add wip15
Browse files- .gitignore +1 -0
- config.json +43 -0
- long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13.5-ft3-booksum_training_metadata.json +1 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +107 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +111 -0
- trainer_state.json +700 -0
- training_args.bin +3 -0
.gitignore
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
checkpoint-*/
|
config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13.5",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LongT5ForConditionalGeneration"
|
| 5 |
+
],
|
| 6 |
+
"d_ff": 2816,
|
| 7 |
+
"d_kv": 64,
|
| 8 |
+
"d_model": 1024,
|
| 9 |
+
"decoder_start_token_id": 0,
|
| 10 |
+
"dense_act_fn": "gelu_new",
|
| 11 |
+
"dropout_rate": 0.1,
|
| 12 |
+
"early_stopping": true,
|
| 13 |
+
"encoder_attention_type": "transient-global",
|
| 14 |
+
"encoder_no_repeat_ngram_size": 4,
|
| 15 |
+
"eos_token_id": 1,
|
| 16 |
+
"feed_forward_proj": "gated-gelu",
|
| 17 |
+
"global_block_size": 16,
|
| 18 |
+
"initializer_factor": 1.0,
|
| 19 |
+
"is_encoder_decoder": true,
|
| 20 |
+
"is_gated_act": true,
|
| 21 |
+
"layer_norm_epsilon": 1e-06,
|
| 22 |
+
"length_penalty": 0.8,
|
| 23 |
+
"local_radius": 127,
|
| 24 |
+
"max_length": 512,
|
| 25 |
+
"min_length": 8,
|
| 26 |
+
"model_type": "longt5",
|
| 27 |
+
"n_positions": 4096,
|
| 28 |
+
"no_repeat_ngram_size": 3,
|
| 29 |
+
"num_beams": 2,
|
| 30 |
+
"num_decoder_layers": 24,
|
| 31 |
+
"num_heads": 16,
|
| 32 |
+
"num_layers": 24,
|
| 33 |
+
"output_past": true,
|
| 34 |
+
"pad_token_id": 0,
|
| 35 |
+
"relative_attention_max_distance": 128,
|
| 36 |
+
"relative_attention_num_buckets": 32,
|
| 37 |
+
"repetition_penalty": 3.5,
|
| 38 |
+
"tie_word_embeddings": false,
|
| 39 |
+
"torch_dtype": "float32",
|
| 40 |
+
"transformers_version": "4.23.0.dev0",
|
| 41 |
+
"use_cache": false,
|
| 42 |
+
"vocab_size": 32100
|
| 43 |
+
}
|
long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13.5-ft3-booksum_training_metadata.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"output_dir": "/content/drive/MyDrive/Programming/hf-trainer/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13.5-ft3-booksum", "overwrite_output_dir": true, "do_train": false, "do_eval": false, "do_predict": false, "evaluation_strategy": "no", "prediction_loss_only": false, "per_device_train_batch_size": 1, "per_device_eval_batch_size": 1, "per_gpu_train_batch_size": "None", "per_gpu_eval_batch_size": "None", "gradient_accumulation_steps": 64, "eval_accumulation_steps": "None", "eval_delay": 0, "learning_rate": 0.0004, "weight_decay": 0.02, "adam_beta1": 0.9, "adam_beta2": 0.999, "adam_epsilon": 1e-08, "max_grad_norm": 1, "num_train_epochs": 3, "max_steps": -1, "lr_scheduler_type": "cosine", "warmup_ratio": 0.01, "warmup_steps": 0, "log_level": -1, "log_level_replica": -1, "log_on_each_node": true, "logging_dir": "/content/drive/MyDrive/Programming/hf-trainer/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13.5-ft3-booksum/logs", "logging_strategy": "steps", "logging_first_step": false, "logging_steps": 2, "logging_nan_inf_filter": true, "save_strategy": "steps", "save_steps": 25, "save_total_limit": 1, "save_on_each_node": false, "no_cuda": false, "use_mps_device": false, "seed": 42, "data_seed": "None", "jit_mode_eval": false, "use_ipex": false, "bf16": true, "fp16": false, "fp16_opt_level": "O1", "half_precision_backend": "cuda_amp", "bf16_full_eval": false, "fp16_full_eval": false, "tf32": "None", "local_rank": 0, "xpu_backend": "None", "tpu_num_cores": "None", "tpu_metrics_debug": false, "debug": "[]", "dataloader_drop_last": false, "eval_steps": "None", "dataloader_num_workers": 0, "past_index": -1, "run_name": "/content/drive/MyDrive/Programming/hf-trainer/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13.5-ft3-booksum", "disable_tqdm": false, "remove_unused_columns": true, "label_names": "None", "load_best_model_at_end": false, "metric_for_best_model": "None", "greater_is_better": "None", "ignore_data_skip": false, "sharded_ddp": "[]", "fsdp": "[]", "fsdp_min_num_params": 0, "fsdp_transformer_layer_cls_to_wrap": "None", "deepspeed": "None", "label_smoothing_factor": 0.0, "optim": "adamw_hf", "adafactor": false, "group_by_length": false, "length_column_name": "length", "report_to": "['tensorboard']", "ddp_find_unused_parameters": "None", "ddp_bucket_cap_mb": "None", "dataloader_pin_memory": true, "skip_memory_metrics": false, "use_legacy_prediction_loop": false, "push_to_hub": true, "resume_from_checkpoint": "None", "hub_model_id": "long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13.5-ft3-booksum", "hub_strategy": "end", "hub_token": "<HUB_TOKEN>", "hub_private_repo": true, "gradient_checkpointing": true, "include_inputs_for_metrics": false, "fp16_backend": "auto", "push_to_hub_model_id": "None", "push_to_hub_organization": "None", "push_to_hub_token": "<PUSH_TO_HUB_TOKEN>", "_n_gpu": 1, "mp_parameters": "", "auto_find_batch_size": false, "full_determinism": false, "torchdynamo": "None", "ray_scope": "last", "ddp_timeout": 1800, "sortish_sampler": false, "predict_with_generate": false, "generation_max_length": "None", "generation_num_beams": "None", "train_batch_size": 1, "eval_batch_size": 1, "configs_src": "long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13.5-ft3-booksum", "use_adam8bit": false, "use_adan_optim": true, "optim_params": "(None, None)", "decay_rate_ada": -0.5}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e5c220de7a2ffd094a692bffdf1d82da7fe1c0f88cdee923dbd425d1fcedb658
|
| 3 |
+
size 3132671411
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<extra_id_0>",
|
| 4 |
+
"<extra_id_1>",
|
| 5 |
+
"<extra_id_2>",
|
| 6 |
+
"<extra_id_3>",
|
| 7 |
+
"<extra_id_4>",
|
| 8 |
+
"<extra_id_5>",
|
| 9 |
+
"<extra_id_6>",
|
| 10 |
+
"<extra_id_7>",
|
| 11 |
+
"<extra_id_8>",
|
| 12 |
+
"<extra_id_9>",
|
| 13 |
+
"<extra_id_10>",
|
| 14 |
+
"<extra_id_11>",
|
| 15 |
+
"<extra_id_12>",
|
| 16 |
+
"<extra_id_13>",
|
| 17 |
+
"<extra_id_14>",
|
| 18 |
+
"<extra_id_15>",
|
| 19 |
+
"<extra_id_16>",
|
| 20 |
+
"<extra_id_17>",
|
| 21 |
+
"<extra_id_18>",
|
| 22 |
+
"<extra_id_19>",
|
| 23 |
+
"<extra_id_20>",
|
| 24 |
+
"<extra_id_21>",
|
| 25 |
+
"<extra_id_22>",
|
| 26 |
+
"<extra_id_23>",
|
| 27 |
+
"<extra_id_24>",
|
| 28 |
+
"<extra_id_25>",
|
| 29 |
+
"<extra_id_26>",
|
| 30 |
+
"<extra_id_27>",
|
| 31 |
+
"<extra_id_28>",
|
| 32 |
+
"<extra_id_29>",
|
| 33 |
+
"<extra_id_30>",
|
| 34 |
+
"<extra_id_31>",
|
| 35 |
+
"<extra_id_32>",
|
| 36 |
+
"<extra_id_33>",
|
| 37 |
+
"<extra_id_34>",
|
| 38 |
+
"<extra_id_35>",
|
| 39 |
+
"<extra_id_36>",
|
| 40 |
+
"<extra_id_37>",
|
| 41 |
+
"<extra_id_38>",
|
| 42 |
+
"<extra_id_39>",
|
| 43 |
+
"<extra_id_40>",
|
| 44 |
+
"<extra_id_41>",
|
| 45 |
+
"<extra_id_42>",
|
| 46 |
+
"<extra_id_43>",
|
| 47 |
+
"<extra_id_44>",
|
| 48 |
+
"<extra_id_45>",
|
| 49 |
+
"<extra_id_46>",
|
| 50 |
+
"<extra_id_47>",
|
| 51 |
+
"<extra_id_48>",
|
| 52 |
+
"<extra_id_49>",
|
| 53 |
+
"<extra_id_50>",
|
| 54 |
+
"<extra_id_51>",
|
| 55 |
+
"<extra_id_52>",
|
| 56 |
+
"<extra_id_53>",
|
| 57 |
+
"<extra_id_54>",
|
| 58 |
+
"<extra_id_55>",
|
| 59 |
+
"<extra_id_56>",
|
| 60 |
+
"<extra_id_57>",
|
| 61 |
+
"<extra_id_58>",
|
| 62 |
+
"<extra_id_59>",
|
| 63 |
+
"<extra_id_60>",
|
| 64 |
+
"<extra_id_61>",
|
| 65 |
+
"<extra_id_62>",
|
| 66 |
+
"<extra_id_63>",
|
| 67 |
+
"<extra_id_64>",
|
| 68 |
+
"<extra_id_65>",
|
| 69 |
+
"<extra_id_66>",
|
| 70 |
+
"<extra_id_67>",
|
| 71 |
+
"<extra_id_68>",
|
| 72 |
+
"<extra_id_69>",
|
| 73 |
+
"<extra_id_70>",
|
| 74 |
+
"<extra_id_71>",
|
| 75 |
+
"<extra_id_72>",
|
| 76 |
+
"<extra_id_73>",
|
| 77 |
+
"<extra_id_74>",
|
| 78 |
+
"<extra_id_75>",
|
| 79 |
+
"<extra_id_76>",
|
| 80 |
+
"<extra_id_77>",
|
| 81 |
+
"<extra_id_78>",
|
| 82 |
+
"<extra_id_79>",
|
| 83 |
+
"<extra_id_80>",
|
| 84 |
+
"<extra_id_81>",
|
| 85 |
+
"<extra_id_82>",
|
| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": "</s>",
|
| 105 |
+
"pad_token": "<pad>",
|
| 106 |
+
"unk_token": "<unk>"
|
| 107 |
+
}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<extra_id_0>",
|
| 4 |
+
"<extra_id_1>",
|
| 5 |
+
"<extra_id_2>",
|
| 6 |
+
"<extra_id_3>",
|
| 7 |
+
"<extra_id_4>",
|
| 8 |
+
"<extra_id_5>",
|
| 9 |
+
"<extra_id_6>",
|
| 10 |
+
"<extra_id_7>",
|
| 11 |
+
"<extra_id_8>",
|
| 12 |
+
"<extra_id_9>",
|
| 13 |
+
"<extra_id_10>",
|
| 14 |
+
"<extra_id_11>",
|
| 15 |
+
"<extra_id_12>",
|
| 16 |
+
"<extra_id_13>",
|
| 17 |
+
"<extra_id_14>",
|
| 18 |
+
"<extra_id_15>",
|
| 19 |
+
"<extra_id_16>",
|
| 20 |
+
"<extra_id_17>",
|
| 21 |
+
"<extra_id_18>",
|
| 22 |
+
"<extra_id_19>",
|
| 23 |
+
"<extra_id_20>",
|
| 24 |
+
"<extra_id_21>",
|
| 25 |
+
"<extra_id_22>",
|
| 26 |
+
"<extra_id_23>",
|
| 27 |
+
"<extra_id_24>",
|
| 28 |
+
"<extra_id_25>",
|
| 29 |
+
"<extra_id_26>",
|
| 30 |
+
"<extra_id_27>",
|
| 31 |
+
"<extra_id_28>",
|
| 32 |
+
"<extra_id_29>",
|
| 33 |
+
"<extra_id_30>",
|
| 34 |
+
"<extra_id_31>",
|
| 35 |
+
"<extra_id_32>",
|
| 36 |
+
"<extra_id_33>",
|
| 37 |
+
"<extra_id_34>",
|
| 38 |
+
"<extra_id_35>",
|
| 39 |
+
"<extra_id_36>",
|
| 40 |
+
"<extra_id_37>",
|
| 41 |
+
"<extra_id_38>",
|
| 42 |
+
"<extra_id_39>",
|
| 43 |
+
"<extra_id_40>",
|
| 44 |
+
"<extra_id_41>",
|
| 45 |
+
"<extra_id_42>",
|
| 46 |
+
"<extra_id_43>",
|
| 47 |
+
"<extra_id_44>",
|
| 48 |
+
"<extra_id_45>",
|
| 49 |
+
"<extra_id_46>",
|
| 50 |
+
"<extra_id_47>",
|
| 51 |
+
"<extra_id_48>",
|
| 52 |
+
"<extra_id_49>",
|
| 53 |
+
"<extra_id_50>",
|
| 54 |
+
"<extra_id_51>",
|
| 55 |
+
"<extra_id_52>",
|
| 56 |
+
"<extra_id_53>",
|
| 57 |
+
"<extra_id_54>",
|
| 58 |
+
"<extra_id_55>",
|
| 59 |
+
"<extra_id_56>",
|
| 60 |
+
"<extra_id_57>",
|
| 61 |
+
"<extra_id_58>",
|
| 62 |
+
"<extra_id_59>",
|
| 63 |
+
"<extra_id_60>",
|
| 64 |
+
"<extra_id_61>",
|
| 65 |
+
"<extra_id_62>",
|
| 66 |
+
"<extra_id_63>",
|
| 67 |
+
"<extra_id_64>",
|
| 68 |
+
"<extra_id_65>",
|
| 69 |
+
"<extra_id_66>",
|
| 70 |
+
"<extra_id_67>",
|
| 71 |
+
"<extra_id_68>",
|
| 72 |
+
"<extra_id_69>",
|
| 73 |
+
"<extra_id_70>",
|
| 74 |
+
"<extra_id_71>",
|
| 75 |
+
"<extra_id_72>",
|
| 76 |
+
"<extra_id_73>",
|
| 77 |
+
"<extra_id_74>",
|
| 78 |
+
"<extra_id_75>",
|
| 79 |
+
"<extra_id_76>",
|
| 80 |
+
"<extra_id_77>",
|
| 81 |
+
"<extra_id_78>",
|
| 82 |
+
"<extra_id_79>",
|
| 83 |
+
"<extra_id_80>",
|
| 84 |
+
"<extra_id_81>",
|
| 85 |
+
"<extra_id_82>",
|
| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": "</s>",
|
| 105 |
+
"extra_ids": 100,
|
| 106 |
+
"name_or_path": "pszemraj/long-t5-tglobal-large-pubmed-3k-booksum-16384-WIP13.5",
|
| 107 |
+
"pad_token": "<pad>",
|
| 108 |
+
"special_tokens_map_file": null,
|
| 109 |
+
"tokenizer_class": "T5Tokenizer",
|
| 110 |
+
"unk_token": "<unk>"
|
| 111 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,700 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.3807365439093484,
|
| 5 |
+
"global_step": 228,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.01,
|
| 12 |
+
"learning_rate": 0.00016,
|
| 13 |
+
"loss": 2.092,
|
| 14 |
+
"step": 2
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.02,
|
| 18 |
+
"learning_rate": 0.00032,
|
| 19 |
+
"loss": 2.0773,
|
| 20 |
+
"step": 4
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.04,
|
| 24 |
+
"learning_rate": 0.0003999958893916732,
|
| 25 |
+
"loss": 1.9915,
|
| 26 |
+
"step": 6
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.05,
|
| 30 |
+
"learning_rate": 0.00039996300553887804,
|
| 31 |
+
"loss": 2.1242,
|
| 32 |
+
"step": 8
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.06,
|
| 36 |
+
"learning_rate": 0.0003998972432401376,
|
| 37 |
+
"loss": 2.0798,
|
| 38 |
+
"step": 10
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.07,
|
| 42 |
+
"learning_rate": 0.00039979861330826294,
|
| 43 |
+
"loss": 2.099,
|
| 44 |
+
"step": 12
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.08,
|
| 48 |
+
"learning_rate": 0.0003996671319602482,
|
| 49 |
+
"loss": 2.0562,
|
| 50 |
+
"step": 14
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.1,
|
| 54 |
+
"learning_rate": 0.00039950282081460415,
|
| 55 |
+
"loss": 2.0909,
|
| 56 |
+
"step": 16
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.11,
|
| 60 |
+
"learning_rate": 0.0003993057068878037,
|
| 61 |
+
"loss": 2.0784,
|
| 62 |
+
"step": 18
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.12,
|
| 66 |
+
"learning_rate": 0.00039907582258983965,
|
| 67 |
+
"loss": 2.0465,
|
| 68 |
+
"step": 20
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.13,
|
| 72 |
+
"learning_rate": 0.00039881320571889605,
|
| 73 |
+
"loss": 2.173,
|
| 74 |
+
"step": 22
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.15,
|
| 78 |
+
"learning_rate": 0.000398517899455133,
|
| 79 |
+
"loss": 2.0897,
|
| 80 |
+
"step": 24
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.16,
|
| 84 |
+
"learning_rate": 0.00039818995235358696,
|
| 85 |
+
"loss": 2.057,
|
| 86 |
+
"step": 26
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.17,
|
| 90 |
+
"learning_rate": 0.00039782941833618724,
|
| 91 |
+
"loss": 2.0833,
|
| 92 |
+
"step": 28
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.18,
|
| 96 |
+
"learning_rate": 0.00039743635668289007,
|
| 97 |
+
"loss": 2.0256,
|
| 98 |
+
"step": 30
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.19,
|
| 102 |
+
"learning_rate": 0.0003970108320219314,
|
| 103 |
+
"loss": 2.0925,
|
| 104 |
+
"step": 32
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.21,
|
| 108 |
+
"learning_rate": 0.0003965529143192008,
|
| 109 |
+
"loss": 2.0337,
|
| 110 |
+
"step": 34
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.22,
|
| 114 |
+
"learning_rate": 0.0003960626788667375,
|
| 115 |
+
"loss": 2.0865,
|
| 116 |
+
"step": 36
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.23,
|
| 120 |
+
"learning_rate": 0.00039554020627035035,
|
| 121 |
+
"loss": 2.164,
|
| 122 |
+
"step": 38
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.24,
|
| 126 |
+
"learning_rate": 0.0003949855824363647,
|
| 127 |
+
"loss": 2.1327,
|
| 128 |
+
"step": 40
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.25,
|
| 132 |
+
"learning_rate": 0.00039439889855749763,
|
| 133 |
+
"loss": 2.171,
|
| 134 |
+
"step": 42
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 0.27,
|
| 138 |
+
"learning_rate": 0.0003937802510978631,
|
| 139 |
+
"loss": 2.0629,
|
| 140 |
+
"step": 44
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 0.28,
|
| 144 |
+
"learning_rate": 0.00039312974177711183,
|
| 145 |
+
"loss": 2.0344,
|
| 146 |
+
"step": 46
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.29,
|
| 150 |
+
"learning_rate": 0.0003924474775537058,
|
| 151 |
+
"loss": 2.071,
|
| 152 |
+
"step": 48
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.3,
|
| 156 |
+
"learning_rate": 0.0003917335706073321,
|
| 157 |
+
"loss": 2.11,
|
| 158 |
+
"step": 50
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.31,
|
| 162 |
+
"learning_rate": 0.0003909881383204581,
|
| 163 |
+
"loss": 2.1477,
|
| 164 |
+
"step": 52
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.33,
|
| 168 |
+
"learning_rate": 0.00039021130325903074,
|
| 169 |
+
"loss": 2.087,
|
| 170 |
+
"step": 54
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.34,
|
| 174 |
+
"learning_rate": 0.0003894031931523243,
|
| 175 |
+
"loss": 2.0943,
|
| 176 |
+
"step": 56
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.35,
|
| 180 |
+
"learning_rate": 0.0003885639408719386,
|
| 181 |
+
"loss": 2.0061,
|
| 182 |
+
"step": 58
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.36,
|
| 186 |
+
"learning_rate": 0.0003876936844099521,
|
| 187 |
+
"loss": 2.0888,
|
| 188 |
+
"step": 60
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.37,
|
| 192 |
+
"learning_rate": 0.00038679256685623264,
|
| 193 |
+
"loss": 2.1795,
|
| 194 |
+
"step": 62
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.39,
|
| 198 |
+
"learning_rate": 0.0003858607363749104,
|
| 199 |
+
"loss": 2.1248,
|
| 200 |
+
"step": 64
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.4,
|
| 204 |
+
"learning_rate": 0.00038489834618001635,
|
| 205 |
+
"loss": 2.0761,
|
| 206 |
+
"step": 66
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.41,
|
| 210 |
+
"learning_rate": 0.0003839055545102902,
|
| 211 |
+
"loss": 2.1293,
|
| 212 |
+
"step": 68
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.42,
|
| 216 |
+
"learning_rate": 0.00038288252460316253,
|
| 217 |
+
"loss": 2.0532,
|
| 218 |
+
"step": 70
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 0.44,
|
| 222 |
+
"learning_rate": 0.000381829424667915,
|
| 223 |
+
"loss": 2.1937,
|
| 224 |
+
"step": 72
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 0.45,
|
| 228 |
+
"learning_rate": 0.0003807464278580227,
|
| 229 |
+
"loss": 2.1357,
|
| 230 |
+
"step": 74
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 0.46,
|
| 234 |
+
"learning_rate": 0.0003796337122426838,
|
| 235 |
+
"loss": 2.132,
|
| 236 |
+
"step": 76
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.47,
|
| 240 |
+
"learning_rate": 0.0003784914607775412,
|
| 241 |
+
"loss": 2.0785,
|
| 242 |
+
"step": 78
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.48,
|
| 246 |
+
"learning_rate": 0.00037731986127460007,
|
| 247 |
+
"loss": 2.1671,
|
| 248 |
+
"step": 80
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.5,
|
| 252 |
+
"learning_rate": 0.0003761191063713476,
|
| 253 |
+
"loss": 2.1016,
|
| 254 |
+
"step": 82
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.51,
|
| 258 |
+
"learning_rate": 0.00037488939349907913,
|
| 259 |
+
"loss": 2.1284,
|
| 260 |
+
"step": 84
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 0.52,
|
| 264 |
+
"learning_rate": 0.0003736309248504357,
|
| 265 |
+
"loss": 2.1275,
|
| 266 |
+
"step": 86
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.53,
|
| 270 |
+
"learning_rate": 0.000372343907346159,
|
| 271 |
+
"loss": 2.0667,
|
| 272 |
+
"step": 88
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.54,
|
| 276 |
+
"learning_rate": 0.00037102855260106926,
|
| 277 |
+
"loss": 2.1596,
|
| 278 |
+
"step": 90
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 0.56,
|
| 282 |
+
"learning_rate": 0.0003696850768892705,
|
| 283 |
+
"loss": 2.1802,
|
| 284 |
+
"step": 92
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 0.57,
|
| 288 |
+
"learning_rate": 0.00036831370110859067,
|
| 289 |
+
"loss": 2.0789,
|
| 290 |
+
"step": 94
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.58,
|
| 294 |
+
"learning_rate": 0.00036691465074426054,
|
| 295 |
+
"loss": 2.1284,
|
| 296 |
+
"step": 96
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.59,
|
| 300 |
+
"learning_rate": 0.0003654881558318393,
|
| 301 |
+
"loss": 2.1499,
|
| 302 |
+
"step": 98
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 0.6,
|
| 306 |
+
"learning_rate": 0.0003640344509193912,
|
| 307 |
+
"loss": 2.063,
|
| 308 |
+
"step": 100
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 0.62,
|
| 312 |
+
"learning_rate": 0.00036255377502892054,
|
| 313 |
+
"loss": 2.0843,
|
| 314 |
+
"step": 102
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.63,
|
| 318 |
+
"learning_rate": 0.0003610463716170712,
|
| 319 |
+
"loss": 2.0807,
|
| 320 |
+
"step": 104
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 0.64,
|
| 324 |
+
"learning_rate": 0.00035951248853509696,
|
| 325 |
+
"loss": 2.0838,
|
| 326 |
+
"step": 106
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 0.65,
|
| 330 |
+
"learning_rate": 0.00035795237798810846,
|
| 331 |
+
"loss": 2.1357,
|
| 332 |
+
"step": 108
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.66,
|
| 336 |
+
"learning_rate": 0.000356366296493606,
|
| 337 |
+
"loss": 2.1482,
|
| 338 |
+
"step": 110
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.68,
|
| 342 |
+
"learning_rate": 0.00035475450483930137,
|
| 343 |
+
"loss": 2.0468,
|
| 344 |
+
"step": 112
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 0.69,
|
| 348 |
+
"learning_rate": 0.00035311726804023894,
|
| 349 |
+
"loss": 2.0996,
|
| 350 |
+
"step": 114
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 0.7,
|
| 354 |
+
"learning_rate": 0.0003514548552952211,
|
| 355 |
+
"loss": 2.1049,
|
| 356 |
+
"step": 116
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 0.71,
|
| 360 |
+
"learning_rate": 0.00034976753994254566,
|
| 361 |
+
"loss": 2.07,
|
| 362 |
+
"step": 118
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.73,
|
| 366 |
+
"learning_rate": 0.0003480555994150631,
|
| 367 |
+
"loss": 2.1217,
|
| 368 |
+
"step": 120
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.74,
|
| 372 |
+
"learning_rate": 0.0003463193151945603,
|
| 373 |
+
"loss": 2.0953,
|
| 374 |
+
"step": 122
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.75,
|
| 378 |
+
"learning_rate": 0.0003445589727654783,
|
| 379 |
+
"loss": 2.1044,
|
| 380 |
+
"step": 124
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.76,
|
| 384 |
+
"learning_rate": 0.0003427748615679726,
|
| 385 |
+
"loss": 2.0992,
|
| 386 |
+
"step": 126
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 0.77,
|
| 390 |
+
"learning_rate": 0.00034096727495032235,
|
| 391 |
+
"loss": 2.1416,
|
| 392 |
+
"step": 128
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 0.79,
|
| 396 |
+
"learning_rate": 0.00033913651012069734,
|
| 397 |
+
"loss": 2.1709,
|
| 398 |
+
"step": 130
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 0.8,
|
| 402 |
+
"learning_rate": 0.0003372828680982901,
|
| 403 |
+
"loss": 2.1202,
|
| 404 |
+
"step": 132
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 0.81,
|
| 408 |
+
"learning_rate": 0.0003354066536638219,
|
| 409 |
+
"loss": 2.145,
|
| 410 |
+
"step": 134
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.82,
|
| 414 |
+
"learning_rate": 0.0003335081753094296,
|
| 415 |
+
"loss": 2.1667,
|
| 416 |
+
"step": 136
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.83,
|
| 420 |
+
"learning_rate": 0.00033158774518794254,
|
| 421 |
+
"loss": 2.0619,
|
| 422 |
+
"step": 138
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.85,
|
| 426 |
+
"learning_rate": 0.00032964567906155774,
|
| 427 |
+
"loss": 2.0791,
|
| 428 |
+
"step": 140
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.86,
|
| 432 |
+
"learning_rate": 0.0003276822962499211,
|
| 433 |
+
"loss": 2.1484,
|
| 434 |
+
"step": 142
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 0.87,
|
| 438 |
+
"learning_rate": 0.0003256979195776247,
|
| 439 |
+
"loss": 2.1358,
|
| 440 |
+
"step": 144
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 0.88,
|
| 444 |
+
"learning_rate": 0.00032369287532112634,
|
| 445 |
+
"loss": 2.0854,
|
| 446 |
+
"step": 146
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 0.89,
|
| 450 |
+
"learning_rate": 0.0003216674931551027,
|
| 451 |
+
"loss": 2.1297,
|
| 452 |
+
"step": 148
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.91,
|
| 456 |
+
"learning_rate": 0.00031962210609824324,
|
| 457 |
+
"loss": 2.0643,
|
| 458 |
+
"step": 150
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.92,
|
| 462 |
+
"learning_rate": 0.00031755705045849464,
|
| 463 |
+
"loss": 2.1189,
|
| 464 |
+
"step": 152
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.93,
|
| 468 |
+
"learning_rate": 0.00031547266577776394,
|
| 469 |
+
"loss": 2.1361,
|
| 470 |
+
"step": 154
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 0.94,
|
| 474 |
+
"learning_rate": 0.00031336929477609,
|
| 475 |
+
"loss": 2.0426,
|
| 476 |
+
"step": 156
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 0.95,
|
| 480 |
+
"learning_rate": 0.000311247283295293,
|
| 481 |
+
"loss": 2.0954,
|
| 482 |
+
"step": 158
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 0.97,
|
| 486 |
+
"learning_rate": 0.0003091069802421097,
|
| 487 |
+
"loss": 2.1072,
|
| 488 |
+
"step": 160
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 0.98,
|
| 492 |
+
"learning_rate": 0.00030694873753082594,
|
| 493 |
+
"loss": 2.1506,
|
| 494 |
+
"step": 162
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.99,
|
| 498 |
+
"learning_rate": 0.0003047729100254131,
|
| 499 |
+
"loss": 2.1293,
|
| 500 |
+
"step": 164
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.01,
|
| 504 |
+
"learning_rate": 0.00030257985548118126,
|
| 505 |
+
"loss": 2.5226,
|
| 506 |
+
"step": 166
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 1.02,
|
| 510 |
+
"learning_rate": 0.00030036993448595556,
|
| 511 |
+
"loss": 2.0338,
|
| 512 |
+
"step": 168
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 1.03,
|
| 516 |
+
"learning_rate": 0.0002981435104007876,
|
| 517 |
+
"loss": 2.0049,
|
| 518 |
+
"step": 170
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 1.04,
|
| 522 |
+
"learning_rate": 0.0002959009493002108,
|
| 523 |
+
"loss": 2.0443,
|
| 524 |
+
"step": 172
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 1.05,
|
| 528 |
+
"learning_rate": 0.0002936426199120492,
|
| 529 |
+
"loss": 2.0638,
|
| 530 |
+
"step": 174
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 1.07,
|
| 534 |
+
"learning_rate": 0.0002913688935567903,
|
| 535 |
+
"loss": 2.039,
|
| 536 |
+
"step": 176
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 1.08,
|
| 540 |
+
"learning_rate": 0.0002890801440865318,
|
| 541 |
+
"loss": 1.9961,
|
| 542 |
+
"step": 178
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.09,
|
| 546 |
+
"learning_rate": 0.00028677674782351165,
|
| 547 |
+
"loss": 1.9829,
|
| 548 |
+
"step": 180
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 1.1,
|
| 552 |
+
"learning_rate": 0.000284459083498232,
|
| 553 |
+
"loss": 1.9802,
|
| 554 |
+
"step": 182
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 1.11,
|
| 558 |
+
"learning_rate": 0.0002821275321871876,
|
| 559 |
+
"loss": 2.012,
|
| 560 |
+
"step": 184
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 1.13,
|
| 564 |
+
"learning_rate": 0.0002797824772502084,
|
| 565 |
+
"loss": 1.9602,
|
| 566 |
+
"step": 186
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 1.14,
|
| 570 |
+
"learning_rate": 0.00027742430426742567,
|
| 571 |
+
"loss": 2.1046,
|
| 572 |
+
"step": 188
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 1.15,
|
| 576 |
+
"learning_rate": 0.0002750534009758749,
|
| 577 |
+
"loss": 2.046,
|
| 578 |
+
"step": 190
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 1.16,
|
| 582 |
+
"learning_rate": 0.0002726701572057423,
|
| 583 |
+
"loss": 2.0335,
|
| 584 |
+
"step": 192
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.18,
|
| 588 |
+
"learning_rate": 0.0002702749648162686,
|
| 589 |
+
"loss": 1.9656,
|
| 590 |
+
"step": 194
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 1.19,
|
| 594 |
+
"learning_rate": 0.0002678682176313175,
|
| 595 |
+
"loss": 1.9843,
|
| 596 |
+
"step": 196
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 1.2,
|
| 600 |
+
"learning_rate": 0.0002654503113746234,
|
| 601 |
+
"loss": 2.0132,
|
| 602 |
+
"step": 198
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 1.21,
|
| 606 |
+
"learning_rate": 0.0002630216436047242,
|
| 607 |
+
"loss": 2.0522,
|
| 608 |
+
"step": 200
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 1.22,
|
| 612 |
+
"learning_rate": 0.00026058261364959444,
|
| 613 |
+
"loss": 2.0108,
|
| 614 |
+
"step": 202
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 1.24,
|
| 618 |
+
"learning_rate": 0.00025813362254098677,
|
| 619 |
+
"loss": 2.0582,
|
| 620 |
+
"step": 204
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 1.25,
|
| 624 |
+
"learning_rate": 0.0002556750729484927,
|
| 625 |
+
"loss": 1.9982,
|
| 626 |
+
"step": 206
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.26,
|
| 630 |
+
"learning_rate": 0.00025320736911333503,
|
| 631 |
+
"loss": 2.0753,
|
| 632 |
+
"step": 208
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 1.27,
|
| 636 |
+
"learning_rate": 0.0002507309167819015,
|
| 637 |
+
"loss": 2.04,
|
| 638 |
+
"step": 210
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 1.28,
|
| 642 |
+
"learning_rate": 0.00024824612313903053,
|
| 643 |
+
"loss": 1.9574,
|
| 644 |
+
"step": 212
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 1.3,
|
| 648 |
+
"learning_rate": 0.0002457533967410611,
|
| 649 |
+
"loss": 2.06,
|
| 650 |
+
"step": 214
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 1.31,
|
| 654 |
+
"learning_rate": 0.00024325314744865672,
|
| 655 |
+
"loss": 2.0338,
|
| 656 |
+
"step": 216
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 1.32,
|
| 660 |
+
"learning_rate": 0.00024074578635941514,
|
| 661 |
+
"loss": 2.012,
|
| 662 |
+
"step": 218
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 1.33,
|
| 666 |
+
"learning_rate": 0.0002382317257402745,
|
| 667 |
+
"loss": 2.0156,
|
| 668 |
+
"step": 220
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.34,
|
| 672 |
+
"learning_rate": 0.00023571137895972733,
|
| 673 |
+
"loss": 2.0225,
|
| 674 |
+
"step": 222
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 1.36,
|
| 678 |
+
"learning_rate": 0.0002331851604198536,
|
| 679 |
+
"loss": 2.0278,
|
| 680 |
+
"step": 224
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 1.37,
|
| 684 |
+
"learning_rate": 0.00023065348548818317,
|
| 685 |
+
"loss": 2.1048,
|
| 686 |
+
"step": 226
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 1.38,
|
| 690 |
+
"learning_rate": 0.00022811677042940058,
|
| 691 |
+
"loss": 1.9557,
|
| 692 |
+
"step": 228
|
| 693 |
+
}
|
| 694 |
+
],
|
| 695 |
+
"max_steps": 495,
|
| 696 |
+
"num_train_epochs": 3,
|
| 697 |
+
"total_flos": 1.0784042558129439e+18,
|
| 698 |
+
"trial_name": null,
|
| 699 |
+
"trial_params": null
|
| 700 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:081e07496af6787b5dadb5157a5397bd0124fc9f76aba020e5d31ad74e6c8713
|
| 3 |
+
size 3695
|