Commit ·
f62df14
1
Parent(s): cce3acb
Upload folder using huggingface_hub
Browse files- README.md +21 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +32 -0
- train_args.json +123 -0
- training_args.bin +3 -0
- training_logs.json +1067 -0
README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: False
|
| 10 |
+
- load_in_4bit: True
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: nf4
|
| 16 |
+
- bnb_4bit_use_double_quant: True
|
| 17 |
+
- bnb_4bit_compute_dtype: float16
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "models/llama-30b",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"lora_dropout": 0.0,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 64,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"q_proj",
|
| 18 |
+
"v_proj"
|
| 19 |
+
],
|
| 20 |
+
"task_type": "SEQ_CLS"
|
| 21 |
+
}
|
adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e007bfab546c713139299797a401da211c0a4196a1d00bdc372b7d6968000e3d
|
| 3 |
+
size 409081617
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": true,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"__type": "AddedToken",
|
| 4 |
+
"content": "<s>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": true,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"clean_up_tokenization_spaces": false,
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"__type": "AddedToken",
|
| 13 |
+
"content": "</s>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false
|
| 18 |
+
},
|
| 19 |
+
"model_max_length": 2048,
|
| 20 |
+
"pad_token": null,
|
| 21 |
+
"sp_model_kwargs": {},
|
| 22 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"__type": "AddedToken",
|
| 25 |
+
"content": "<unk>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": true,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
},
|
| 31 |
+
"use_default_system_prompt": true
|
| 32 |
+
}
|
train_args.json
ADDED
|
@@ -0,0 +1,123 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"initial_model_dir": "models/llama-30b",
|
| 3 |
+
"distribution_id": "counterfactual_python",
|
| 4 |
+
"date_trained": "11/10/2023 22:44:38",
|
| 5 |
+
"output_dir": "models/classify_lora/llama-30b-counterfactual_python",
|
| 6 |
+
"overwrite_output_dir": false,
|
| 7 |
+
"do_train": false,
|
| 8 |
+
"do_eval": true,
|
| 9 |
+
"do_predict": false,
|
| 10 |
+
"evaluation_strategy": "steps",
|
| 11 |
+
"prediction_loss_only": false,
|
| 12 |
+
"per_device_train_batch_size": 8,
|
| 13 |
+
"per_device_eval_batch_size": 8,
|
| 14 |
+
"per_gpu_train_batch_size": null,
|
| 15 |
+
"per_gpu_eval_batch_size": null,
|
| 16 |
+
"gradient_accumulation_steps": 1,
|
| 17 |
+
"eval_accumulation_steps": null,
|
| 18 |
+
"eval_delay": 0,
|
| 19 |
+
"learning_rate": 0.0002,
|
| 20 |
+
"weight_decay": 0.0,
|
| 21 |
+
"adam_beta1": 0.9,
|
| 22 |
+
"adam_beta2": 0.999,
|
| 23 |
+
"adam_epsilon": 1e-08,
|
| 24 |
+
"max_grad_norm": 0.3,
|
| 25 |
+
"num_train_epochs": 2,
|
| 26 |
+
"max_steps": 100,
|
| 27 |
+
"lr_scheduler_type": "constant",
|
| 28 |
+
"warmup_ratio": 0.03,
|
| 29 |
+
"warmup_steps": 0,
|
| 30 |
+
"log_level": "passive",
|
| 31 |
+
"log_level_replica": "warning",
|
| 32 |
+
"log_on_each_node": true,
|
| 33 |
+
"logging_dir": "models/classify_lora/llama-30b-counterfactual_python/runs/Oct11_19-18-50_compute-permanent-node-978",
|
| 34 |
+
"logging_strategy": "steps",
|
| 35 |
+
"logging_first_step": false,
|
| 36 |
+
"logging_steps": 1,
|
| 37 |
+
"logging_nan_inf_filter": true,
|
| 38 |
+
"save_strategy": "steps",
|
| 39 |
+
"save_steps": 25,
|
| 40 |
+
"save_total_limit": 0,
|
| 41 |
+
"save_safetensors": false,
|
| 42 |
+
"save_on_each_node": false,
|
| 43 |
+
"no_cuda": false,
|
| 44 |
+
"use_cpu": false,
|
| 45 |
+
"use_mps_device": false,
|
| 46 |
+
"seed": 42,
|
| 47 |
+
"data_seed": null,
|
| 48 |
+
"jit_mode_eval": false,
|
| 49 |
+
"use_ipex": false,
|
| 50 |
+
"bf16": false,
|
| 51 |
+
"fp16": false,
|
| 52 |
+
"fp16_opt_level": "O1",
|
| 53 |
+
"half_precision_backend": "auto",
|
| 54 |
+
"bf16_full_eval": false,
|
| 55 |
+
"fp16_full_eval": false,
|
| 56 |
+
"tf32": null,
|
| 57 |
+
"local_rank": 0,
|
| 58 |
+
"ddp_backend": null,
|
| 59 |
+
"tpu_num_cores": null,
|
| 60 |
+
"tpu_metrics_debug": false,
|
| 61 |
+
"debug": [],
|
| 62 |
+
"dataloader_drop_last": false,
|
| 63 |
+
"eval_steps": 25,
|
| 64 |
+
"dataloader_num_workers": 0,
|
| 65 |
+
"past_index": -1,
|
| 66 |
+
"run_name": "train|models-classify_lora-llama-30b-counterfactual_python",
|
| 67 |
+
"disable_tqdm": false,
|
| 68 |
+
"remove_unused_columns": false,
|
| 69 |
+
"label_names": null,
|
| 70 |
+
"load_best_model_at_end": false,
|
| 71 |
+
"metric_for_best_model": "eval_counterfactual_python_score",
|
| 72 |
+
"greater_is_better": true,
|
| 73 |
+
"ignore_data_skip": false,
|
| 74 |
+
"sharded_ddp": [],
|
| 75 |
+
"fsdp": [],
|
| 76 |
+
"fsdp_min_num_params": 0,
|
| 77 |
+
"fsdp_config": {
|
| 78 |
+
"min_num_params": 0,
|
| 79 |
+
"xla": false,
|
| 80 |
+
"xla_fsdp_grad_ckpt": false
|
| 81 |
+
},
|
| 82 |
+
"fsdp_transformer_layer_cls_to_wrap": null,
|
| 83 |
+
"deepspeed": "configs/ds_zero_1.json",
|
| 84 |
+
"label_smoothing_factor": 0.0,
|
| 85 |
+
"optim": "paged_adamw_32bit",
|
| 86 |
+
"optim_args": null,
|
| 87 |
+
"adafactor": false,
|
| 88 |
+
"group_by_length": false,
|
| 89 |
+
"length_column_name": "length",
|
| 90 |
+
"report_to": [
|
| 91 |
+
"wandb"
|
| 92 |
+
],
|
| 93 |
+
"ddp_find_unused_parameters": false,
|
| 94 |
+
"ddp_bucket_cap_mb": null,
|
| 95 |
+
"ddp_broadcast_buffers": null,
|
| 96 |
+
"dataloader_pin_memory": true,
|
| 97 |
+
"skip_memory_metrics": true,
|
| 98 |
+
"use_legacy_prediction_loop": false,
|
| 99 |
+
"push_to_hub": false,
|
| 100 |
+
"resume_from_checkpoint": null,
|
| 101 |
+
"hub_model_id": null,
|
| 102 |
+
"hub_strategy": "every_save",
|
| 103 |
+
"hub_token": null,
|
| 104 |
+
"hub_private_repo": false,
|
| 105 |
+
"hub_always_push": false,
|
| 106 |
+
"gradient_checkpointing": false,
|
| 107 |
+
"include_inputs_for_metrics": false,
|
| 108 |
+
"fp16_backend": "auto",
|
| 109 |
+
"push_to_hub_model_id": null,
|
| 110 |
+
"push_to_hub_organization": null,
|
| 111 |
+
"push_to_hub_token": null,
|
| 112 |
+
"_n_gpu": 1,
|
| 113 |
+
"mp_parameters": "",
|
| 114 |
+
"auto_find_batch_size": false,
|
| 115 |
+
"full_determinism": false,
|
| 116 |
+
"torchdynamo": null,
|
| 117 |
+
"ray_scope": "last",
|
| 118 |
+
"ddp_timeout": 1800,
|
| 119 |
+
"torch_compile": false,
|
| 120 |
+
"torch_compile_backend": null,
|
| 121 |
+
"torch_compile_mode": null,
|
| 122 |
+
"dispatch_batches": null
|
| 123 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:602fc99e1c86a4bdc92f07dc65e8d5533256d6b46979ab0ca9b952f8fe299be8
|
| 3 |
+
size 5179
|
training_logs.json
ADDED
|
@@ -0,0 +1,1067 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"loss": 0.7267,
|
| 4 |
+
"learning_rate": 0.0002,
|
| 5 |
+
"epoch": 0.02,
|
| 6 |
+
"step": 1
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"loss": 0.7475,
|
| 10 |
+
"learning_rate": 0.0002,
|
| 11 |
+
"epoch": 0.04,
|
| 12 |
+
"step": 2
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"loss": 0.7129,
|
| 16 |
+
"learning_rate": 0.0002,
|
| 17 |
+
"epoch": 0.05,
|
| 18 |
+
"step": 3
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"loss": 0.7034,
|
| 22 |
+
"learning_rate": 0.0002,
|
| 23 |
+
"epoch": 0.07,
|
| 24 |
+
"step": 4
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"loss": 0.665,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"epoch": 0.09,
|
| 30 |
+
"step": 5
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"loss": 0.6779,
|
| 34 |
+
"learning_rate": 0.0002,
|
| 35 |
+
"epoch": 0.11,
|
| 36 |
+
"step": 6
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"loss": 0.6348,
|
| 40 |
+
"learning_rate": 0.0002,
|
| 41 |
+
"epoch": 0.12,
|
| 42 |
+
"step": 7
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"loss": 0.6383,
|
| 46 |
+
"learning_rate": 0.0002,
|
| 47 |
+
"epoch": 0.14,
|
| 48 |
+
"step": 8
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"loss": 0.631,
|
| 52 |
+
"learning_rate": 0.0002,
|
| 53 |
+
"epoch": 0.16,
|
| 54 |
+
"step": 9
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"loss": 0.6209,
|
| 58 |
+
"learning_rate": 0.0002,
|
| 59 |
+
"epoch": 0.18,
|
| 60 |
+
"step": 10
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"loss": 0.5937,
|
| 64 |
+
"learning_rate": 0.0002,
|
| 65 |
+
"epoch": 0.19,
|
| 66 |
+
"step": 11
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"loss": 0.6977,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"epoch": 0.21,
|
| 72 |
+
"step": 12
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"loss": 0.5979,
|
| 76 |
+
"learning_rate": 0.0002,
|
| 77 |
+
"epoch": 0.23,
|
| 78 |
+
"step": 13
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"loss": 0.6154,
|
| 82 |
+
"learning_rate": 0.0002,
|
| 83 |
+
"epoch": 0.25,
|
| 84 |
+
"step": 14
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"loss": 0.5795,
|
| 88 |
+
"learning_rate": 0.0002,
|
| 89 |
+
"epoch": 0.26,
|
| 90 |
+
"step": 15
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"loss": 0.544,
|
| 94 |
+
"learning_rate": 0.0002,
|
| 95 |
+
"epoch": 0.28,
|
| 96 |
+
"step": 16
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"loss": 0.5197,
|
| 100 |
+
"learning_rate": 0.0002,
|
| 101 |
+
"epoch": 0.3,
|
| 102 |
+
"step": 17
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"loss": 0.5379,
|
| 106 |
+
"learning_rate": 0.0002,
|
| 107 |
+
"epoch": 0.32,
|
| 108 |
+
"step": 18
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"loss": 0.5021,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"epoch": 0.33,
|
| 114 |
+
"step": 19
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"loss": 0.5519,
|
| 118 |
+
"learning_rate": 0.0002,
|
| 119 |
+
"epoch": 0.35,
|
| 120 |
+
"step": 20
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"loss": 0.3599,
|
| 124 |
+
"learning_rate": 0.0002,
|
| 125 |
+
"epoch": 0.37,
|
| 126 |
+
"step": 21
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"loss": 0.3701,
|
| 130 |
+
"learning_rate": 0.0002,
|
| 131 |
+
"epoch": 0.39,
|
| 132 |
+
"step": 22
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"loss": 0.3876,
|
| 136 |
+
"learning_rate": 0.0002,
|
| 137 |
+
"epoch": 0.4,
|
| 138 |
+
"step": 23
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"loss": 0.4935,
|
| 142 |
+
"learning_rate": 0.0002,
|
| 143 |
+
"epoch": 0.42,
|
| 144 |
+
"step": 24
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"loss": 0.3393,
|
| 148 |
+
"learning_rate": 0.0002,
|
| 149 |
+
"epoch": 0.44,
|
| 150 |
+
"step": 25
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"eval_counterfactual_python_loss": 0.5252675414085388,
|
| 154 |
+
"eval_counterfactual_python_score": -0.17967264354228973,
|
| 155 |
+
"eval_counterfactual_python_brier_score": 0.17967264354228973,
|
| 156 |
+
"eval_counterfactual_python_average_probability": 0.6397440433502197,
|
| 157 |
+
"eval_counterfactual_python_accuracy": 0.7,
|
| 158 |
+
"eval_counterfactual_python_probabilities": [
|
| 159 |
+
0.4025430381298065,
|
| 160 |
+
0.5528247356414795,
|
| 161 |
+
0.47615763545036316,
|
| 162 |
+
0.6959042549133301,
|
| 163 |
+
0.8683016896247864,
|
| 164 |
+
0.5814028978347778,
|
| 165 |
+
0.9853832721710205,
|
| 166 |
+
0.9737173318862915,
|
| 167 |
+
0.9730455279350281,
|
| 168 |
+
0.6918718814849854,
|
| 169 |
+
0.7678124904632568,
|
| 170 |
+
0.8197428584098816,
|
| 171 |
+
0.24617619812488556,
|
| 172 |
+
0.18144360184669495,
|
| 173 |
+
0.49834251403808594,
|
| 174 |
+
0.4999594986438751,
|
| 175 |
+
0.5225722193717957,
|
| 176 |
+
0.549166738986969,
|
| 177 |
+
0.4152355194091797,
|
| 178 |
+
0.49979662895202637,
|
| 179 |
+
0.625713050365448,
|
| 180 |
+
0.9987924098968506,
|
| 181 |
+
0.9986341595649719,
|
| 182 |
+
0.994375467300415,
|
| 183 |
+
0.49697279930114746,
|
| 184 |
+
0.4968659281730652,
|
| 185 |
+
0.49697089195251465,
|
| 186 |
+
0.29426684975624084,
|
| 187 |
+
0.25772419571876526,
|
| 188 |
+
0.30741405487060547,
|
| 189 |
+
0.5369154214859009,
|
| 190 |
+
0.5779776573181152,
|
| 191 |
+
0.6455713510513306,
|
| 192 |
+
0.6177799701690674,
|
| 193 |
+
0.19178180396556854,
|
| 194 |
+
0.5004286766052246,
|
| 195 |
+
0.7225919961929321,
|
| 196 |
+
0.8483408689498901,
|
| 197 |
+
0.8276102542877197,
|
| 198 |
+
0.9511324763298035,
|
| 199 |
+
0.419515460729599,
|
| 200 |
+
0.9256934523582458,
|
| 201 |
+
0.5638550519943237,
|
| 202 |
+
0.5625154376029968,
|
| 203 |
+
0.582371175289154,
|
| 204 |
+
0.5088287591934204,
|
| 205 |
+
0.5198321342468262,
|
| 206 |
+
0.641878604888916,
|
| 207 |
+
0.5253497958183289,
|
| 208 |
+
0.5171144008636475,
|
| 209 |
+
0.44931524991989136,
|
| 210 |
+
0.4930219054222107,
|
| 211 |
+
0.5069854259490967,
|
| 212 |
+
0.4950384795665741,
|
| 213 |
+
0.583296537399292,
|
| 214 |
+
0.5797522664070129,
|
| 215 |
+
0.5488704442977905,
|
| 216 |
+
0.7991865277290344,
|
| 217 |
+
0.8513537645339966,
|
| 218 |
+
0.8732610940933228,
|
| 219 |
+
0.9988094568252563,
|
| 220 |
+
0.9998262524604797,
|
| 221 |
+
0.5824344158172607,
|
| 222 |
+
0.34026870131492615,
|
| 223 |
+
0.9388225674629211,
|
| 224 |
+
0.8998932838439941,
|
| 225 |
+
0.3803667426109314,
|
| 226 |
+
0.4962526261806488,
|
| 227 |
+
0.4445868134498596,
|
| 228 |
+
0.9827463626861572,
|
| 229 |
+
0.6281481385231018,
|
| 230 |
+
0.8289045095443726,
|
| 231 |
+
0.7434202432632446,
|
| 232 |
+
0.9557695984840393,
|
| 233 |
+
0.8553952574729919,
|
| 234 |
+
0.4993739724159241,
|
| 235 |
+
0.507488489151001,
|
| 236 |
+
0.4998803734779358,
|
| 237 |
+
0.33029648661613464,
|
| 238 |
+
0.9249886274337769,
|
| 239 |
+
0.7706435322761536,
|
| 240 |
+
0.5717030763626099,
|
| 241 |
+
0.5553368330001831,
|
| 242 |
+
0.42045503854751587,
|
| 243 |
+
0.6942585706710815,
|
| 244 |
+
0.4067814350128174,
|
| 245 |
+
0.5246282815933228,
|
| 246 |
+
0.999351441860199,
|
| 247 |
+
0.9990257024765015,
|
| 248 |
+
0.9996531009674072,
|
| 249 |
+
0.9997257590293884,
|
| 250 |
+
0.23714148998260498,
|
| 251 |
+
0.9996090531349182,
|
| 252 |
+
0.5393978953361511,
|
| 253 |
+
0.5126370787620544,
|
| 254 |
+
0.5462245345115662,
|
| 255 |
+
0.8258392214775085,
|
| 256 |
+
0.7742918133735657,
|
| 257 |
+
0.7620702981948853,
|
| 258 |
+
0.4616592526435852
|
| 259 |
+
],
|
| 260 |
+
"eval_counterfactual_python_runtime": 148.0359,
|
| 261 |
+
"eval_counterfactual_python_samples_per_second": 0.676,
|
| 262 |
+
"eval_counterfactual_python_steps_per_second": 0.027,
|
| 263 |
+
"epoch": 0.44,
|
| 264 |
+
"step": 25
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"loss": 0.3693,
|
| 268 |
+
"learning_rate": 0.0002,
|
| 269 |
+
"epoch": 0.46,
|
| 270 |
+
"step": 26
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"loss": 0.4004,
|
| 274 |
+
"learning_rate": 0.0002,
|
| 275 |
+
"epoch": 0.47,
|
| 276 |
+
"step": 27
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"loss": 0.438,
|
| 280 |
+
"learning_rate": 0.0002,
|
| 281 |
+
"epoch": 0.49,
|
| 282 |
+
"step": 28
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"loss": 0.521,
|
| 286 |
+
"learning_rate": 0.0002,
|
| 287 |
+
"epoch": 0.51,
|
| 288 |
+
"step": 29
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"loss": 0.313,
|
| 292 |
+
"learning_rate": 0.0002,
|
| 293 |
+
"epoch": 0.53,
|
| 294 |
+
"step": 30
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"loss": 0.3143,
|
| 298 |
+
"learning_rate": 0.0002,
|
| 299 |
+
"epoch": 0.54,
|
| 300 |
+
"step": 31
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"loss": 0.236,
|
| 304 |
+
"learning_rate": 0.0002,
|
| 305 |
+
"epoch": 0.56,
|
| 306 |
+
"step": 32
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"loss": 0.2236,
|
| 310 |
+
"learning_rate": 0.0002,
|
| 311 |
+
"epoch": 0.58,
|
| 312 |
+
"step": 33
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"loss": 0.214,
|
| 316 |
+
"learning_rate": 0.0002,
|
| 317 |
+
"epoch": 0.6,
|
| 318 |
+
"step": 34
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"loss": 0.2578,
|
| 322 |
+
"learning_rate": 0.0002,
|
| 323 |
+
"epoch": 0.61,
|
| 324 |
+
"step": 35
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"loss": 0.3763,
|
| 328 |
+
"learning_rate": 0.0002,
|
| 329 |
+
"epoch": 0.63,
|
| 330 |
+
"step": 36
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"loss": 0.3423,
|
| 334 |
+
"learning_rate": 0.0002,
|
| 335 |
+
"epoch": 0.65,
|
| 336 |
+
"step": 37
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"loss": 0.3139,
|
| 340 |
+
"learning_rate": 0.0002,
|
| 341 |
+
"epoch": 0.67,
|
| 342 |
+
"step": 38
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"loss": 0.2759,
|
| 346 |
+
"learning_rate": 0.0002,
|
| 347 |
+
"epoch": 0.68,
|
| 348 |
+
"step": 39
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"loss": 0.26,
|
| 352 |
+
"learning_rate": 0.0002,
|
| 353 |
+
"epoch": 0.7,
|
| 354 |
+
"step": 40
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"loss": 0.2124,
|
| 358 |
+
"learning_rate": 0.0002,
|
| 359 |
+
"epoch": 0.72,
|
| 360 |
+
"step": 41
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"loss": 0.1433,
|
| 364 |
+
"learning_rate": 0.0002,
|
| 365 |
+
"epoch": 0.74,
|
| 366 |
+
"step": 42
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"loss": 0.1857,
|
| 370 |
+
"learning_rate": 0.0002,
|
| 371 |
+
"epoch": 0.75,
|
| 372 |
+
"step": 43
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"loss": 0.2408,
|
| 376 |
+
"learning_rate": 0.0002,
|
| 377 |
+
"epoch": 0.77,
|
| 378 |
+
"step": 44
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"loss": 0.1516,
|
| 382 |
+
"learning_rate": 0.0002,
|
| 383 |
+
"epoch": 0.79,
|
| 384 |
+
"step": 45
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"loss": 0.1665,
|
| 388 |
+
"learning_rate": 0.0002,
|
| 389 |
+
"epoch": 0.81,
|
| 390 |
+
"step": 46
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"loss": 0.1697,
|
| 394 |
+
"learning_rate": 0.0002,
|
| 395 |
+
"epoch": 0.82,
|
| 396 |
+
"step": 47
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"loss": 0.2497,
|
| 400 |
+
"learning_rate": 0.0002,
|
| 401 |
+
"epoch": 0.84,
|
| 402 |
+
"step": 48
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"loss": 0.1385,
|
| 406 |
+
"learning_rate": 0.0002,
|
| 407 |
+
"epoch": 0.86,
|
| 408 |
+
"step": 49
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"loss": 0.407,
|
| 412 |
+
"learning_rate": 0.0002,
|
| 413 |
+
"epoch": 0.88,
|
| 414 |
+
"step": 50
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"eval_counterfactual_python_loss": 0.29242223501205444,
|
| 418 |
+
"eval_counterfactual_python_score": -0.09144061803817749,
|
| 419 |
+
"eval_counterfactual_python_brier_score": 0.09144061803817749,
|
| 420 |
+
"eval_counterfactual_python_average_probability": 0.832301914691925,
|
| 421 |
+
"eval_counterfactual_python_accuracy": 0.85,
|
| 422 |
+
"eval_counterfactual_python_probabilities": [
|
| 423 |
+
0.8290666937828064,
|
| 424 |
+
0.722215473651886,
|
| 425 |
+
0.46660611033439636,
|
| 426 |
+
0.9995954632759094,
|
| 427 |
+
0.9999638795852661,
|
| 428 |
+
0.9738278985023499,
|
| 429 |
+
0.9999997615814209,
|
| 430 |
+
0.9999768733978271,
|
| 431 |
+
0.9999955892562866,
|
| 432 |
+
0.9996802806854248,
|
| 433 |
+
0.9999997615814209,
|
| 434 |
+
1.0,
|
| 435 |
+
0.9777297973632812,
|
| 436 |
+
0.9214583039283752,
|
| 437 |
+
0.4395189583301544,
|
| 438 |
+
0.8484328985214233,
|
| 439 |
+
0.8188106417655945,
|
| 440 |
+
0.8696801662445068,
|
| 441 |
+
0.4704320430755615,
|
| 442 |
+
0.46570122241973877,
|
| 443 |
+
0.9953906536102295,
|
| 444 |
+
1.0,
|
| 445 |
+
1.0,
|
| 446 |
+
1.0,
|
| 447 |
+
0.5039901733398438,
|
| 448 |
+
0.47521868348121643,
|
| 449 |
+
0.48840612173080444,
|
| 450 |
+
0.9961138963699341,
|
| 451 |
+
0.9878486394882202,
|
| 452 |
+
0.9522193670272827,
|
| 453 |
+
0.9642688632011414,
|
| 454 |
+
0.9077231287956238,
|
| 455 |
+
0.9924706220626831,
|
| 456 |
+
0.9999290704727173,
|
| 457 |
+
0.9531584978103638,
|
| 458 |
+
0.7073849439620972,
|
| 459 |
+
0.9996718168258667,
|
| 460 |
+
0.9998449087142944,
|
| 461 |
+
0.9999879598617554,
|
| 462 |
+
0.997260570526123,
|
| 463 |
+
0.1481434404850006,
|
| 464 |
+
0.9989271759986877,
|
| 465 |
+
0.7633799910545349,
|
| 466 |
+
0.7661910057067871,
|
| 467 |
+
0.780919075012207,
|
| 468 |
+
0.7627673149108887,
|
| 469 |
+
0.7168733477592468,
|
| 470 |
+
0.9922469854354858,
|
| 471 |
+
0.9810456037521362,
|
| 472 |
+
0.7025057077407837,
|
| 473 |
+
0.8261442184448242,
|
| 474 |
+
0.4840741455554962,
|
| 475 |
+
0.5068047642707825,
|
| 476 |
+
0.5053709149360657,
|
| 477 |
+
0.830937385559082,
|
| 478 |
+
0.3105810284614563,
|
| 479 |
+
0.2717106342315674,
|
| 480 |
+
0.9999955892562866,
|
| 481 |
+
0.9999982118606567,
|
| 482 |
+
1.0,
|
| 483 |
+
1.0,
|
| 484 |
+
1.0,
|
| 485 |
+
0.9773229360580444,
|
| 486 |
+
0.046078674495220184,
|
| 487 |
+
0.9999560117721558,
|
| 488 |
+
0.9981380701065063,
|
| 489 |
+
0.9797940850257874,
|
| 490 |
+
0.9963685274124146,
|
| 491 |
+
0.9252886772155762,
|
| 492 |
+
0.9999996423721313,
|
| 493 |
+
0.9313779473304749,
|
| 494 |
+
0.9999939203262329,
|
| 495 |
+
0.9999730587005615,
|
| 496 |
+
1.0,
|
| 497 |
+
0.9999995231628418,
|
| 498 |
+
0.5195990800857544,
|
| 499 |
+
0.5784486532211304,
|
| 500 |
+
0.4819834530353546,
|
| 501 |
+
0.9729602932929993,
|
| 502 |
+
0.999876856803894,
|
| 503 |
+
0.035117629915475845,
|
| 504 |
+
0.9384076595306396,
|
| 505 |
+
0.9384472370147705,
|
| 506 |
+
0.9755933284759521,
|
| 507 |
+
0.9469432830810547,
|
| 508 |
+
0.9951752424240112,
|
| 509 |
+
0.9880732893943787,
|
| 510 |
+
1.0,
|
| 511 |
+
0.9999998807907104,
|
| 512 |
+
1.0,
|
| 513 |
+
0.9999998807907104,
|
| 514 |
+
0.30771708488464355,
|
| 515 |
+
0.9999998807907104,
|
| 516 |
+
0.10123192518949509,
|
| 517 |
+
0.9289315938949585,
|
| 518 |
+
0.6148931980133057,
|
| 519 |
+
0.9964861869812012,
|
| 520 |
+
0.9967578053474426,
|
| 521 |
+
0.9945474863052368,
|
| 522 |
+
0.9925133585929871
|
| 523 |
+
],
|
| 524 |
+
"eval_counterfactual_python_runtime": 148.1291,
|
| 525 |
+
"eval_counterfactual_python_samples_per_second": 0.675,
|
| 526 |
+
"eval_counterfactual_python_steps_per_second": 0.027,
|
| 527 |
+
"epoch": 0.88,
|
| 528 |
+
"step": 50
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"loss": 0.1957,
|
| 532 |
+
"learning_rate": 0.0002,
|
| 533 |
+
"epoch": 0.89,
|
| 534 |
+
"step": 51
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"loss": 0.0807,
|
| 538 |
+
"learning_rate": 0.0002,
|
| 539 |
+
"epoch": 0.91,
|
| 540 |
+
"step": 52
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"loss": 0.1052,
|
| 544 |
+
"learning_rate": 0.0002,
|
| 545 |
+
"epoch": 0.93,
|
| 546 |
+
"step": 53
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"loss": 0.2074,
|
| 550 |
+
"learning_rate": 0.0002,
|
| 551 |
+
"epoch": 0.95,
|
| 552 |
+
"step": 54
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"loss": 0.1715,
|
| 556 |
+
"learning_rate": 0.0002,
|
| 557 |
+
"epoch": 0.96,
|
| 558 |
+
"step": 55
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"loss": 0.1933,
|
| 562 |
+
"learning_rate": 0.0002,
|
| 563 |
+
"epoch": 0.98,
|
| 564 |
+
"step": 56
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"loss": 0.2105,
|
| 568 |
+
"learning_rate": 0.0002,
|
| 569 |
+
"epoch": 1.0,
|
| 570 |
+
"step": 57
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"loss": 0.1486,
|
| 574 |
+
"learning_rate": 0.0002,
|
| 575 |
+
"epoch": 1.02,
|
| 576 |
+
"step": 58
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"loss": 0.1069,
|
| 580 |
+
"learning_rate": 0.0002,
|
| 581 |
+
"epoch": 1.04,
|
| 582 |
+
"step": 59
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"loss": 0.145,
|
| 586 |
+
"learning_rate": 0.0002,
|
| 587 |
+
"epoch": 1.05,
|
| 588 |
+
"step": 60
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"loss": 0.4571,
|
| 592 |
+
"learning_rate": 0.0002,
|
| 593 |
+
"epoch": 1.07,
|
| 594 |
+
"step": 61
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"loss": 0.1236,
|
| 598 |
+
"learning_rate": 0.0002,
|
| 599 |
+
"epoch": 1.09,
|
| 600 |
+
"step": 62
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"loss": 0.1594,
|
| 604 |
+
"learning_rate": 0.0002,
|
| 605 |
+
"epoch": 1.11,
|
| 606 |
+
"step": 63
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"loss": 0.2509,
|
| 610 |
+
"learning_rate": 0.0002,
|
| 611 |
+
"epoch": 1.12,
|
| 612 |
+
"step": 64
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"loss": 0.0534,
|
| 616 |
+
"learning_rate": 0.0002,
|
| 617 |
+
"epoch": 1.14,
|
| 618 |
+
"step": 65
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"loss": 0.1777,
|
| 622 |
+
"learning_rate": 0.0002,
|
| 623 |
+
"epoch": 1.16,
|
| 624 |
+
"step": 66
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"loss": 0.0901,
|
| 628 |
+
"learning_rate": 0.0002,
|
| 629 |
+
"epoch": 1.18,
|
| 630 |
+
"step": 67
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"loss": 0.129,
|
| 634 |
+
"learning_rate": 0.0002,
|
| 635 |
+
"epoch": 1.19,
|
| 636 |
+
"step": 68
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"loss": 0.1711,
|
| 640 |
+
"learning_rate": 0.0002,
|
| 641 |
+
"epoch": 1.21,
|
| 642 |
+
"step": 69
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"loss": 0.0677,
|
| 646 |
+
"learning_rate": 0.0002,
|
| 647 |
+
"epoch": 1.23,
|
| 648 |
+
"step": 70
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"loss": 0.1116,
|
| 652 |
+
"learning_rate": 0.0002,
|
| 653 |
+
"epoch": 1.25,
|
| 654 |
+
"step": 71
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"loss": 0.1108,
|
| 658 |
+
"learning_rate": 0.0002,
|
| 659 |
+
"epoch": 1.26,
|
| 660 |
+
"step": 72
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"loss": 0.1781,
|
| 664 |
+
"learning_rate": 0.0002,
|
| 665 |
+
"epoch": 1.28,
|
| 666 |
+
"step": 73
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"loss": 0.1448,
|
| 670 |
+
"learning_rate": 0.0002,
|
| 671 |
+
"epoch": 1.3,
|
| 672 |
+
"step": 74
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"loss": 0.0744,
|
| 676 |
+
"learning_rate": 0.0002,
|
| 677 |
+
"epoch": 1.32,
|
| 678 |
+
"step": 75
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"eval_counterfactual_python_loss": 0.28377440571784973,
|
| 682 |
+
"eval_counterfactual_python_score": -0.08204667270183563,
|
| 683 |
+
"eval_counterfactual_python_brier_score": 0.08204667270183563,
|
| 684 |
+
"eval_counterfactual_python_average_probability": 0.8536213636398315,
|
| 685 |
+
"eval_counterfactual_python_accuracy": 0.88,
|
| 686 |
+
"eval_counterfactual_python_probabilities": [
|
| 687 |
+
0.7314821481704712,
|
| 688 |
+
0.6076691150665283,
|
| 689 |
+
0.8401762843132019,
|
| 690 |
+
1.0,
|
| 691 |
+
1.0,
|
| 692 |
+
0.9999144077301025,
|
| 693 |
+
0.9999707937240601,
|
| 694 |
+
0.9990261793136597,
|
| 695 |
+
0.9999970197677612,
|
| 696 |
+
0.9999995231628418,
|
| 697 |
+
1.0,
|
| 698 |
+
1.0,
|
| 699 |
+
0.9851574897766113,
|
| 700 |
+
0.9987278580665588,
|
| 701 |
+
0.7278057932853699,
|
| 702 |
+
0.9989540576934814,
|
| 703 |
+
0.9577045440673828,
|
| 704 |
+
0.9996967315673828,
|
| 705 |
+
0.8599286079406738,
|
| 706 |
+
0.6400872468948364,
|
| 707 |
+
0.9996253252029419,
|
| 708 |
+
1.0,
|
| 709 |
+
1.0,
|
| 710 |
+
1.0,
|
| 711 |
+
0.4713297188282013,
|
| 712 |
+
0.4340597093105316,
|
| 713 |
+
0.49946117401123047,
|
| 714 |
+
0.9943854808807373,
|
| 715 |
+
0.9441508054733276,
|
| 716 |
+
0.40594908595085144,
|
| 717 |
+
0.999798595905304,
|
| 718 |
+
0.9884153604507446,
|
| 719 |
+
0.9999252557754517,
|
| 720 |
+
0.9998832941055298,
|
| 721 |
+
0.5778541564941406,
|
| 722 |
+
0.7453824877738953,
|
| 723 |
+
0.9987145662307739,
|
| 724 |
+
0.9973467588424683,
|
| 725 |
+
0.9996333122253418,
|
| 726 |
+
0.9934130311012268,
|
| 727 |
+
0.11255636811256409,
|
| 728 |
+
0.9982492923736572,
|
| 729 |
+
0.9238725900650024,
|
| 730 |
+
0.897457480430603,
|
| 731 |
+
0.9157965779304504,
|
| 732 |
+
0.8991203904151917,
|
| 733 |
+
0.8065866231918335,
|
| 734 |
+
0.9779689908027649,
|
| 735 |
+
0.9991044402122498,
|
| 736 |
+
0.8109013438224792,
|
| 737 |
+
0.9344987869262695,
|
| 738 |
+
0.500009298324585,
|
| 739 |
+
0.47979214787483215,
|
| 740 |
+
0.4675668179988861,
|
| 741 |
+
0.5211988091468811,
|
| 742 |
+
0.07348980754613876,
|
| 743 |
+
0.1781739592552185,
|
| 744 |
+
1.0,
|
| 745 |
+
1.0,
|
| 746 |
+
1.0,
|
| 747 |
+
1.0,
|
| 748 |
+
1.0,
|
| 749 |
+
0.9885606169700623,
|
| 750 |
+
0.07429847121238708,
|
| 751 |
+
0.9980649352073669,
|
| 752 |
+
0.9804439544677734,
|
| 753 |
+
0.9987780451774597,
|
| 754 |
+
0.9999980926513672,
|
| 755 |
+
0.9976346492767334,
|
| 756 |
+
0.9999933242797852,
|
| 757 |
+
0.8009048700332642,
|
| 758 |
+
0.9995360374450684,
|
| 759 |
+
0.9999793767929077,
|
| 760 |
+
1.0,
|
| 761 |
+
0.9999977350234985,
|
| 762 |
+
0.4885472059249878,
|
| 763 |
+
0.5760848522186279,
|
| 764 |
+
0.5441920757293701,
|
| 765 |
+
0.9674233198165894,
|
| 766 |
+
0.9999856948852539,
|
| 767 |
+
0.7198473811149597,
|
| 768 |
+
0.9999222755432129,
|
| 769 |
+
0.9998089671134949,
|
| 770 |
+
0.9999643564224243,
|
| 771 |
+
0.9132568836212158,
|
| 772 |
+
0.9998493194580078,
|
| 773 |
+
0.9883948564529419,
|
| 774 |
+
0.9999967813491821,
|
| 775 |
+
0.9999957084655762,
|
| 776 |
+
0.9999996423721313,
|
| 777 |
+
1.0,
|
| 778 |
+
0.5809887647628784,
|
| 779 |
+
1.0,
|
| 780 |
+
0.003951054997742176,
|
| 781 |
+
0.9936642646789551,
|
| 782 |
+
0.9005458354949951,
|
| 783 |
+
0.9965581297874451,
|
| 784 |
+
0.9894922971725464,
|
| 785 |
+
0.9695391654968262,
|
| 786 |
+
0.999969482421875
|
| 787 |
+
],
|
| 788 |
+
"eval_counterfactual_python_runtime": 147.9617,
|
| 789 |
+
"eval_counterfactual_python_samples_per_second": 0.676,
|
| 790 |
+
"eval_counterfactual_python_steps_per_second": 0.027,
|
| 791 |
+
"epoch": 1.32,
|
| 792 |
+
"step": 75
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"loss": 0.0919,
|
| 796 |
+
"learning_rate": 0.0002,
|
| 797 |
+
"epoch": 1.33,
|
| 798 |
+
"step": 76
|
| 799 |
+
},
|
| 800 |
+
{
|
| 801 |
+
"loss": 0.0825,
|
| 802 |
+
"learning_rate": 0.0002,
|
| 803 |
+
"epoch": 1.35,
|
| 804 |
+
"step": 77
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"loss": 0.1998,
|
| 808 |
+
"learning_rate": 0.0002,
|
| 809 |
+
"epoch": 1.37,
|
| 810 |
+
"step": 78
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"loss": 0.1246,
|
| 814 |
+
"learning_rate": 0.0002,
|
| 815 |
+
"epoch": 1.39,
|
| 816 |
+
"step": 79
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"loss": 0.1369,
|
| 820 |
+
"learning_rate": 0.0002,
|
| 821 |
+
"epoch": 1.4,
|
| 822 |
+
"step": 80
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"loss": 0.0591,
|
| 826 |
+
"learning_rate": 0.0002,
|
| 827 |
+
"epoch": 1.42,
|
| 828 |
+
"step": 81
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"loss": 0.0996,
|
| 832 |
+
"learning_rate": 0.0002,
|
| 833 |
+
"epoch": 1.44,
|
| 834 |
+
"step": 82
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"loss": 0.0764,
|
| 838 |
+
"learning_rate": 0.0002,
|
| 839 |
+
"epoch": 1.46,
|
| 840 |
+
"step": 83
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"loss": 0.056,
|
| 844 |
+
"learning_rate": 0.0002,
|
| 845 |
+
"epoch": 1.47,
|
| 846 |
+
"step": 84
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"loss": 0.1234,
|
| 850 |
+
"learning_rate": 0.0002,
|
| 851 |
+
"epoch": 1.49,
|
| 852 |
+
"step": 85
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"loss": 0.1211,
|
| 856 |
+
"learning_rate": 0.0002,
|
| 857 |
+
"epoch": 1.51,
|
| 858 |
+
"step": 86
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"loss": 0.0923,
|
| 862 |
+
"learning_rate": 0.0002,
|
| 863 |
+
"epoch": 1.53,
|
| 864 |
+
"step": 87
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"loss": 0.0738,
|
| 868 |
+
"learning_rate": 0.0002,
|
| 869 |
+
"epoch": 1.54,
|
| 870 |
+
"step": 88
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"loss": 0.3737,
|
| 874 |
+
"learning_rate": 0.0002,
|
| 875 |
+
"epoch": 1.56,
|
| 876 |
+
"step": 89
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"loss": 0.4505,
|
| 880 |
+
"learning_rate": 0.0002,
|
| 881 |
+
"epoch": 1.58,
|
| 882 |
+
"step": 90
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"loss": 0.077,
|
| 886 |
+
"learning_rate": 0.0002,
|
| 887 |
+
"epoch": 1.6,
|
| 888 |
+
"step": 91
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"loss": 0.1008,
|
| 892 |
+
"learning_rate": 0.0002,
|
| 893 |
+
"epoch": 1.61,
|
| 894 |
+
"step": 92
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"loss": 0.0879,
|
| 898 |
+
"learning_rate": 0.0002,
|
| 899 |
+
"epoch": 1.63,
|
| 900 |
+
"step": 93
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"loss": 0.0985,
|
| 904 |
+
"learning_rate": 0.0002,
|
| 905 |
+
"epoch": 1.65,
|
| 906 |
+
"step": 94
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"loss": 0.0635,
|
| 910 |
+
"learning_rate": 0.0002,
|
| 911 |
+
"epoch": 1.67,
|
| 912 |
+
"step": 95
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"loss": 0.0756,
|
| 916 |
+
"learning_rate": 0.0002,
|
| 917 |
+
"epoch": 1.68,
|
| 918 |
+
"step": 96
|
| 919 |
+
},
|
| 920 |
+
{
|
| 921 |
+
"loss": 0.0562,
|
| 922 |
+
"learning_rate": 0.0002,
|
| 923 |
+
"epoch": 1.7,
|
| 924 |
+
"step": 97
|
| 925 |
+
},
|
| 926 |
+
{
|
| 927 |
+
"loss": 0.0685,
|
| 928 |
+
"learning_rate": 0.0002,
|
| 929 |
+
"epoch": 1.72,
|
| 930 |
+
"step": 98
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"loss": 0.0303,
|
| 934 |
+
"learning_rate": 0.0002,
|
| 935 |
+
"epoch": 1.74,
|
| 936 |
+
"step": 99
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"loss": 0.067,
|
| 940 |
+
"learning_rate": 0.0002,
|
| 941 |
+
"epoch": 1.75,
|
| 942 |
+
"step": 100
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"eval_counterfactual_python_loss": 0.6492920517921448,
|
| 946 |
+
"eval_counterfactual_python_score": -0.11869081854820251,
|
| 947 |
+
"eval_counterfactual_python_brier_score": 0.11869081854820251,
|
| 948 |
+
"eval_counterfactual_python_average_probability": 0.8255492448806763,
|
| 949 |
+
"eval_counterfactual_python_accuracy": 0.85,
|
| 950 |
+
"eval_counterfactual_python_probabilities": [
|
| 951 |
+
0.9861384034156799,
|
| 952 |
+
0.5939927697181702,
|
| 953 |
+
0.9009288549423218,
|
| 954 |
+
1.0,
|
| 955 |
+
1.0,
|
| 956 |
+
0.9999958276748657,
|
| 957 |
+
1.0,
|
| 958 |
+
0.999998927116394,
|
| 959 |
+
1.0,
|
| 960 |
+
1.0,
|
| 961 |
+
1.0,
|
| 962 |
+
1.0,
|
| 963 |
+
0.5473052859306335,
|
| 964 |
+
0.9997066855430603,
|
| 965 |
+
0.7191124558448792,
|
| 966 |
+
0.7445254325866699,
|
| 967 |
+
0.9441027641296387,
|
| 968 |
+
0.9992800354957581,
|
| 969 |
+
0.8879913091659546,
|
| 970 |
+
0.484623521566391,
|
| 971 |
+
0.9999891519546509,
|
| 972 |
+
1.0,
|
| 973 |
+
1.0,
|
| 974 |
+
1.0,
|
| 975 |
+
0.3958701193332672,
|
| 976 |
+
0.4465397000312805,
|
| 977 |
+
0.4785253703594208,
|
| 978 |
+
0.9999964237213135,
|
| 979 |
+
0.9999507665634155,
|
| 980 |
+
0.9988216757774353,
|
| 981 |
+
0.9999551773071289,
|
| 982 |
+
0.9635000228881836,
|
| 983 |
+
0.9999997615814209,
|
| 984 |
+
0.9999998807907104,
|
| 985 |
+
0.999817430973053,
|
| 986 |
+
0.6587944626808167,
|
| 987 |
+
0.9999881982803345,
|
| 988 |
+
0.9999884366989136,
|
| 989 |
+
0.9999998807907104,
|
| 990 |
+
0.9999645948410034,
|
| 991 |
+
0.05140410736203194,
|
| 992 |
+
0.9999929666519165,
|
| 993 |
+
0.537688136100769,
|
| 994 |
+
0.42932865023612976,
|
| 995 |
+
0.4146558940410614,
|
| 996 |
+
0.9924066662788391,
|
| 997 |
+
0.9678014516830444,
|
| 998 |
+
0.9997110962867737,
|
| 999 |
+
0.9999771118164062,
|
| 1000 |
+
0.9144946336746216,
|
| 1001 |
+
0.9799976944923401,
|
| 1002 |
+
0.62276691198349,
|
| 1003 |
+
0.5267013907432556,
|
| 1004 |
+
0.6377686262130737,
|
| 1005 |
+
0.0035202272702008486,
|
| 1006 |
+
4.719002845376963e-06,
|
| 1007 |
+
1.821393561840523e-05,
|
| 1008 |
+
1.0,
|
| 1009 |
+
1.0,
|
| 1010 |
+
1.0,
|
| 1011 |
+
1.0,
|
| 1012 |
+
1.0,
|
| 1013 |
+
0.9999979734420776,
|
| 1014 |
+
0.00026579556288197637,
|
| 1015 |
+
0.9999961853027344,
|
| 1016 |
+
0.0035534745547920465,
|
| 1017 |
+
0.9691163301467896,
|
| 1018 |
+
0.9998555183410645,
|
| 1019 |
+
0.9999450445175171,
|
| 1020 |
+
1.0,
|
| 1021 |
+
0.775657594203949,
|
| 1022 |
+
1.0,
|
| 1023 |
+
0.9999961853027344,
|
| 1024 |
+
1.0,
|
| 1025 |
+
1.0,
|
| 1026 |
+
0.5152413249015808,
|
| 1027 |
+
0.634461522102356,
|
| 1028 |
+
0.4413420855998993,
|
| 1029 |
+
0.9129559397697449,
|
| 1030 |
+
1.0,
|
| 1031 |
+
0.10406677424907684,
|
| 1032 |
+
0.9999929666519165,
|
| 1033 |
+
0.999427080154419,
|
| 1034 |
+
0.9999858140945435,
|
| 1035 |
+
0.9948273301124573,
|
| 1036 |
+
0.9999961853027344,
|
| 1037 |
+
0.9999692440032959,
|
| 1038 |
+
0.9999997615814209,
|
| 1039 |
+
0.999998927116394,
|
| 1040 |
+
1.0,
|
| 1041 |
+
1.0,
|
| 1042 |
+
0.557204008102417,
|
| 1043 |
+
1.0,
|
| 1044 |
+
0.02454865165054798,
|
| 1045 |
+
0.9945038557052612,
|
| 1046 |
+
0.8013033866882324,
|
| 1047 |
+
0.999936580657959,
|
| 1048 |
+
0.9994376301765442,
|
| 1049 |
+
0.9997013211250305,
|
| 1050 |
+
0.9999967813491821
|
| 1051 |
+
],
|
| 1052 |
+
"eval_counterfactual_python_runtime": 148.075,
|
| 1053 |
+
"eval_counterfactual_python_samples_per_second": 0.675,
|
| 1054 |
+
"eval_counterfactual_python_steps_per_second": 0.027,
|
| 1055 |
+
"epoch": 1.75,
|
| 1056 |
+
"step": 100
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"train_runtime": 12328.5202,
|
| 1060 |
+
"train_samples_per_second": 0.26,
|
| 1061 |
+
"train_steps_per_second": 0.008,
|
| 1062 |
+
"total_flos": 0.0,
|
| 1063 |
+
"train_loss": 0.28120540011674167,
|
| 1064 |
+
"epoch": 1.75,
|
| 1065 |
+
"step": 100
|
| 1066 |
+
}
|
| 1067 |
+
]]
|