277038574,
|
| 159 |
+
"eval_mse_3": 1.2927637100219727,
|
| 160 |
+
"eval_pcc_0": 0.6636172236793332,
|
| 161 |
+
"eval_pcc_1": 0.7442196709226827,
|
| 162 |
+
"eval_pcc_2": 0.7408310321778832,
|
| 163 |
+
"eval_pcc_3": 0.6886282304090647,
|
| 164 |
+
"eval_runtime": 335.3344,
|
| 165 |
+
"eval_samples_per_second": 7.455,
|
| 166 |
+
"eval_steps_per_second": 0.933,
|
| 167 |
+
"step": 2504
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 9.0,
|
| 171 |
+
"eval_loss": 1.164945125579834,
|
| 172 |
+
"eval_mse_0": 1.3997234106063843,
|
| 173 |
+
"eval_mse_1": 0.953402042388916,
|
| 174 |
+
"eval_mse_2": 0.9617190361022949,
|
| 175 |
+
"eval_mse_3": 1.3449345827102661,
|
| 176 |
+
"eval_pcc_0": 0.6671656314385908,
|
| 177 |
+
"eval_pcc_1": 0.7473768712223382,
|
| 178 |
+
"eval_pcc_2": 0.7482860149868756,
|
| 179 |
+
"eval_pcc_3": 0.6932340357789037,
|
| 180 |
+
"eval_runtime": 209.0164,
|
| 181 |
+
"eval_samples_per_second": 11.961,
|
| 182 |
+
"eval_steps_per_second": 1.497,
|
| 183 |
+
"step": 2817
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 9.58,
|
| 187 |
+
"learning_rate": 6.805111821086262e-06,
|
| 188 |
+
"loss": 0.7703,
|
| 189 |
+
"step": 3000
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 10.0,
|
| 193 |
+
"eval_loss": 1.1717320680618286,
|
| 194 |
+
"eval_mse_0": 1.3993605375289917,
|
| 195 |
+
"eval_mse_1": 0.9421942234039307,
|
| 196 |
+
"eval_mse_2": 0.9832373857498169,
|
| 197 |
+
"eval_mse_3": 1.3621364831924438,
|
| 198 |
+
"eval_pcc_0": 0.6659645825368572,
|
| 199 |
+
"eval_pcc_1": 0.754070460942255,
|
| 200 |
+
"eval_pcc_2": 0.7531686782534792,
|
| 201 |
+
"eval_pcc_3": 0.6925327269309437,
|
| 202 |
+
"eval_runtime": 208.4382,
|
| 203 |
+
"eval_samples_per_second": 11.994,
|
| 204 |
+
"eval_steps_per_second": 1.502,
|
| 205 |
+
"step": 3130
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 11.0,
|
| 209 |
+
"eval_loss": 1.1003177165985107,
|
| 210 |
+
"eval_mse_0": 1.3511290550231934,
|
| 211 |
+
"eval_mse_1": 0.8601426482200623,
|
| 212 |
+
"eval_mse_2": 0.9058741331100464,
|
| 213 |
+
"eval_mse_3": 1.284125566482544,
|
| 214 |
+
"eval_pcc_0": 0.6823004720905385,
|
| 215 |
+
"eval_pcc_1": 0.7679569991440994,
|
| 216 |
+
"eval_pcc_2": 0.7669256432413208,
|
| 217 |
+
"eval_pcc_3": 0.7095652856474484,
|
| 218 |
+
"eval_runtime": 208.3712,
|
| 219 |
+
"eval_samples_per_second": 11.998,
|
| 220 |
+
"eval_steps_per_second": 1.502,
|
| 221 |
+
"step": 3443
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 11.18,
|
| 225 |
+
"learning_rate": 6.272630457933972e-06,
|
| 226 |
+
"loss": 0.7243,
|
| 227 |
+
"step": 3500
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 12.0,
|
| 231 |
+
"eval_loss": 1.1556166410446167,
|
| 232 |
+
"eval_mse_0": 1.387494683265686,
|
| 233 |
+
"eval_mse_1": 0.9246439337730408,
|
| 234 |
+
"eval_mse_2": 0.9701840877532959,
|
| 235 |
+
"eval_mse_3": 1.3401434421539307,
|
| 236 |
+
"eval_pcc_0": 0.6792211345115233,
|
| 237 |
+
"eval_pcc_1": 0.7643262106960501,
|
| 238 |
+
"eval_pcc_2": 0.7648803827498597,
|
| 239 |
+
"eval_pcc_3": 0.7061351730951151,
|
| 240 |
+
"eval_runtime": 208.1568,
|
| 241 |
+
"eval_samples_per_second": 12.01,
|
| 242 |
+
"eval_steps_per_second": 1.504,
|
| 243 |
+
"step": 3756
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 12.78,
|
| 247 |
+
"learning_rate": 5.7401490947816826e-06,
|
| 248 |
+
"loss": 0.6807,
|
| 249 |
+
"step": 4000
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 13.0,
|
| 253 |
+
"eval_loss": 1.1403584480285645,
|
| 254 |
+
"eval_mse_0": 1.378049373626709,
|
| 255 |
+
"eval_mse_1": 0.9393852353096008,
|
| 256 |
+
"eval_mse_2": 0.9474803805351257,
|
| 257 |
+
"eval_mse_3": 1.2965223789215088,
|
| 258 |
+
"eval_pcc_0": 0.685714030106479,
|
| 259 |
+
"eval_pcc_1": 0.7701273842984031,
|
| 260 |
+
"eval_pcc_2": 0.7719005152839391,
|
| 261 |
+
"eval_pcc_3": 0.7132850798755096,
|
| 262 |
+
"eval_runtime": 207.7825,
|
| 263 |
+
"eval_samples_per_second": 12.032,
|
| 264 |
+
"eval_steps_per_second": 1.506,
|
| 265 |
+
"step": 4069
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 14.0,
|
| 269 |
+
"eval_loss": 1.0986577272415161,
|
| 270 |
+
"eval_mse_0": 1.3405073881149292,
|
| 271 |
+
"eval_mse_1": 0.9005590081214905,
|
| 272 |
+
"eval_mse_2": 0.8833965063095093,
|
| 273 |
+
"eval_mse_3": 1.270165205001831,
|
| 274 |
+
"eval_pcc_0": 0.6908638660162009,
|
| 275 |
+
"eval_pcc_1": 0.7757356770571214,
|
| 276 |
+
"eval_pcc_2": 0.776955459294741,
|
| 277 |
+
"eval_pcc_3": 0.7183248042789347,
|
| 278 |
+
"eval_runtime": 208.4925,
|
| 279 |
+
"eval_samples_per_second": 11.991,
|
| 280 |
+
"eval_steps_per_second": 1.501,
|
| 281 |
+
"step": 4382
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 14.38,
|
| 285 |
+
"learning_rate": 5.207667731629393e-06,
|
| 286 |
+
"loss": 0.6508,
|
| 287 |
+
"step": 4500
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 15.0,
|
| 291 |
+
"eval_loss": 1.1057186126708984,
|
| 292 |
+
"eval_mse_0": 1.34336256980896,
|
| 293 |
+
"eval_mse_1": 0.8891988396644592,
|
| 294 |
+
"eval_mse_2": 0.9110406041145325,
|
| 295 |
+
"eval_mse_3": 1.2792694568634033,
|
| 296 |
+
"eval_pcc_0": 0.6913396627789129,
|
| 297 |
+
"eval_pcc_1": 0.7777092425949328,
|
| 298 |
+
"eval_pcc_2": 0.7779608746447034,
|
| 299 |
+
"eval_pcc_3": 0.7193755872411963,
|
| 300 |
+
"eval_runtime": 208.2997,
|
| 301 |
+
"eval_samples_per_second": 12.002,
|
| 302 |
+
"eval_steps_per_second": 1.503,
|
| 303 |
+
"step": 4695
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 15.97,
|
| 307 |
+
"learning_rate": 4.675186368477103e-06,
|
| 308 |
+
"loss": 0.6,
|
| 309 |
+
"step": 5000
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 16.0,
|
| 313 |
+
"eval_loss": 1.1194236278533936,
|
| 314 |
+
"eval_mse_0": 1.358150839805603,
|
| 315 |
+
"eval_mse_1": 0.9049779176712036,
|
| 316 |
+
"eval_mse_2": 0.9220144748687744,
|
| 317 |
+
"eval_mse_3": 1.2925522327423096,
|
| 318 |
+
"eval_pcc_0": 0.6929465023615248,
|
| 319 |
+
"eval_pcc_1": 0.7780722906636613,
|
| 320 |
+
"eval_pcc_2": 0.7788806309502682,
|
| 321 |
+
"eval_pcc_3": 0.7219376061872848,
|
| 322 |
+
"eval_runtime": 208.2861,
|
| 323 |
+
"eval_samples_per_second": 12.003,
|
| 324 |
+
"eval_steps_per_second": 1.503,
|
| 325 |
+
"step": 5008
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 17.0,
|
| 329 |
+
"eval_loss": 1.1674102544784546,
|
| 330 |
+
"eval_mse_0": 1.3676834106445312,
|
| 331 |
+
"eval_mse_1": 0.9515432715415955,
|
| 332 |
+
"eval_mse_2": 1.001997709274292,
|
| 333 |
+
"eval_mse_3": 1.3484163284301758,
|
| 334 |
+
"eval_pcc_0": 0.6921208151486974,
|
| 335 |
+
"eval_pcc_1": 0.774493306623929,
|
| 336 |
+
"eval_pcc_2": 0.7760156604229923,
|
| 337 |
+
"eval_pcc_3": 0.7189250546931115,
|
| 338 |
+
"eval_runtime": 208.5477,
|
| 339 |
+
"eval_samples_per_second": 11.988,
|
| 340 |
+
"eval_steps_per_second": 1.501,
|
| 341 |
+
"step": 5321
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 17.57,
|
| 345 |
+
"learning_rate": 4.142705005324814e-06,
|
| 346 |
+
"loss": 0.5835,
|
| 347 |
+
"step": 5500
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 18.0,
|
| 351 |
+
"eval_loss": 1.0919314622879028,
|
| 352 |
+
"eval_mse_0": 1.3341715335845947,
|
| 353 |
+
"eval_mse_1": 0.8896929621696472,
|
| 354 |
+
"eval_mse_2": 0.8880434632301331,
|
| 355 |
+
"eval_mse_3": 1.2558188438415527,
|
| 356 |
+
"eval_pcc_0": 0.6987603679056807,
|
| 357 |
+
"eval_pcc_1": 0.7801065144503536,
|
| 358 |
+
"eval_pcc_2": 0.7808335149834718,
|
| 359 |
+
"eval_pcc_3": 0.7262217024343912,
|
| 360 |
+
"eval_runtime": 208.2957,
|
| 361 |
+
"eval_samples_per_second": 12.002,
|
| 362 |
+
"eval_steps_per_second": 1.503,
|
| 363 |
+
"step": 5634
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 19.0,
|
| 367 |
+
"eval_loss": 1.0437231063842773,
|
| 368 |
+
"eval_mse_0": 1.2895662784576416,
|
| 369 |
+
"eval_mse_1": 0.8252150416374207,
|
| 370 |
+
"eval_mse_2": 0.8597472906112671,
|
| 371 |
+
"eval_mse_3": 1.2003629207611084,
|
| 372 |
+
"eval_pcc_0": 0.7026890019454506,
|
| 373 |
+
"eval_pcc_1": 0.7858380303522067,
|
| 374 |
+
"eval_pcc_2": 0.7849542059443247,
|
| 375 |
+
"eval_pcc_3": 0.7294818540628083,
|
| 376 |
+
"eval_runtime": 208.5445,
|
| 377 |
+
"eval_samples_per_second": 11.988,
|
| 378 |
+
"eval_steps_per_second": 1.501,
|
| 379 |
+
"step": 5947
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 19.17,
|
| 383 |
+
"learning_rate": 3.6102236421725247e-06,
|
| 384 |
+
"loss": 0.5678,
|
| 385 |
+
"step": 6000
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 20.0,
|
| 389 |
+
"eval_loss": 1.151486873626709,
|
| 390 |
+
"eval_mse_0": 1.3805490732192993,
|
| 391 |
+
"eval_mse_1": 0.942895233631134,
|
| 392 |
+
"eval_mse_2": 0.9465405344963074,
|
| 393 |
+
"eval_mse_3": 1.335962176322937,
|
| 394 |
+
"eval_pcc_0": 0.6949788901370473,
|
| 395 |
+
"eval_pcc_1": 0.7787714451137748,
|
| 396 |
+
"eval_pcc_2": 0.779151443590144,
|
| 397 |
+
"eval_pcc_3": 0.7215692214830622,
|
| 398 |
+
"eval_runtime": 208.439,
|
| 399 |
+
"eval_samples_per_second": 11.994,
|
| 400 |
+
"eval_steps_per_second": 1.502,
|
| 401 |
+
"step": 6260
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 20.77,
|
| 405 |
+
"learning_rate": 3.0777422790202343e-06,
|
| 406 |
+
"loss": 0.551,
|
| 407 |
+
"step": 6500
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 21.0,
|
| 411 |
+
"eval_loss": 1.1019189357757568,
|
| 412 |
+
"eval_mse_0": 1.346902847290039,
|
| 413 |
+
"eval_mse_1": 0.8688396215438843,
|
| 414 |
+
"eval_mse_2": 0.9042496085166931,
|
| 415 |
+
"eval_mse_3": 1.287683129310608,
|
| 416 |
+
"eval_pcc_0": 0.7002976367992624,
|
| 417 |
+
"eval_pcc_1": 0.783528380766365,
|
| 418 |
+
"eval_pcc_2": 0.782716721891549,
|
| 419 |
+
"eval_pcc_3": 0.7265399783436903,
|
| 420 |
+
"eval_runtime": 208.5079,
|
| 421 |
+
"eval_samples_per_second": 11.99,
|
| 422 |
+
"eval_steps_per_second": 1.501,
|
| 423 |
+
"step": 6573
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 22.0,
|
| 427 |
+
"eval_loss": 1.0888938903808594,
|
| 428 |
+
"eval_mse_0": 1.3434523344039917,
|
| 429 |
+
"eval_mse_1": 0.8522993922233582,
|
| 430 |
+
"eval_mse_2": 0.8866416811943054,
|
| 431 |
+
"eval_mse_3": 1.2731798887252808,
|
| 432 |
+
"eval_pcc_0": 0.7000358310205116,
|
| 433 |
+
"eval_pcc_1": 0.7840908362437411,
|
| 434 |
+
"eval_pcc_2": 0.7834154168240878,
|
| 435 |
+
"eval_pcc_3": 0.7263780561838219,
|
| 436 |
+
"eval_runtime": 208.6613,
|
| 437 |
+
"eval_samples_per_second": 11.981,
|
| 438 |
+
"eval_steps_per_second": 1.5,
|
| 439 |
+
"step": 6886
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 22.36,
|
| 443 |
+
"learning_rate": 2.5452609158679447e-06,
|
| 444 |
+
"loss": 0.5244,
|
| 445 |
+
"step": 7000
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 23.0,
|
| 449 |
+
"eval_loss": 1.1030689477920532,
|
| 450 |
+
"eval_mse_0": 1.3297648429870605,
|
| 451 |
+
"eval_mse_1": 0.8905456066131592,
|
| 452 |
+
"eval_mse_2": 0.9094634652137756,
|
| 453 |
+
"eval_mse_3": 1.2824994325637817,
|
| 454 |
+
"eval_pcc_0": 0.6998152391302843,
|
| 455 |
+
"eval_pcc_1": 0.7819756526305894,
|
| 456 |
+
"eval_pcc_2": 0.7809308141655372,
|
| 457 |
+
"eval_pcc_3": 0.724755824960029,
|
| 458 |
+
"eval_runtime": 208.5735,
|
| 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": 0.5321,
|
| 467 |
+
"step": 7500
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 24.0,
|
| 471 |
+
"eval_loss": 1.1527204513549805,
|
| 472 |
+
"eval_mse_0": 1.3845329284667969,
|
| 473 |
+
"eval_mse_1": 0.934273362159729,
|
| 474 |
+
"eval_mse_2": 0.9591948390007019,
|
| 475 |
+
"eval_mse_3": 1.3328787088394165,
|
| 476 |
+
"eval_pcc_0": 0.6979501633023902,
|
| 477 |
+
"eval_pcc_1": 0.7834698162108159,
|
| 478 |
+
"eval_pcc_2": 0.7822578881059007,
|
| 479 |
+
"eval_pcc_3": 0.7238119257524374,
|
| 480 |
+
"eval_runtime": 208.5469,
|
| 481 |
+
"eval_samples_per_second": 11.988,
|
| 482 |
+
"eval_steps_per_second": 1.501,
|
| 483 |
+
"step": 7512
|
| 484 |
+
},
|
| 485 |
+
{
|
| 486 |
+
"epoch": 25.0,
|
| 487 |
+
"eval_loss": 1.1493885517120361,
|
| 488 |
+
"eval_mse_0": 1.3841156959533691,
|
| 489 |
+
"eval_mse_1": 0.934059202671051,
|
| 490 |
+
"eval_mse_2": 0.9498694539070129,
|
| 491 |
+
"eval_mse_3": 1.3295068740844727,
|
| 492 |
+
"eval_pcc_0": 0.6983873223409067,
|
| 493 |
+
"eval_pcc_1": 0.7833872899779326,
|
| 494 |
+
"eval_pcc_2": 0.7823576683287323,
|
| 495 |
+
"eval_pcc_3": 0.7248192689633275,
|
| 496 |
+
"eval_runtime": 208.1072,
|
| 497 |
+
"eval_samples_per_second": 12.013,
|
| 498 |
+
"eval_steps_per_second": 1.504,
|
| 499 |
+
"step": 7825
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 25.56,
|
| 503 |
+
"learning_rate": 1.4802981895633654e-06,
|
| 504 |
+
"loss": 0.519,
|
| 505 |
+
"step": 8000
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 26.0,
|
| 509 |
+
"eval_loss": 1.067149043083191,
|
| 510 |
+
"eval_mse_0": 1.315177321434021,
|
| 511 |
+
"eval_mse_1": 0.8451446294784546,
|
| 512 |
+
"eval_mse_2": 0.8623626828193665,
|
| 513 |
+
"eval_mse_3": 1.2459105253219604,
|
| 514 |
+
"eval_pcc_0": 0.7035180075293521,
|
| 515 |
+
"eval_pcc_1": 0.7866524412630329,
|
| 516 |
+
"eval_pcc_2": 0.7847478629923984,
|
| 517 |
+
"eval_pcc_3": 0.7294163208957346,
|
| 518 |
+
"eval_runtime": 209.3532,
|
| 519 |
+
"eval_samples_per_second": 11.942,
|
| 520 |
+
"eval_steps_per_second": 1.495,
|
| 521 |
+
"step": 8138
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 27.0,
|
| 525 |
+
"eval_loss": 1.0915998220443726,
|
| 526 |
+
"eval_mse_0": 1.3283545970916748,
|
| 527 |
+
"eval_mse_1": 0.8693767786026001,
|
| 528 |
+
"eval_mse_2": 0.9016813635826111,
|
| 529 |
+
"eval_mse_3": 1.2669856548309326,
|
| 530 |
+
"eval_pcc_0": 0.7022674537199173,
|
| 531 |
+
"eval_pcc_1": 0.7867839427113587,
|
| 532 |
+
"eval_pcc_2": 0.7844608088168187,
|
| 533 |
+
"eval_pcc_3": 0.7281022613065216,
|
| 534 |
+
"eval_runtime": 208.5429,
|
| 535 |
+
"eval_samples_per_second": 11.988,
|
| 536 |
+
"eval_steps_per_second": 1.501,
|
| 537 |
+
"step": 8451
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 27.16,
|
| 541 |
+
"learning_rate": 9.478168264110757e-07,
|
| 542 |
+
"loss": 0.4895,
|
| 543 |
+
"step": 8500
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 28.0,
|
| 547 |
+
"eval_loss": 1.0791786909103394,
|
| 548 |
+
"eval_mse_0": 1.3170232772827148,
|
| 549 |
+
"eval_mse_1": 0.8616071343421936,
|
| 550 |
+
"eval_mse_2": 0.8834137916564941,
|
| 551 |
+
"eval_mse_3": 1.2546700239181519,
|
| 552 |
+
"eval_pcc_0": 0.7030177964730663,
|
| 553 |
+
"eval_pcc_1": 0.7864131651978098,
|
| 554 |
+
"eval_pcc_2": 0.7841052712648172,
|
| 555 |
+
"eval_pcc_3": 0.7286159637386279,
|
| 556 |
+
"eval_runtime": 208.1678,
|
| 557 |
+
"eval_samples_per_second": 12.01,
|
| 558 |
+
"eval_steps_per_second": 1.504,
|
| 559 |
+
"step": 8764
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 28.75,
|
| 563 |
+
"learning_rate": 4.1533546325878595e-07,
|
| 564 |
+
"loss": 0.4848,
|
| 565 |
+
"step": 9000
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 29.0,
|
| 569 |
+
"eval_loss": 1.1225056648254395,
|
| 570 |
+
"eval_mse_0": 1.3506780862808228,
|
| 571 |
+
"eval_mse_1": 0.9083937406539917,
|
| 572 |
+
"eval_mse_2": 0.9317901134490967,
|
| 573 |
+
"eval_mse_3": 1.2991586923599243,
|
| 574 |
+
"eval_pcc_0": 0.7005837490734602,
|
| 575 |
+
"eval_pcc_1": 0.7848103246399212,
|
| 576 |
+
"eval_pcc_2": 0.7829128909102594,
|
| 577 |
+
"eval_pcc_3": 0.7262707267405379,
|
| 578 |
+
"eval_runtime": 208.0129,
|
| 579 |
+
"eval_samples_per_second": 12.018,
|
| 580 |
+
"eval_steps_per_second": 1.505,
|
| 581 |
+
"step": 9077
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 30.0,
|
| 585 |
+
"eval_loss": 1.0948735475540161,
|
| 586 |
+
"eval_mse_0": 1.3283392190933228,
|
| 587 |
+
"eval_mse_1": 0.8795621991157532,
|
| 588 |
+
"eval_mse_2": 0.9013708829879761,
|
| 589 |
+
"eval_mse_3": 1.2702199220657349,
|
| 590 |
+
"eval_pcc_0": 0.7021826040010801,
|
| 591 |
+
"eval_pcc_1": 0.7854537370686618,
|
| 592 |
+
"eval_pcc_2": 0.7833671948442064,
|
| 593 |
+
"eval_pcc_3": 0.7276810306429349,
|
| 594 |
+
"eval_runtime": 208.2849,
|
| 595 |
+
"eval_samples_per_second": 12.003,
|
| 596 |
+
"eval_steps_per_second": 1.503,
|
| 597 |
+
"step": 9390
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 30.0,
|
| 601 |
+
"step": 9390,
|
| 602 |
+
"total_flos": 0.0,
|
| 603 |
+
"train_loss": 2.4084234739390933,
|
| 604 |
+
"train_runtime": 21831.2419,
|
| 605 |
+
"train_samples_per_second": 3.435,
|
| 606 |
+
"train_steps_per_second": 0.43
|
| 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/08_hubert-xlarge-ll60k/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f42067bac11d5df40b14edce863fd47290973f481e73a4e94a54cbd923c21c5a
|
| 3 |
+
size 4856
|