second commit
Browse files- all_results.json +7 -7
- eval_results.json +9 -0
- llamaboard_config.yaml +12 -57
- running_log.txt +91 -551
- runs/Jul16_10-32-20_9d2ad312bd69/events.out.tfevents.1721125959.9d2ad312bd69.126273.0 +3 -0
- trainer_log.jsonl +16 -191
- training_args.yaml +9 -21
all_results.json
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{
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{
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"eval_bleu-4": 88.09424799679488,
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"eval_rouge-1": 95.67307692307692,
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"eval_rouge-2": 0.0,
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"eval_rouge-l": 95.67307692307692,
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"eval_runtime": 9.175,
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"eval_samples_per_second": 135.477,
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"eval_steps_per_second": 8.501
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}
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eval_results.json
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{
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"eval_bleu-4": 88.09424799679488,
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"eval_rouge-1": 95.67307692307692,
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"eval_rouge-2": 0.0,
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"eval_rouge-l": 95.67307692307692,
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"eval_runtime": 9.175,
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"eval_samples_per_second": 135.477,
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"eval_steps_per_second": 8.501
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}
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llamaboard_config.yaml
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top.booster: auto
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top.checkpoint_path:
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top.finetuning_type: full
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top.model_name: LLaMA3-8B-Chat
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top.quantization_bit: none
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top.rope_scaling: none
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top.template: llama3
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top.visual_inputs: false
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train.additional_target: ''
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train.badam_mode: layer
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train.badam_switch_interval: 50
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train.badam_switch_mode: ascending
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train.badam_update_ratio: 0.05
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train.batch_size: 2
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train.compute_type: bf16
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train.create_new_adapter: false
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train.cutoff_len: 1024
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train.dataset:
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train.dataset_dir: data
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train.ds_offload: false
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train.ds_stage: '2'
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train.freeze_extra_modules: ''
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train.freeze_trainable_layers: 2
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train.freeze_trainable_modules: all
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train.galore_rank: 16
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train.galore_scale: 0.25
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train.galore_target: all
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train.galore_update_interval: 200
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train.gradient_accumulation_steps: 8
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train.learning_rate: 5e-6
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train.logging_steps: 1
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train.lora_alpha: 16
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train.lora_dropout: 0
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train.lora_rank: 8
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train.lora_target: ''
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train.loraplus_lr_ratio: 0
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train.lr_scheduler_type: cosine
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train.max_grad_norm: '1.0'
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train.max_samples: '100000'
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train.neat_packing: false
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train.neftune_alpha: 0
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train.num_train_epochs: '5.0'
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train.optim: adamw_torch
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train.packing: false
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train.ppo_score_norm: false
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train.ppo_whiten_rewards: false
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train.pref_beta: 0.1
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train.pref_ftx: 0
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train.pref_loss: sigmoid
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train.report_to: false
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train.resize_vocab: false
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train.reward_model: null
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train.save_steps: 1000
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train.shift_attn: false
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train.training_stage: Supervised Fine-Tuning
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train.use_badam: false
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train.use_dora: false
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train.use_galore: false
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train.use_llama_pro: false
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train.use_pissa: false
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train.use_rslora: false
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train.val_size: 0
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train.warmup_steps: 10
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eval.batch_size: 2
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eval.cutoff_len: 1024
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eval.dataset:
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- truth_dev_0716
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eval.dataset_dir: data
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eval.max_new_tokens: 512
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eval.max_samples: '100000'
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eval.output_dir: eval_2024-07-16-09-46-28
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eval.predict: false
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eval.temperature: 0.95
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eval.top_p: 0.7
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top.booster: auto
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top.checkpoint_path: train_2024-07-16-09-46-28_llama3
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top.finetuning_type: full
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top.model_name: LLaMA3-8B-Chat
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top.quantization_bit: none
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top.rope_scaling: none
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top.template: llama3
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top.visual_inputs: false
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running_log.txt
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07/16/2024 09:47:56 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_train.json...
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07/16/2024 09:47:56 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_train.json...
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07/16/2024 09:47:56 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_train.json...
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07/16/2024 09:47:56 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_train.json...
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07/16/2024 09:47:56 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_train.json...
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07/16/2024 09:47:56 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_train.json...
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[INFO|configuration_utils.py:733] 2024-07-16 09:48:00,277 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/e1945c40cd546c78e41f1151f4db032b271faeaa/config.json
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[INFO|configuration_utils.py:800] 2024-07-16 09:48:00,280 >> Model config LlamaConfig {
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"_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.3",
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"use_cache":
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"vocab_size": 128256
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}
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"bos_token_id": 128000,
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"eos_token_id": 128009
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}
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[INFO|modeling_utils.py:4372] 2024-07-16
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If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
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[INFO|configuration_utils.py:
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[INFO|configuration_utils.py:1000] 2024-07-16
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": [
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}
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[INFO|
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[INFO|attention.py:80] 2024-07-16 09:48:04,339 >> Using torch SDPA for faster training and inference.
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[INFO|adapter.py:302] 2024-07-16 09:48:04,339 >> Upcasting trainable params to float32.
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[INFO|adapter.py:48] 2024-07-16 09:48:04,339 >> Fine-tuning method: Full
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[INFO|loader.py:196] 2024-07-16 09:48:04,384 >> trainable params: 8,030,261,248 || all params: 8,030,261,248 || trainable%: 100.0000
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07/16/2024 09:48:04 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
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07/16/2024 09:48:04 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
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07/16/2024 09:48:04 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
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07/16/2024 09:48:04 - INFO - llamafactory.model.adapter - Fine-tuning method: Full
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07/16/2024 09:48:04 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
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07/16/2024 09:48:04 - INFO - llamafactory.model.adapter - Fine-tuning method: Full
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07/16/2024 09:48:04 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
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07/16/2024 09:48:04 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
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07/16/2024 09:48:04 - INFO - llamafactory.model.adapter - Fine-tuning method: Full
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07/16/2024 09:48:04 - INFO - llamafactory.model.adapter - Fine-tuning method: Full
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07/16/2024 09:48:04 - INFO - llamafactory.model.loader - trainable params: 8,030,261,248 || all params: 8,030,261,248 || trainable%: 100.0000
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07/16/2024 09:48:04 - INFO - llamafactory.model.adapter - Fine-tuning method: Full
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07/16/2024 09:48:04 - INFO - llamafactory.model.loader - trainable params: 8,030,261,248 || all params: 8,030,261,248 || trainable%: 100.0000
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07/16/2024 09:48:04 - INFO - llamafactory.model.loader - trainable params: 8,030,261,248 || all params: 8,030,261,248 || trainable%: 100.0000
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07/16/2024 09:48:04 - INFO - llamafactory.model.loader - trainable params: 8,030,261,248 || all params: 8,030,261,248 || trainable%: 100.0000
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07/16/2024 09:48:04 - INFO - llamafactory.model.loader - trainable params: 8,030,261,248 || all params: 8,030,261,248 || trainable%: 100.0000
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07/16/2024 09:48:04 - INFO - llamafactory.model.loader - trainable params: 8,030,261,248 || all params: 8,030,261,248 || trainable%: 100.0000
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[INFO|trainer.py:642] 2024-07-16 09:48:04,390 >> Using auto half precision backend
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07/16/2024 09:48:05 - INFO - llamafactory.model.model_utils.checkpointing - Gradient checkpointing enabled.
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07/16/2024 09:48:05 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
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07/16/2024 09:48:05 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
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07/16/2024 09:48:05 - INFO - llamafactory.model.adapter - Fine-tuning method: Full
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07/16/2024 09:48:05 - INFO - llamafactory.model.loader - trainable params: 8,030,261,248 || all params: 8,030,261,248 || trainable%: 100.0000
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[INFO|trainer.py:2128] 2024-07-16 09:48:27,728 >> ***** Running training *****
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[INFO|trainer.py:2129] 2024-07-16 09:48:27,728 >> Num examples = 4,968
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[INFO|trainer.py:2130] 2024-07-16 09:48:27,728 >> Num Epochs = 5
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| 240 |
-
|
| 241 |
-
[INFO|trainer.py:2131] 2024-07-16 09:48:27,729 >> Instantaneous batch size per device = 2
|
| 242 |
-
|
| 243 |
-
[INFO|trainer.py:2134] 2024-07-16 09:48:27,729 >> Total train batch size (w. parallel, distributed & accumulation) = 128
|
| 244 |
-
|
| 245 |
-
[INFO|trainer.py:2135] 2024-07-16 09:48:27,729 >> Gradient Accumulation steps = 8
|
| 246 |
-
|
| 247 |
-
[INFO|trainer.py:2136] 2024-07-16 09:48:27,729 >> Total optimization steps = 190
|
| 248 |
-
|
| 249 |
-
[INFO|trainer.py:2137] 2024-07-16 09:48:27,730 >> Number of trainable parameters = 8,030,261,248
|
| 250 |
-
|
| 251 |
-
[INFO|callbacks.py:310] 2024-07-16 09:48:41,429 >> {'loss': 14.1364, 'learning_rate': 5.0000e-07, 'epoch': 0.03, 'throughput': 475.41}
|
| 252 |
-
|
| 253 |
-
[INFO|callbacks.py:310] 2024-07-16 09:48:54,626 >> {'loss': 13.7804, 'learning_rate': 1.0000e-06, 'epoch': 0.05, 'throughput': 477.72}
|
| 254 |
-
|
| 255 |
-
[INFO|callbacks.py:310] 2024-07-16 09:49:07,808 >> {'loss': 13.4871, 'learning_rate': 1.5000e-06, 'epoch': 0.08, 'throughput': 480.28}
|
| 256 |
-
|
| 257 |
-
[INFO|callbacks.py:310] 2024-07-16 09:49:20,995 >> {'loss': 12.7900, 'learning_rate': 2.0000e-06, 'epoch': 0.10, 'throughput': 475.82}
|
| 258 |
-
|
| 259 |
-
[INFO|callbacks.py:310] 2024-07-16 09:49:34,157 >> {'loss': 9.2748, 'learning_rate': 2.5000e-06, 'epoch': 0.13, 'throughput': 481.26}
|
| 260 |
-
|
| 261 |
-
[INFO|callbacks.py:310] 2024-07-16 09:49:47,321 >> {'loss': 6.5585, 'learning_rate': 3.0000e-06, 'epoch': 0.15, 'throughput': 479.46}
|
| 262 |
-
|
| 263 |
-
[INFO|callbacks.py:310] 2024-07-16 09:50:00,485 >> {'loss': 5.3984, 'learning_rate': 3.5000e-06, 'epoch': 0.18, 'throughput': 475.92}
|
| 264 |
-
|
| 265 |
-
[INFO|callbacks.py:310] 2024-07-16 09:50:13,669 >> {'loss': 1.9363, 'learning_rate': 4.0000e-06, 'epoch': 0.21, 'throughput': 476.05}
|
| 266 |
-
|
| 267 |
-
[INFO|callbacks.py:310] 2024-07-16 09:50:26,844 >> {'loss': 0.6783, 'learning_rate': 4.5000e-06, 'epoch': 0.23, 'throughput': 477.93}
|
| 268 |
-
|
| 269 |
-
[INFO|callbacks.py:310] 2024-07-16 09:50:40,003 >> {'loss': 2.9945, 'learning_rate': 5.0000e-06, 'epoch': 0.26, 'throughput': 478.89}
|
| 270 |
-
|
| 271 |
-
[INFO|callbacks.py:310] 2024-07-16 09:50:53,164 >> {'loss': 0.2916, 'learning_rate': 4.9996e-06, 'epoch': 0.28, 'throughput': 478.35}
|
| 272 |
-
|
| 273 |
-
[INFO|callbacks.py:310] 2024-07-16 09:51:06,343 >> {'loss': 2.2775, 'learning_rate': 4.9985e-06, 'epoch': 0.31, 'throughput': 478.05}
|
| 274 |
-
|
| 275 |
-
[INFO|callbacks.py:310] 2024-07-16 09:51:19,511 >> {'loss': 0.3757, 'learning_rate': 4.9966e-06, 'epoch': 0.33, 'throughput': 478.29}
|
| 276 |
-
|
| 277 |
-
[INFO|callbacks.py:310] 2024-07-16 09:51:32,674 >> {'loss': 1.9543, 'learning_rate': 4.9939e-06, 'epoch': 0.36, 'throughput': 479.20}
|
| 278 |
-
|
| 279 |
-
[INFO|callbacks.py:310] 2024-07-16 09:51:45,855 >> {'loss': 0.7398, 'learning_rate': 4.9905e-06, 'epoch': 0.39, 'throughput': 478.49}
|
| 280 |
-
|
| 281 |
-
[INFO|callbacks.py:310] 2024-07-16 09:51:59,041 >> {'loss': 1.1868, 'learning_rate': 4.9863e-06, 'epoch': 0.41, 'throughput': 479.67}
|
| 282 |
-
|
| 283 |
-
[INFO|callbacks.py:310] 2024-07-16 09:52:12,210 >> {'loss': 0.5418, 'learning_rate': 4.9814e-06, 'epoch': 0.44, 'throughput': 478.83}
|
| 284 |
-
|
| 285 |
-
[INFO|callbacks.py:310] 2024-07-16 09:52:25,377 >> {'loss': 0.2263, 'learning_rate': 4.9757e-06, 'epoch': 0.46, 'throughput': 479.37}
|
| 286 |
-
|
| 287 |
-
[INFO|callbacks.py:310] 2024-07-16 09:52:38,537 >> {'loss': 0.1612, 'learning_rate': 4.9692e-06, 'epoch': 0.49, 'throughput': 479.86}
|
| 288 |
-
|
| 289 |
-
[INFO|callbacks.py:310] 2024-07-16 09:52:51,713 >> {'loss': 0.3299, 'learning_rate': 4.9620e-06, 'epoch': 0.51, 'throughput': 480.64}
|
| 290 |
-
|
| 291 |
-
[INFO|callbacks.py:310] 2024-07-16 09:53:04,885 >> {'loss': 0.2013, 'learning_rate': 4.9541e-06, 'epoch': 0.54, 'throughput': 481.12}
|
| 292 |
-
|
| 293 |
-
[INFO|callbacks.py:310] 2024-07-16 09:53:18,042 >> {'loss': 0.2446, 'learning_rate': 4.9454e-06, 'epoch': 0.57, 'throughput': 481.36}
|
| 294 |
-
|
| 295 |
-
[INFO|callbacks.py:310] 2024-07-16 09:53:31,215 >> {'loss': 0.2235, 'learning_rate': 4.9359e-06, 'epoch': 0.59, 'throughput': 481.55}
|
| 296 |
-
|
| 297 |
-
[INFO|callbacks.py:310] 2024-07-16 09:53:44,385 >> {'loss': 0.1160, 'learning_rate': 4.9257e-06, 'epoch': 0.62, 'throughput': 480.78}
|
| 298 |
-
|
| 299 |
-
[INFO|callbacks.py:310] 2024-07-16 09:53:57,544 >> {'loss': 0.2179, 'learning_rate': 4.9148e-06, 'epoch': 0.64, 'throughput': 480.61}
|
| 300 |
-
|
| 301 |
-
[INFO|callbacks.py:310] 2024-07-16 09:54:10,712 >> {'loss': 0.1414, 'learning_rate': 4.9032e-06, 'epoch': 0.67, 'throughput': 480.45}
|
| 302 |
-
|
| 303 |
-
[INFO|callbacks.py:310] 2024-07-16 09:54:23,865 >> {'loss': 0.1181, 'learning_rate': 4.8908e-06, 'epoch': 0.69, 'throughput': 481.03}
|
| 304 |
-
|
| 305 |
-
[INFO|callbacks.py:310] 2024-07-16 09:54:37,030 >> {'loss': 0.2753, 'learning_rate': 4.8776e-06, 'epoch': 0.72, 'throughput': 481.61}
|
| 306 |
-
|
| 307 |
-
[INFO|callbacks.py:310] 2024-07-16 09:54:50,171 >> {'loss': 0.3255, 'learning_rate': 4.8638e-06, 'epoch': 0.75, 'throughput': 482.08}
|
| 308 |
-
|
| 309 |
-
[INFO|callbacks.py:310] 2024-07-16 09:55:03,354 >> {'loss': 0.2352, 'learning_rate': 4.8492e-06, 'epoch': 0.77, 'throughput': 482.60}
|
| 310 |
-
|
| 311 |
-
[INFO|callbacks.py:310] 2024-07-16 09:55:16,515 >> {'loss': 0.0630, 'learning_rate': 4.8340e-06, 'epoch': 0.80, 'throughput': 482.48}
|
| 312 |
-
|
| 313 |
-
[INFO|callbacks.py:310] 2024-07-16 09:55:29,668 >> {'loss': 0.2042, 'learning_rate': 4.8180e-06, 'epoch': 0.82, 'throughput': 482.50}
|
| 314 |
-
|
| 315 |
-
[INFO|callbacks.py:310] 2024-07-16 09:55:42,841 >> {'loss': 0.1364, 'learning_rate': 4.8013e-06, 'epoch': 0.85, 'throughput': 482.93}
|
| 316 |
-
|
| 317 |
-
[INFO|callbacks.py:310] 2024-07-16 09:55:56,012 >> {'loss': 0.0934, 'learning_rate': 4.7839e-06, 'epoch': 0.87, 'throughput': 482.98}
|
| 318 |
-
|
| 319 |
-
[INFO|callbacks.py:310] 2024-07-16 09:56:09,170 >> {'loss': 0.1332, 'learning_rate': 4.7658e-06, 'epoch': 0.90, 'throughput': 483.11}
|
| 320 |
-
|
| 321 |
-
[INFO|callbacks.py:310] 2024-07-16 09:56:22,332 >> {'loss': 0.1595, 'learning_rate': 4.7470e-06, 'epoch': 0.93, 'throughput': 483.00}
|
| 322 |
-
|
| 323 |
-
[INFO|callbacks.py:310] 2024-07-16 09:56:35,503 >> {'loss': 0.1528, 'learning_rate': 4.7275e-06, 'epoch': 0.95, 'throughput': 483.18}
|
| 324 |
-
|
| 325 |
-
[INFO|callbacks.py:310] 2024-07-16 09:56:48,669 >> {'loss': 0.1342, 'learning_rate': 4.7074e-06, 'epoch': 0.98, 'throughput': 483.48}
|
| 326 |
-
|
| 327 |
-
[INFO|callbacks.py:310] 2024-07-16 09:57:01,819 >> {'loss': 0.1586, 'learning_rate': 4.6865e-06, 'epoch': 1.00, 'throughput': 483.71}
|
| 328 |
-
|
| 329 |
-
[INFO|callbacks.py:310] 2024-07-16 09:57:14,986 >> {'loss': 0.1072, 'learning_rate': 4.6651e-06, 'epoch': 1.03, 'throughput': 483.77}
|
| 330 |
-
|
| 331 |
-
[INFO|callbacks.py:310] 2024-07-16 09:57:28,147 >> {'loss': 0.0357, 'learning_rate': 4.6429e-06, 'epoch': 1.05, 'throughput': 484.04}
|
| 332 |
-
|
| 333 |
-
[INFO|callbacks.py:310] 2024-07-16 09:57:41,316 >> {'loss': 0.0600, 'learning_rate': 4.6201e-06, 'epoch': 1.08, 'throughput': 484.18}
|
| 334 |
-
|
| 335 |
-
[INFO|callbacks.py:310] 2024-07-16 09:57:54,470 >> {'loss': 0.0902, 'learning_rate': 4.5967e-06, 'epoch': 1.11, 'throughput': 484.46}
|
| 336 |
-
|
| 337 |
-
[INFO|callbacks.py:310] 2024-07-16 09:58:07,621 >> {'loss': 0.0202, 'learning_rate': 4.5726e-06, 'epoch': 1.13, 'throughput': 484.51}
|
| 338 |
-
|
| 339 |
-
[INFO|callbacks.py:310] 2024-07-16 09:58:20,803 >> {'loss': 0.0380, 'learning_rate': 4.5479e-06, 'epoch': 1.16, 'throughput': 484.10}
|
| 340 |
-
|
| 341 |
-
[INFO|callbacks.py:310] 2024-07-16 09:58:33,969 >> {'loss': 0.0379, 'learning_rate': 4.5225e-06, 'epoch': 1.18, 'throughput': 484.17}
|
| 342 |
-
|
| 343 |
-
[INFO|callbacks.py:310] 2024-07-16 09:58:47,129 >> {'loss': 0.0742, 'learning_rate': 4.4966e-06, 'epoch': 1.21, 'throughput': 484.24}
|
| 344 |
-
|
| 345 |
-
[INFO|callbacks.py:310] 2024-07-16 09:59:00,303 >> {'loss': 0.0658, 'learning_rate': 4.4700e-06, 'epoch': 1.23, 'throughput': 483.64}
|
| 346 |
-
|
| 347 |
-
[INFO|callbacks.py:310] 2024-07-16 09:59:13,461 >> {'loss': 0.0336, 'learning_rate': 4.4429e-06, 'epoch': 1.26, 'throughput': 483.99}
|
| 348 |
-
|
| 349 |
-
[INFO|callbacks.py:310] 2024-07-16 09:59:26,622 >> {'loss': 0.1021, 'learning_rate': 4.4151e-06, 'epoch': 1.29, 'throughput': 483.77}
|
| 350 |
-
|
| 351 |
-
[INFO|callbacks.py:310] 2024-07-16 09:59:39,766 >> {'loss': 0.1312, 'learning_rate': 4.3868e-06, 'epoch': 1.31, 'throughput': 483.74}
|
| 352 |
-
|
| 353 |
-
[INFO|callbacks.py:310] 2024-07-16 09:59:52,949 >> {'loss': 0.0665, 'learning_rate': 4.3579e-06, 'epoch': 1.34, 'throughput': 483.68}
|
| 354 |
-
|
| 355 |
-
[INFO|callbacks.py:310] 2024-07-16 10:00:06,104 >> {'loss': 0.0679, 'learning_rate': 4.3284e-06, 'epoch': 1.36, 'throughput': 483.66}
|
| 356 |
-
|
| 357 |
-
[INFO|callbacks.py:310] 2024-07-16 10:00:19,266 >> {'loss': 0.0579, 'learning_rate': 4.2983e-06, 'epoch': 1.39, 'throughput': 483.46}
|
| 358 |
-
|
| 359 |
-
[INFO|callbacks.py:310] 2024-07-16 10:00:32,433 >> {'loss': 0.0542, 'learning_rate': 4.2678e-06, 'epoch': 1.41, 'throughput': 483.69}
|
| 360 |
-
|
| 361 |
-
[INFO|callbacks.py:310] 2024-07-16 10:00:45,598 >> {'loss': 0.0476, 'learning_rate': 4.2366e-06, 'epoch': 1.44, 'throughput': 483.69}
|
| 362 |
-
|
| 363 |
-
[INFO|callbacks.py:310] 2024-07-16 10:00:58,749 >> {'loss': 0.0613, 'learning_rate': 4.2050e-06, 'epoch': 1.47, 'throughput': 483.84}
|
| 364 |
-
|
| 365 |
-
[INFO|callbacks.py:310] 2024-07-16 10:01:11,904 >> {'loss': 0.0995, 'learning_rate': 4.1728e-06, 'epoch': 1.49, 'throughput': 483.76}
|
| 366 |
-
|
| 367 |
-
[INFO|callbacks.py:310] 2024-07-16 10:01:25,086 >> {'loss': 0.0532, 'learning_rate': 4.1401e-06, 'epoch': 1.52, 'throughput': 483.57}
|
| 368 |
-
|
| 369 |
-
[INFO|callbacks.py:310] 2024-07-16 10:01:38,265 >> {'loss': 0.0824, 'learning_rate': 4.1070e-06, 'epoch': 1.54, 'throughput': 483.60}
|
| 370 |
-
|
| 371 |
-
[INFO|callbacks.py:310] 2024-07-16 10:01:51,421 >> {'loss': 0.0499, 'learning_rate': 4.0733e-06, 'epoch': 1.57, 'throughput': 483.63}
|
| 372 |
-
|
| 373 |
-
[INFO|callbacks.py:310] 2024-07-16 10:02:04,575 >> {'loss': 0.0413, 'learning_rate': 4.0392e-06, 'epoch': 1.59, 'throughput': 483.75}
|
| 374 |
-
|
| 375 |
-
[INFO|callbacks.py:310] 2024-07-16 10:02:17,738 >> {'loss': 0.0637, 'learning_rate': 4.0045e-06, 'epoch': 1.62, 'throughput': 484.01}
|
| 376 |
-
|
| 377 |
-
[INFO|callbacks.py:310] 2024-07-16 10:02:30,912 >> {'loss': 0.0529, 'learning_rate': 3.9695e-06, 'epoch': 1.65, 'throughput': 483.77}
|
| 378 |
-
|
| 379 |
-
[INFO|callbacks.py:310] 2024-07-16 10:02:44,068 >> {'loss': 0.0474, 'learning_rate': 3.9339e-06, 'epoch': 1.67, 'throughput': 483.73}
|
| 380 |
-
|
| 381 |
-
[INFO|callbacks.py:310] 2024-07-16 10:02:57,237 >> {'loss': 0.0649, 'learning_rate': 3.8980e-06, 'epoch': 1.70, 'throughput': 483.55}
|
| 382 |
-
|
| 383 |
-
[INFO|callbacks.py:310] 2024-07-16 10:03:10,409 >> {'loss': 0.0505, 'learning_rate': 3.8616e-06, 'epoch': 1.72, 'throughput': 483.51}
|
| 384 |
-
|
| 385 |
-
[INFO|callbacks.py:310] 2024-07-16 10:03:23,580 >> {'loss': 0.0621, 'learning_rate': 3.8248e-06, 'epoch': 1.75, 'throughput': 483.14}
|
| 386 |
-
|
| 387 |
-
[INFO|callbacks.py:310] 2024-07-16 10:03:36,735 >> {'loss': 0.0769, 'learning_rate': 3.7876e-06, 'epoch': 1.77, 'throughput': 483.20}
|
| 388 |
-
|
| 389 |
-
[INFO|callbacks.py:310] 2024-07-16 10:03:49,897 >> {'loss': 0.0435, 'learning_rate': 3.7500e-06, 'epoch': 1.80, 'throughput': 483.42}
|
| 390 |
-
|
| 391 |
-
[INFO|callbacks.py:310] 2024-07-16 10:04:03,040 >> {'loss': 0.0673, 'learning_rate': 3.7120e-06, 'epoch': 1.83, 'throughput': 483.69}
|
| 392 |
-
|
| 393 |
-
[INFO|callbacks.py:310] 2024-07-16 10:04:16,202 >> {'loss': 0.1316, 'learning_rate': 3.6737e-06, 'epoch': 1.85, 'throughput': 483.44}
|
| 394 |
-
|
| 395 |
-
[INFO|callbacks.py:310] 2024-07-16 10:04:29,356 >> {'loss': 0.0531, 'learning_rate': 3.6350e-06, 'epoch': 1.88, 'throughput': 483.53}
|
| 396 |
-
|
| 397 |
-
[INFO|callbacks.py:310] 2024-07-16 10:04:42,540 >> {'loss': 0.0287, 'learning_rate': 3.5959e-06, 'epoch': 1.90, 'throughput': 483.62}
|
| 398 |
-
|
| 399 |
-
[INFO|callbacks.py:310] 2024-07-16 10:04:55,704 >> {'loss': 0.0648, 'learning_rate': 3.5565e-06, 'epoch': 1.93, 'throughput': 483.59}
|
| 400 |
-
|
| 401 |
-
[INFO|callbacks.py:310] 2024-07-16 10:05:08,874 >> {'loss': 0.1211, 'learning_rate': 3.5168e-06, 'epoch': 1.95, 'throughput': 483.54}
|
| 402 |
-
|
| 403 |
-
[INFO|callbacks.py:310] 2024-07-16 10:05:22,046 >> {'loss': 0.0879, 'learning_rate': 3.4768e-06, 'epoch': 1.98, 'throughput': 483.26}
|
| 404 |
-
|
| 405 |
-
[INFO|callbacks.py:310] 2024-07-16 10:05:35,205 >> {'loss': 0.0227, 'learning_rate': 3.4365e-06, 'epoch': 2.01, 'throughput': 483.39}
|
| 406 |
-
|
| 407 |
-
[INFO|callbacks.py:310] 2024-07-16 10:05:48,359 >> {'loss': 0.0228, 'learning_rate': 3.3959e-06, 'epoch': 2.03, 'throughput': 483.45}
|
| 408 |
-
|
| 409 |
-
[INFO|callbacks.py:310] 2024-07-16 10:06:01,518 >> {'loss': 0.0360, 'learning_rate': 3.3551e-06, 'epoch': 2.06, 'throughput': 483.47}
|
| 410 |
-
|
| 411 |
-
[INFO|callbacks.py:310] 2024-07-16 10:06:14,696 >> {'loss': 0.0138, 'learning_rate': 3.3139e-06, 'epoch': 2.08, 'throughput': 483.36}
|
| 412 |
-
|
| 413 |
-
[INFO|callbacks.py:310] 2024-07-16 10:06:27,870 >> {'loss': 0.0697, 'learning_rate': 3.2725e-06, 'epoch': 2.11, 'throughput': 483.18}
|
| 414 |
-
|
| 415 |
-
[INFO|callbacks.py:310] 2024-07-16 10:06:41,041 >> {'loss': 0.0508, 'learning_rate': 3.2309e-06, 'epoch': 2.14, 'throughput': 482.89}
|
| 416 |
-
|
| 417 |
-
[INFO|callbacks.py:310] 2024-07-16 10:06:54,208 >> {'loss': 0.0088, 'learning_rate': 3.1891e-06, 'epoch': 2.16, 'throughput': 483.18}
|
| 418 |
-
|
| 419 |
-
[INFO|callbacks.py:310] 2024-07-16 10:07:07,375 >> {'loss': 0.0158, 'learning_rate': 3.1470e-06, 'epoch': 2.19, 'throughput': 483.34}
|
| 420 |
-
|
| 421 |
-
[INFO|callbacks.py:310] 2024-07-16 10:07:20,542 >> {'loss': 0.0060, 'learning_rate': 3.1048e-06, 'epoch': 2.21, 'throughput': 483.30}
|
| 422 |
-
|
| 423 |
-
[INFO|callbacks.py:310] 2024-07-16 10:07:33,693 >> {'loss': 0.0380, 'learning_rate': 3.0624e-06, 'epoch': 2.24, 'throughput': 483.67}
|
| 424 |
-
|
| 425 |
-
[INFO|callbacks.py:310] 2024-07-16 10:07:46,864 >> {'loss': 0.0004, 'learning_rate': 3.0198e-06, 'epoch': 2.26, 'throughput': 483.58}
|
| 426 |
-
|
| 427 |
-
[INFO|callbacks.py:310] 2024-07-16 10:08:00,047 >> {'loss': 0.0111, 'learning_rate': 2.9770e-06, 'epoch': 2.29, 'throughput': 483.47}
|
| 428 |
-
|
| 429 |
-
[INFO|callbacks.py:310] 2024-07-16 10:08:13,201 >> {'loss': 0.0008, 'learning_rate': 2.9341e-06, 'epoch': 2.32, 'throughput': 483.64}
|
| 430 |
-
|
| 431 |
-
[INFO|callbacks.py:310] 2024-07-16 10:08:26,357 >> {'loss': 0.0182, 'learning_rate': 2.8911e-06, 'epoch': 2.34, 'throughput': 483.70}
|
| 432 |
-
|
| 433 |
-
[INFO|callbacks.py:310] 2024-07-16 10:08:39,526 >> {'loss': 0.0491, 'learning_rate': 2.8479e-06, 'epoch': 2.37, 'throughput': 483.66}
|
| 434 |
-
|
| 435 |
-
[INFO|callbacks.py:310] 2024-07-16 10:08:52,691 >> {'loss': 0.0040, 'learning_rate': 2.8047e-06, 'epoch': 2.39, 'throughput': 483.71}
|
| 436 |
-
|
| 437 |
-
[INFO|callbacks.py:310] 2024-07-16 10:09:05,854 >> {'loss': 0.0176, 'learning_rate': 2.7613e-06, 'epoch': 2.42, 'throughput': 483.76}
|
| 438 |
-
|
| 439 |
-
[INFO|callbacks.py:310] 2024-07-16 10:09:19,001 >> {'loss': 0.0190, 'learning_rate': 2.7179e-06, 'epoch': 2.44, 'throughput': 483.69}
|
| 440 |
-
|
| 441 |
-
[INFO|callbacks.py:310] 2024-07-16 10:09:32,181 >> {'loss': 0.0270, 'learning_rate': 2.6744e-06, 'epoch': 2.47, 'throughput': 483.49}
|
| 442 |
-
|
| 443 |
-
[INFO|callbacks.py:310] 2024-07-16 10:09:45,346 >> {'loss': 0.0354, 'learning_rate': 2.6308e-06, 'epoch': 2.50, 'throughput': 483.49}
|
| 444 |
-
|
| 445 |
-
[INFO|callbacks.py:310] 2024-07-16 10:09:58,504 >> {'loss': 0.0741, 'learning_rate': 2.5872e-06, 'epoch': 2.52, 'throughput': 483.59}
|
| 446 |
-
|
| 447 |
-
[INFO|callbacks.py:310] 2024-07-16 10:10:11,684 >> {'loss': 0.0582, 'learning_rate': 2.5436e-06, 'epoch': 2.55, 'throughput': 483.53}
|
| 448 |
-
|
| 449 |
-
[INFO|callbacks.py:310] 2024-07-16 10:10:24,850 >> {'loss': 0.0096, 'learning_rate': 2.5000e-06, 'epoch': 2.57, 'throughput': 483.66}
|
| 450 |
-
|
| 451 |
-
[INFO|callbacks.py:310] 2024-07-16 10:10:38,015 >> {'loss': 0.0263, 'learning_rate': 2.4564e-06, 'epoch': 2.60, 'throughput': 483.71}
|
| 452 |
-
|
| 453 |
-
[INFO|callbacks.py:310] 2024-07-16 10:10:51,176 >> {'loss': 0.0121, 'learning_rate': 2.4128e-06, 'epoch': 2.62, 'throughput': 483.65}
|
| 454 |
-
|
| 455 |
-
[INFO|callbacks.py:310] 2024-07-16 10:11:04,355 >> {'loss': 0.0204, 'learning_rate': 2.3692e-06, 'epoch': 2.65, 'throughput': 483.62}
|
| 456 |
-
|
| 457 |
-
[INFO|callbacks.py:310] 2024-07-16 10:11:17,518 >> {'loss': 0.0325, 'learning_rate': 2.3256e-06, 'epoch': 2.68, 'throughput': 483.74}
|
| 458 |
-
|
| 459 |
-
[INFO|callbacks.py:310] 2024-07-16 10:11:30,679 >> {'loss': 0.0076, 'learning_rate': 2.2821e-06, 'epoch': 2.70, 'throughput': 483.58}
|
| 460 |
-
|
| 461 |
-
[INFO|callbacks.py:310] 2024-07-16 10:11:43,845 >> {'loss': 0.0485, 'learning_rate': 2.2387e-06, 'epoch': 2.73, 'throughput': 483.48}
|
| 462 |
-
|
| 463 |
-
[INFO|callbacks.py:310] 2024-07-16 10:11:57,010 >> {'loss': 0.0070, 'learning_rate': 2.1953e-06, 'epoch': 2.75, 'throughput': 483.31}
|
| 464 |
-
|
| 465 |
-
[INFO|callbacks.py:310] 2024-07-16 10:12:10,178 >> {'loss': 0.0347, 'learning_rate': 2.1521e-06, 'epoch': 2.78, 'throughput': 483.23}
|
| 466 |
-
|
| 467 |
-
[INFO|callbacks.py:310] 2024-07-16 10:12:23,333 >> {'loss': 0.0142, 'learning_rate': 2.1089e-06, 'epoch': 2.80, 'throughput': 483.41}
|
| 468 |
-
|
| 469 |
-
[INFO|callbacks.py:310] 2024-07-16 10:12:36,503 >> {'loss': 0.0414, 'learning_rate': 2.0659e-06, 'epoch': 2.83, 'throughput': 483.41}
|
| 470 |
-
|
| 471 |
-
[INFO|callbacks.py:310] 2024-07-16 10:12:49,670 >> {'loss': 0.0419, 'learning_rate': 2.0230e-06, 'epoch': 2.86, 'throughput': 483.45}
|
| 472 |
-
|
| 473 |
-
[INFO|callbacks.py:310] 2024-07-16 10:13:02,837 >> {'loss': 0.0430, 'learning_rate': 1.9802e-06, 'epoch': 2.88, 'throughput': 483.52}
|
| 474 |
-
|
| 475 |
-
[INFO|callbacks.py:310] 2024-07-16 10:13:15,995 >> {'loss': 0.0192, 'learning_rate': 1.9376e-06, 'epoch': 2.91, 'throughput': 483.49}
|
| 476 |
-
|
| 477 |
-
[INFO|callbacks.py:310] 2024-07-16 10:13:29,163 >> {'loss': 0.0427, 'learning_rate': 1.8952e-06, 'epoch': 2.93, 'throughput': 483.53}
|
| 478 |
-
|
| 479 |
-
[INFO|callbacks.py:310] 2024-07-16 10:13:42,332 >> {'loss': 0.0116, 'learning_rate': 1.8530e-06, 'epoch': 2.96, 'throughput': 483.44}
|
| 480 |
-
|
| 481 |
-
[INFO|callbacks.py:310] 2024-07-16 10:13:55,503 >> {'loss': 0.0135, 'learning_rate': 1.8109e-06, 'epoch': 2.98, 'throughput': 483.38}
|
| 482 |
-
|
| 483 |
-
[INFO|callbacks.py:310] 2024-07-16 10:14:08,655 >> {'loss': 0.0128, 'learning_rate': 1.7691e-06, 'epoch': 3.01, 'throughput': 483.40}
|
| 484 |
-
|
| 485 |
-
[INFO|callbacks.py:310] 2024-07-16 10:14:21,830 >> {'loss': 0.0021, 'learning_rate': 1.7275e-06, 'epoch': 3.04, 'throughput': 483.50}
|
| 486 |
-
|
| 487 |
-
[INFO|callbacks.py:310] 2024-07-16 10:14:35,006 >> {'loss': 0.0057, 'learning_rate': 1.6861e-06, 'epoch': 3.06, 'throughput': 483.41}
|
| 488 |
-
|
| 489 |
-
[INFO|callbacks.py:310] 2024-07-16 10:14:48,169 >> {'loss': 0.0197, 'learning_rate': 1.6449e-06, 'epoch': 3.09, 'throughput': 483.37}
|
| 490 |
-
|
| 491 |
-
[INFO|callbacks.py:310] 2024-07-16 10:15:01,334 >> {'loss': 0.0017, 'learning_rate': 1.6041e-06, 'epoch': 3.11, 'throughput': 483.22}
|
| 492 |
-
|
| 493 |
-
[INFO|callbacks.py:310] 2024-07-16 10:15:14,501 >> {'loss': 0.0068, 'learning_rate': 1.5635e-06, 'epoch': 3.14, 'throughput': 483.07}
|
| 494 |
-
|
| 495 |
-
[INFO|callbacks.py:310] 2024-07-16 10:15:27,662 >> {'loss': 0.0022, 'learning_rate': 1.5232e-06, 'epoch': 3.16, 'throughput': 483.02}
|
| 496 |
-
|
| 497 |
-
[INFO|callbacks.py:310] 2024-07-16 10:15:40,803 >> {'loss': 0.0162, 'learning_rate': 1.4832e-06, 'epoch': 3.19, 'throughput': 483.18}
|
| 498 |
-
|
| 499 |
-
[INFO|callbacks.py:310] 2024-07-16 10:15:53,978 >> {'loss': 0.0014, 'learning_rate': 1.4435e-06, 'epoch': 3.22, 'throughput': 483.24}
|
| 500 |
-
|
| 501 |
-
[INFO|callbacks.py:310] 2024-07-16 10:16:07,150 >> {'loss': 0.0063, 'learning_rate': 1.4041e-06, 'epoch': 3.24, 'throughput': 483.23}
|
| 502 |
-
|
| 503 |
-
[INFO|callbacks.py:310] 2024-07-16 10:16:20,313 >> {'loss': 0.0282, 'learning_rate': 1.3650e-06, 'epoch': 3.27, 'throughput': 483.34}
|
| 504 |
-
|
| 505 |
-
[INFO|callbacks.py:310] 2024-07-16 10:16:33,471 >> {'loss': 0.0003, 'learning_rate': 1.3263e-06, 'epoch': 3.29, 'throughput': 483.41}
|
| 506 |
-
|
| 507 |
-
[INFO|callbacks.py:310] 2024-07-16 10:16:46,637 >> {'loss': 0.0002, 'learning_rate': 1.2880e-06, 'epoch': 3.32, 'throughput': 483.37}
|
| 508 |
-
|
| 509 |
-
[INFO|callbacks.py:310] 2024-07-16 10:16:59,801 >> {'loss': 0.0004, 'learning_rate': 1.2500e-06, 'epoch': 3.34, 'throughput': 483.38}
|
| 510 |
-
|
| 511 |
-
[INFO|callbacks.py:310] 2024-07-16 10:17:12,952 >> {'loss': 0.0169, 'learning_rate': 1.2124e-06, 'epoch': 3.37, 'throughput': 483.44}
|
| 512 |
-
|
| 513 |
-
[INFO|callbacks.py:310] 2024-07-16 10:17:26,129 >> {'loss': 0.0127, 'learning_rate': 1.1752e-06, 'epoch': 3.40, 'throughput': 483.34}
|
| 514 |
-
|
| 515 |
-
[INFO|callbacks.py:310] 2024-07-16 10:17:39,308 >> {'loss': 0.0045, 'learning_rate': 1.1384e-06, 'epoch': 3.42, 'throughput': 483.25}
|
| 516 |
-
|
| 517 |
-
[INFO|callbacks.py:310] 2024-07-16 10:17:52,479 >> {'loss': 0.0924, 'learning_rate': 1.1020e-06, 'epoch': 3.45, 'throughput': 483.31}
|
| 518 |
-
|
| 519 |
-
[INFO|callbacks.py:310] 2024-07-16 10:18:05,645 >> {'loss': 0.0067, 'learning_rate': 1.0661e-06, 'epoch': 3.47, 'throughput': 483.33}
|
| 520 |
-
|
| 521 |
-
[INFO|callbacks.py:310] 2024-07-16 10:18:18,814 >> {'loss': 0.0030, 'learning_rate': 1.0305e-06, 'epoch': 3.50, 'throughput': 483.19}
|
| 522 |
-
|
| 523 |
-
[INFO|callbacks.py:310] 2024-07-16 10:18:31,962 >> {'loss': 0.0164, 'learning_rate': 9.9546e-07, 'epoch': 3.52, 'throughput': 483.29}
|
| 524 |
-
|
| 525 |
-
[INFO|callbacks.py:310] 2024-07-16 10:18:45,120 >> {'loss': 0.0018, 'learning_rate': 9.6085e-07, 'epoch': 3.55, 'throughput': 483.30}
|
| 526 |
-
|
| 527 |
-
[INFO|callbacks.py:310] 2024-07-16 10:18:58,287 >> {'loss': 0.0226, 'learning_rate': 9.2670e-07, 'epoch': 3.58, 'throughput': 483.32}
|
| 528 |
-
|
| 529 |
-
[INFO|callbacks.py:310] 2024-07-16 10:19:11,468 >> {'loss': 0.0008, 'learning_rate': 8.9303e-07, 'epoch': 3.60, 'throughput': 483.26}
|
| 530 |
-
|
| 531 |
-
[INFO|callbacks.py:310] 2024-07-16 10:19:24,632 >> {'loss': 0.0004, 'learning_rate': 8.5985e-07, 'epoch': 3.63, 'throughput': 483.13}
|
| 532 |
-
|
| 533 |
-
[INFO|callbacks.py:310] 2024-07-16 10:19:37,805 >> {'loss': 0.0008, 'learning_rate': 8.2717e-07, 'epoch': 3.65, 'throughput': 483.16}
|
| 534 |
-
|
| 535 |
-
[INFO|callbacks.py:310] 2024-07-16 10:19:50,961 >> {'loss': 0.0256, 'learning_rate': 7.9500e-07, 'epoch': 3.68, 'throughput': 483.12}
|
| 536 |
-
|
| 537 |
-
[INFO|callbacks.py:310] 2024-07-16 10:20:04,127 >> {'loss': 0.0005, 'learning_rate': 7.6335e-07, 'epoch': 3.70, 'throughput': 483.08}
|
| 538 |
-
|
| 539 |
-
[INFO|callbacks.py:310] 2024-07-16 10:20:17,283 >> {'loss': 0.0045, 'learning_rate': 7.3223e-07, 'epoch': 3.73, 'throughput': 483.15}
|
| 540 |
-
|
| 541 |
-
[INFO|callbacks.py:310] 2024-07-16 10:20:30,443 >> {'loss': 0.0005, 'learning_rate': 7.0165e-07, 'epoch': 3.76, 'throughput': 482.98}
|
| 542 |
-
|
| 543 |
-
[INFO|callbacks.py:310] 2024-07-16 10:20:43,619 >> {'loss': 0.0069, 'learning_rate': 6.7162e-07, 'epoch': 3.78, 'throughput': 483.23}
|
| 544 |
-
|
| 545 |
-
[INFO|callbacks.py:310] 2024-07-16 10:20:56,776 >> {'loss': 0.0150, 'learning_rate': 6.4214e-07, 'epoch': 3.81, 'throughput': 483.29}
|
| 546 |
-
|
| 547 |
-
[INFO|callbacks.py:310] 2024-07-16 10:21:09,946 >> {'loss': 0.0012, 'learning_rate': 6.1323e-07, 'epoch': 3.83, 'throughput': 483.32}
|
| 548 |
-
|
| 549 |
-
[INFO|callbacks.py:310] 2024-07-16 10:21:23,109 >> {'loss': 0.0095, 'learning_rate': 5.8489e-07, 'epoch': 3.86, 'throughput': 483.33}
|
| 550 |
-
|
| 551 |
-
[INFO|callbacks.py:310] 2024-07-16 10:21:36,282 >> {'loss': 0.0271, 'learning_rate': 5.5714e-07, 'epoch': 3.88, 'throughput': 483.39}
|
| 552 |
-
|
| 553 |
-
[INFO|callbacks.py:310] 2024-07-16 10:21:49,454 >> {'loss': 0.0201, 'learning_rate': 5.2997e-07, 'epoch': 3.91, 'throughput': 483.30}
|
| 554 |
-
|
| 555 |
-
[INFO|callbacks.py:310] 2024-07-16 10:22:02,608 >> {'loss': 0.0120, 'learning_rate': 5.0341e-07, 'epoch': 3.94, 'throughput': 483.25}
|
| 556 |
-
|
| 557 |
-
[INFO|callbacks.py:310] 2024-07-16 10:22:15,786 >> {'loss': 0.0230, 'learning_rate': 4.7746e-07, 'epoch': 3.96, 'throughput': 483.29}
|
| 558 |
-
|
| 559 |
-
[INFO|callbacks.py:310] 2024-07-16 10:22:28,957 >> {'loss': 0.0156, 'learning_rate': 4.5212e-07, 'epoch': 3.99, 'throughput': 483.22}
|
| 560 |
-
|
| 561 |
-
[INFO|callbacks.py:310] 2024-07-16 10:22:42,130 >> {'loss': 0.0009, 'learning_rate': 4.2741e-07, 'epoch': 4.01, 'throughput': 483.29}
|
| 562 |
-
|
| 563 |
-
[INFO|callbacks.py:310] 2024-07-16 10:22:55,293 >> {'loss': 0.0017, 'learning_rate': 4.0332e-07, 'epoch': 4.04, 'throughput': 483.27}
|
| 564 |
-
|
| 565 |
-
[INFO|callbacks.py:310] 2024-07-16 10:23:08,453 >> {'loss': 0.0015, 'learning_rate': 3.7988e-07, 'epoch': 4.06, 'throughput': 483.28}
|
| 566 |
-
|
| 567 |
-
[INFO|callbacks.py:310] 2024-07-16 10:23:21,618 >> {'loss': 0.0035, 'learning_rate': 3.5708e-07, 'epoch': 4.09, 'throughput': 483.18}
|
| 568 |
-
|
| 569 |
-
[INFO|callbacks.py:310] 2024-07-16 10:23:34,786 >> {'loss': 0.0016, 'learning_rate': 3.3494e-07, 'epoch': 4.12, 'throughput': 483.27}
|
| 570 |
-
|
| 571 |
-
[INFO|callbacks.py:310] 2024-07-16 10:23:47,940 >> {'loss': 0.0028, 'learning_rate': 3.1345e-07, 'epoch': 4.14, 'throughput': 483.30}
|
| 572 |
-
|
| 573 |
-
[INFO|callbacks.py:310] 2024-07-16 10:24:01,115 >> {'loss': 0.0006, 'learning_rate': 2.9263e-07, 'epoch': 4.17, 'throughput': 483.34}
|
| 574 |
-
|
| 575 |
-
[INFO|callbacks.py:310] 2024-07-16 10:24:14,287 >> {'loss': 0.0013, 'learning_rate': 2.7248e-07, 'epoch': 4.19, 'throughput': 483.39}
|
| 576 |
-
|
| 577 |
-
[INFO|callbacks.py:310] 2024-07-16 10:24:27,446 >> {'loss': 0.0006, 'learning_rate': 2.5301e-07, 'epoch': 4.22, 'throughput': 483.37}
|
| 578 |
-
|
| 579 |
-
[INFO|callbacks.py:310] 2024-07-16 10:24:40,617 >> {'loss': 0.0017, 'learning_rate': 2.3423e-07, 'epoch': 4.24, 'throughput': 483.25}
|
| 580 |
-
|
| 581 |
-
[INFO|callbacks.py:310] 2024-07-16 10:24:53,794 >> {'loss': 0.0004, 'learning_rate': 2.1614e-07, 'epoch': 4.27, 'throughput': 483.29}
|
| 582 |
-
|
| 583 |
-
[INFO|callbacks.py:310] 2024-07-16 10:25:06,960 >> {'loss': 0.0049, 'learning_rate': 1.9874e-07, 'epoch': 4.30, 'throughput': 483.28}
|
| 584 |
-
|
| 585 |
-
[INFO|callbacks.py:310] 2024-07-16 10:25:20,117 >> {'loss': 0.0071, 'learning_rate': 1.8204e-07, 'epoch': 4.32, 'throughput': 483.25}
|
| 586 |
-
|
| 587 |
-
[INFO|callbacks.py:310] 2024-07-16 10:25:33,302 >> {'loss': 0.0011, 'learning_rate': 1.6605e-07, 'epoch': 4.35, 'throughput': 483.17}
|
| 588 |
-
|
| 589 |
-
[INFO|callbacks.py:310] 2024-07-16 10:25:46,468 >> {'loss': 0.0004, 'learning_rate': 1.5077e-07, 'epoch': 4.37, 'throughput': 483.17}
|
| 590 |
-
|
| 591 |
-
[INFO|callbacks.py:310] 2024-07-16 10:25:59,629 >> {'loss': 0.0007, 'learning_rate': 1.3620e-07, 'epoch': 4.40, 'throughput': 483.20}
|
| 592 |
-
|
| 593 |
-
[INFO|callbacks.py:310] 2024-07-16 10:26:12,794 >> {'loss': 0.0017, 'learning_rate': 1.2236e-07, 'epoch': 4.42, 'throughput': 483.21}
|
| 594 |
-
|
| 595 |
-
[INFO|callbacks.py:310] 2024-07-16 10:26:25,961 >> {'loss': 0.0007, 'learning_rate': 1.0924e-07, 'epoch': 4.45, 'throughput': 483.29}
|
| 596 |
-
|
| 597 |
-
[INFO|callbacks.py:310] 2024-07-16 10:26:39,133 >> {'loss': 0.0003, 'learning_rate': 9.6846e-08, 'epoch': 4.48, 'throughput': 483.18}
|
| 598 |
-
|
| 599 |
-
[INFO|callbacks.py:310] 2024-07-16 10:26:52,302 >> {'loss': 0.0046, 'learning_rate': 8.5185e-08, 'epoch': 4.50, 'throughput': 483.13}
|
| 600 |
-
|
| 601 |
-
[INFO|callbacks.py:310] 2024-07-16 10:27:05,483 >> {'loss': 0.0038, 'learning_rate': 7.4261e-08, 'epoch': 4.53, 'throughput': 483.04}
|
| 602 |
-
|
| 603 |
-
[INFO|callbacks.py:310] 2024-07-16 10:27:18,649 >> {'loss': 0.0036, 'learning_rate': 6.4075e-08, 'epoch': 4.55, 'throughput': 483.09}
|
| 604 |
-
|
| 605 |
-
[INFO|callbacks.py:310] 2024-07-16 10:27:31,802 >> {'loss': 0.0056, 'learning_rate': 5.4631e-08, 'epoch': 4.58, 'throughput': 483.09}
|
| 606 |
-
|
| 607 |
-
[INFO|callbacks.py:310] 2024-07-16 10:27:44,968 >> {'loss': 0.0057, 'learning_rate': 4.5932e-08, 'epoch': 4.60, 'throughput': 483.12}
|
| 608 |
-
|
| 609 |
-
[INFO|callbacks.py:310] 2024-07-16 10:27:58,128 >> {'loss': 0.0020, 'learning_rate': 3.7981e-08, 'epoch': 4.63, 'throughput': 483.19}
|
| 610 |
-
|
| 611 |
-
[INFO|callbacks.py:310] 2024-07-16 10:28:11,283 >> {'loss': 0.0003, 'learning_rate': 3.0779e-08, 'epoch': 4.66, 'throughput': 483.12}
|
| 612 |
-
|
| 613 |
-
[INFO|callbacks.py:310] 2024-07-16 10:28:24,450 >> {'loss': 0.0002, 'learning_rate': 2.4330e-08, 'epoch': 4.68, 'throughput': 483.03}
|
| 614 |
-
|
| 615 |
-
[INFO|callbacks.py:310] 2024-07-16 10:28:37,620 >> {'loss': 0.0043, 'learning_rate': 1.8635e-08, 'epoch': 4.71, 'throughput': 482.89}
|
| 616 |
|
| 617 |
-
[INFO|
|
| 618 |
|
| 619 |
-
[INFO|
|
|
|
|
| 620 |
|
| 621 |
-
[INFO|
|
| 622 |
|
| 623 |
-
[INFO|
|
| 624 |
|
| 625 |
-
[
|
| 626 |
|
| 627 |
-
|
| 628 |
|
| 629 |
-
|
| 630 |
|
| 631 |
-
|
| 632 |
|
| 633 |
-
|
| 634 |
|
| 635 |
-
|
| 636 |
|
| 637 |
-
|
| 638 |
|
| 639 |
-
|
| 640 |
|
| 641 |
-
|
| 642 |
|
| 643 |
-
|
| 644 |
|
| 645 |
-
|
| 646 |
|
|
|
|
| 647 |
|
|
|
|
| 648 |
|
| 649 |
-
|
| 650 |
|
| 651 |
-
|
| 652 |
|
| 653 |
-
|
| 654 |
|
| 655 |
-
|
| 656 |
|
| 657 |
-
|
| 658 |
|
| 659 |
-
|
| 660 |
|
| 661 |
-
|
| 662 |
|
| 663 |
-
|
| 664 |
|
| 665 |
-
|
| 666 |
-
{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}
|
| 667 |
|
|
|
|
| 1 |
+
[INFO|parser.py:325] 2024-07-16 10:32:20,722 >> Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: True, compute dtype: None
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[INFO|tokenization_utils_base.py:2159] 2024-07-16 10:32:20,724 >> loading file tokenizer.json
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[INFO|tokenization_utils_base.py:2159] 2024-07-16 10:32:20,724 >> loading file added_tokens.json
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07/16/2024 10:32:20 - INFO - llamafactory.hparams.parser - Process rank: 1, device: cuda:1, n_gpu: 1, distributed training: True, compute dtype: None
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[INFO|tokenization_utils_base.py:2159] 2024-07-16 10:32:20,724 >> loading file special_tokens_map.json
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[INFO|tokenization_utils_base.py:2159] 2024-07-16 10:32:20,724 >> loading file tokenizer_config.json
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[WARNING|logging.py:313] 2024-07-16 10:32:20,982 >> Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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[INFO|template.py:270] 2024-07-16 10:32:20,983 >> Replace eos token: <|eot_id|>
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[INFO|loader.py:50] 2024-07-16 10:32:20,983 >> Loading dataset 0716_truthfulqa_benchmark_test.json...
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07/16/2024 10:32:20 - INFO - llamafactory.hparams.parser - Process rank: 3, device: cuda:3, n_gpu: 1, distributed training: True, compute dtype: None
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07/16/2024 10:32:21 - INFO - llamafactory.hparams.parser - Process rank: 7, device: cuda:7, n_gpu: 1, distributed training: True, compute dtype: None
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07/16/2024 10:32:21 - INFO - llamafactory.hparams.parser - Process rank: 6, device: cuda:6, n_gpu: 1, distributed training: True, compute dtype: None
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07/16/2024 10:32:21 - INFO - llamafactory.hparams.parser - Process rank: 4, device: cuda:4, n_gpu: 1, distributed training: True, compute dtype: None
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07/16/2024 10:32:21 - INFO - llamafactory.hparams.parser - Process rank: 5, device: cuda:5, n_gpu: 1, distributed training: True, compute dtype: None
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07/16/2024 10:32:21 - INFO - llamafactory.hparams.parser - Process rank: 2, device: cuda:2, n_gpu: 1, distributed training: True, compute dtype: None
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| 31 |
+
07/16/2024 10:32:21 - WARNING - transformers.tokenization_utils_base - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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07/16/2024 10:32:21 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
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07/16/2024 10:32:21 - WARNING - transformers.tokenization_utils_base - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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07/16/2024 10:32:21 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
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07/16/2024 10:32:21 - WARNING - transformers.tokenization_utils_base - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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07/16/2024 10:32:21 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
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07/16/2024 10:32:21 - WARNING - transformers.tokenization_utils_base - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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07/16/2024 10:32:21 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
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07/16/2024 10:32:21 - WARNING - transformers.tokenization_utils_base - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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07/16/2024 10:32:21 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
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07/16/2024 10:32:21 - WARNING - transformers.tokenization_utils_base - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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07/16/2024 10:32:21 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
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07/16/2024 10:32:21 - WARNING - transformers.tokenization_utils_base - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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07/16/2024 10:32:21 - INFO - llamafactory.data.template - Replace eos token: <|eot_id|>
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07/16/2024 10:32:22 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_test.json...
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07/16/2024 10:32:22 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_test.json...
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07/16/2024 10:32:22 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_test.json...
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07/16/2024 10:32:22 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_test.json...
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07/16/2024 10:32:22 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_test.json...
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07/16/2024 10:32:22 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_test.json...
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07/16/2024 10:32:22 - INFO - llamafactory.data.loader - Loading dataset 0716_truthfulqa_benchmark_test.json...
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+
[INFO|configuration_utils.py:731] 2024-07-16 10:32:26,193 >> loading configuration file saves/LLaMA3-8B-Chat/full/train_2024-07-16-09-46-28_llama3/config.json
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+
[INFO|configuration_utils.py:800] 2024-07-16 10:32:26,196 >> Model config LlamaConfig {
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| 76 |
+
"_name_or_path": "saves/LLaMA3-8B-Chat/full/train_2024-07-16-09-46-28_llama3",
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| 77 |
"architectures": [
|
| 78 |
"LlamaForCausalLM"
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| 79 |
],
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"tie_word_embeddings": false,
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| 99 |
"torch_dtype": "bfloat16",
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| 100 |
"transformers_version": "4.42.3",
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| 101 |
+
"use_cache": false,
|
| 102 |
"vocab_size": 128256
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| 103 |
}
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+
[INFO|patcher.py:81] 2024-07-16 10:32:26,196 >> Using KV cache for faster generation.
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+
[INFO|modeling_utils.py:3553] 2024-07-16 10:32:26,222 >> loading weights file saves/LLaMA3-8B-Chat/full/train_2024-07-16-09-46-28_llama3/model.safetensors.index.json
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| 110 |
+
[INFO|modeling_utils.py:1531] 2024-07-16 10:32:26,223 >> Instantiating LlamaForCausalLM model under default dtype torch.bfloat16.
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| 111 |
+
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| 112 |
+
[INFO|configuration_utils.py:1000] 2024-07-16 10:32:26,224 >> Generate config GenerationConfig {
|
| 113 |
"bos_token_id": 128000,
|
| 114 |
"eos_token_id": 128009
|
| 115 |
}
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| 116 |
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| 117 |
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| 118 |
+
07/16/2024 10:32:26 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
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+
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+
07/16/2024 10:32:26 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
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+
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+
07/16/2024 10:32:26 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
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| 123 |
+
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| 124 |
+
07/16/2024 10:32:26 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
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| 125 |
+
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| 126 |
+
07/16/2024 10:32:26 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
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+
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| 128 |
+
07/16/2024 10:32:26 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
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+
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+
07/16/2024 10:32:26 - INFO - llamafactory.model.patcher - Using KV cache for faster generation.
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+
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+
[INFO|modeling_utils.py:4364] 2024-07-16 10:32:30,498 >> All model checkpoint weights were used when initializing LlamaForCausalLM.
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| 133 |
|
| 134 |
|
| 135 |
+
[INFO|modeling_utils.py:4372] 2024-07-16 10:32:30,498 >> All the weights of LlamaForCausalLM were initialized from the model checkpoint at saves/LLaMA3-8B-Chat/full/train_2024-07-16-09-46-28_llama3.
|
| 136 |
If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
|
| 137 |
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| 138 |
+
[INFO|configuration_utils.py:953] 2024-07-16 10:32:30,502 >> loading configuration file saves/LLaMA3-8B-Chat/full/train_2024-07-16-09-46-28_llama3/generation_config.json
|
| 139 |
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| 140 |
+
[INFO|configuration_utils.py:1000] 2024-07-16 10:32:30,502 >> Generate config GenerationConfig {
|
| 141 |
"bos_token_id": 128000,
|
| 142 |
"do_sample": true,
|
| 143 |
"eos_token_id": [
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| 150 |
}
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+
[INFO|attention.py:80] 2024-07-16 10:32:30,508 >> Using torch SDPA for faster training and inference.
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| 154 |
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+
[INFO|loader.py:196] 2024-07-16 10:32:30,514 >> all params: 8,030,261,248
|
| 156 |
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[INFO|trainer.py:3788] 2024-07-16 10:32:30,619 >>
|
| 158 |
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***** Running Evaluation *****
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[INFO|trainer.py:3790] 2024-07-16 10:32:30,619 >> Num examples = 1243
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[INFO|trainer.py:3793] 2024-07-16 10:32:30,619 >> Batch size = 2
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[WARNING|logging.py:328] 2024-07-16 10:32:31,262 >> We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
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07/16/2024 10:32:31 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
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07/16/2024 10:32:31 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
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07/16/2024 10:32:31 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
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07/16/2024 10:32:31 - INFO - llamafactory.model.loader - all params: 8,030,261,248
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07/16/2024 10:32:31 - INFO - llamafactory.model.loader - all params: 8,030,261,248
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07/16/2024 10:32:31 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
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07/16/2024 10:32:31 - INFO - llamafactory.model.loader - all params: 8,030,261,248
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07/16/2024 10:32:31 - INFO - llamafactory.model.loader - all params: 8,030,261,248
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07/16/2024 10:32:31 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
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07/16/2024 10:32:31 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
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07/16/2024 10:32:31 - INFO - llamafactory.model.loader - all params: 8,030,261,248
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07/16/2024 10:32:31 - INFO - llamafactory.model.loader - all params: 8,030,261,248
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| 189 |
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| 190 |
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07/16/2024 10:32:31 - INFO - llamafactory.model.model_utils.attention - Using torch SDPA for faster training and inference.
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| 191 |
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| 192 |
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07/16/2024 10:32:31 - INFO - llamafactory.model.loader - all params: 8,030,261,248
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| 193 |
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| 194 |
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07/16/2024 10:32:32 - WARNING - transformers.models.llama.modeling_llama - We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
|
| 195 |
|
| 196 |
+
07/16/2024 10:32:32 - WARNING - transformers.models.llama.modeling_llama - We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
|
| 197 |
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| 198 |
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07/16/2024 10:32:32 - WARNING - transformers.models.llama.modeling_llama - We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
|
| 199 |
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| 200 |
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07/16/2024 10:32:32 - WARNING - transformers.models.llama.modeling_llama - We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
|
| 201 |
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| 202 |
+
07/16/2024 10:32:32 - WARNING - transformers.models.llama.modeling_llama - We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
|
| 203 |
|
| 204 |
+
07/16/2024 10:32:32 - WARNING - transformers.models.llama.modeling_llama - We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
|
| 205 |
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| 206 |
+
07/16/2024 10:32:32 - WARNING - transformers.models.llama.modeling_llama - We detected that you are passing `past_key_values` as a tuple and this is deprecated and will be removed in v4.43. Please use an appropriate `Cache` class (https://huggingface.co/docs/transformers/v4.41.3/en/internal/generation_utils#transformers.Cache)
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| 207 |
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runs/Jul16_10-32-20_9d2ad312bd69/events.out.tfevents.1721125959.9d2ad312bd69.126273.0
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
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oid sha256:f246f54b03d4a5324f0eaa11ed4b19cad68e5bc8ba2cbf1287840aa3a685dbf5
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| 3 |
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size 440
|
trainer_log.jsonl
CHANGED
|
@@ -1,191 +1,16 @@
|
|
| 1 |
-
{"current_steps":
|
| 2 |
-
{"current_steps":
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| 3 |
-
{"current_steps":
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| 4 |
-
{"current_steps":
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| 5 |
-
{"current_steps":
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| 6 |
-
{"current_steps":
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| 7 |
-
{"current_steps":
|
| 8 |
-
{"current_steps":
|
| 9 |
-
{"current_steps":
|
| 10 |
-
{"current_steps":
|
| 11 |
-
{"current_steps":
|
| 12 |
-
{"current_steps":
|
| 13 |
-
{"current_steps":
|
| 14 |
-
{"current_steps":
|
| 15 |
-
{"current_steps":
|
| 16 |
-
{"current_steps":
|
| 17 |
-
{"current_steps": 17, "total_steps": 190, "loss": 0.5418, "learning_rate": 4.981365379103306e-06, "epoch": 0.43729903536977494, "percentage": 8.95, "elapsed_time": "0:03:44", "remaining_time": "0:38:04", "throughput": "478.83", "total_tokens": 107488}
|
| 18 |
-
{"current_steps": 18, "total_steps": 190, "loss": 0.2263, "learning_rate": 4.975670171853926e-06, "epoch": 0.4630225080385852, "percentage": 9.47, "elapsed_time": "0:03:57", "remaining_time": "0:37:50", "throughput": "479.37", "total_tokens": 113920}
|
| 19 |
-
{"current_steps": 19, "total_steps": 190, "loss": 0.1612, "learning_rate": 4.9692208514878445e-06, "epoch": 0.4887459807073955, "percentage": 10.0, "elapsed_time": "0:04:10", "remaining_time": "0:37:37", "throughput": "479.86", "total_tokens": 120352}
|
| 20 |
-
{"current_steps": 20, "total_steps": 190, "loss": 0.3299, "learning_rate": 4.962019382530521e-06, "epoch": 0.5144694533762058, "percentage": 10.53, "elapsed_time": "0:04:23", "remaining_time": "0:37:23", "throughput": "480.64", "total_tokens": 126880}
|
| 21 |
-
{"current_steps": 21, "total_steps": 190, "loss": 0.2013, "learning_rate": 4.9540679586191605e-06, "epoch": 0.5401929260450161, "percentage": 11.05, "elapsed_time": "0:04:37", "remaining_time": "0:37:10", "throughput": "481.12", "total_tokens": 133344}
|
| 22 |
-
{"current_steps": 22, "total_steps": 190, "loss": 0.2446, "learning_rate": 4.9453690018345144e-06, "epoch": 0.5659163987138264, "percentage": 11.58, "elapsed_time": "0:04:50", "remaining_time": "0:36:56", "throughput": "481.36", "total_tokens": 139744}
|
| 23 |
-
{"current_steps": 23, "total_steps": 190, "loss": 0.2235, "learning_rate": 4.935925161963089e-06, "epoch": 0.5916398713826366, "percentage": 12.11, "elapsed_time": "0:05:03", "remaining_time": "0:36:43", "throughput": "481.55", "total_tokens": 146144}
|
| 24 |
-
{"current_steps": 24, "total_steps": 190, "loss": 0.116, "learning_rate": 4.925739315689991e-06, "epoch": 0.617363344051447, "percentage": 12.63, "elapsed_time": "0:05:16", "remaining_time": "0:36:30", "throughput": "480.78", "total_tokens": 152240}
|
| 25 |
-
{"current_steps": 25, "total_steps": 190, "loss": 0.2179, "learning_rate": 4.914814565722671e-06, "epoch": 0.6430868167202572, "percentage": 13.16, "elapsed_time": "0:05:29", "remaining_time": "0:36:16", "throughput": "480.61", "total_tokens": 158512}
|
| 26 |
-
{"current_steps": 26, "total_steps": 190, "loss": 0.1414, "learning_rate": 4.903154239845798e-06, "epoch": 0.6688102893890675, "percentage": 13.68, "elapsed_time": "0:05:42", "remaining_time": "0:36:03", "throughput": "480.45", "total_tokens": 164784}
|
| 27 |
-
{"current_steps": 27, "total_steps": 190, "loss": 0.1181, "learning_rate": 4.890761889907589e-06, "epoch": 0.6945337620578779, "percentage": 14.21, "elapsed_time": "0:05:56", "remaining_time": "0:35:49", "throughput": "481.03", "total_tokens": 171312}
|
| 28 |
-
{"current_steps": 28, "total_steps": 190, "loss": 0.2753, "learning_rate": 4.8776412907378845e-06, "epoch": 0.7202572347266881, "percentage": 14.74, "elapsed_time": "0:06:09", "remaining_time": "0:35:36", "throughput": "481.61", "total_tokens": 177856}
|
| 29 |
-
{"current_steps": 29, "total_steps": 190, "loss": 0.3255, "learning_rate": 4.863796438998293e-06, "epoch": 0.7459807073954984, "percentage": 15.26, "elapsed_time": "0:06:22", "remaining_time": "0:35:23", "throughput": "482.08", "total_tokens": 184368}
|
| 30 |
-
{"current_steps": 30, "total_steps": 190, "loss": 0.2352, "learning_rate": 4.849231551964771e-06, "epoch": 0.7717041800643086, "percentage": 15.79, "elapsed_time": "0:06:35", "remaining_time": "0:35:09", "throughput": "482.60", "total_tokens": 190928}
|
| 31 |
-
{"current_steps": 31, "total_steps": 190, "loss": 0.063, "learning_rate": 4.833951066243004e-06, "epoch": 0.797427652733119, "percentage": 16.32, "elapsed_time": "0:06:48", "remaining_time": "0:34:56", "throughput": "482.48", "total_tokens": 197232}
|
| 32 |
-
{"current_steps": 32, "total_steps": 190, "loss": 0.2042, "learning_rate": 4.817959636416969e-06, "epoch": 0.8231511254019293, "percentage": 16.84, "elapsed_time": "0:07:01", "remaining_time": "0:34:43", "throughput": "482.50", "total_tokens": 203584}
|
| 33 |
-
{"current_steps": 33, "total_steps": 190, "loss": 0.1364, "learning_rate": 4.801262133631101e-06, "epoch": 0.8488745980707395, "percentage": 17.37, "elapsed_time": "0:07:15", "remaining_time": "0:34:30", "throughput": "482.93", "total_tokens": 210128}
|
| 34 |
-
{"current_steps": 34, "total_steps": 190, "loss": 0.0934, "learning_rate": 4.783863644106502e-06, "epoch": 0.8745980707395499, "percentage": 17.89, "elapsed_time": "0:07:28", "remaining_time": "0:34:16", "throughput": "482.98", "total_tokens": 216512}
|
| 35 |
-
{"current_steps": 35, "total_steps": 190, "loss": 0.1332, "learning_rate": 4.765769467591626e-06, "epoch": 0.9003215434083601, "percentage": 18.42, "elapsed_time": "0:07:41", "remaining_time": "0:34:03", "throughput": "483.11", "total_tokens": 222928}
|
| 36 |
-
{"current_steps": 36, "total_steps": 190, "loss": 0.1595, "learning_rate": 4.746985115747918e-06, "epoch": 0.9260450160771704, "percentage": 18.95, "elapsed_time": "0:07:54", "remaining_time": "0:33:50", "throughput": "483.00", "total_tokens": 229232}
|
| 37 |
-
{"current_steps": 37, "total_steps": 190, "loss": 0.1528, "learning_rate": 4.72751631047092e-06, "epoch": 0.9517684887459807, "percentage": 19.47, "elapsed_time": "0:08:07", "remaining_time": "0:33:37", "throughput": "483.18", "total_tokens": 235680}
|
| 38 |
-
{"current_steps": 38, "total_steps": 190, "loss": 0.1342, "learning_rate": 4.707368982147318e-06, "epoch": 0.977491961414791, "percentage": 20.0, "elapsed_time": "0:08:20", "remaining_time": "0:33:23", "throughput": "483.48", "total_tokens": 242192}
|
| 39 |
-
{"current_steps": 39, "total_steps": 190, "loss": 0.1586, "learning_rate": 4.68654926784849e-06, "epoch": 1.0032154340836013, "percentage": 20.53, "elapsed_time": "0:08:34", "remaining_time": "0:33:10", "throughput": "483.71", "total_tokens": 248672}
|
| 40 |
-
{"current_steps": 40, "total_steps": 190, "loss": 0.1072, "learning_rate": 4.665063509461098e-06, "epoch": 1.0289389067524115, "percentage": 21.05, "elapsed_time": "0:08:47", "remaining_time": "0:32:57", "throughput": "483.77", "total_tokens": 255072}
|
| 41 |
-
{"current_steps": 41, "total_steps": 190, "loss": 0.0357, "learning_rate": 4.642918251755281e-06, "epoch": 1.0546623794212218, "percentage": 21.58, "elapsed_time": "0:09:00", "remaining_time": "0:32:43", "throughput": "484.04", "total_tokens": 261584}
|
| 42 |
-
{"current_steps": 42, "total_steps": 190, "loss": 0.06, "learning_rate": 4.620120240391065e-06, "epoch": 1.0803858520900322, "percentage": 22.11, "elapsed_time": "0:09:13", "remaining_time": "0:32:30", "throughput": "484.18", "total_tokens": 268032}
|
| 43 |
-
{"current_steps": 43, "total_steps": 190, "loss": 0.0902, "learning_rate": 4.596676419863561e-06, "epoch": 1.1061093247588425, "percentage": 22.63, "elapsed_time": "0:09:26", "remaining_time": "0:32:17", "throughput": "484.46", "total_tokens": 274560}
|
| 44 |
-
{"current_steps": 44, "total_steps": 190, "loss": 0.0202, "learning_rate": 4.572593931387604e-06, "epoch": 1.1318327974276527, "percentage": 23.16, "elapsed_time": "0:09:39", "remaining_time": "0:32:04", "throughput": "484.51", "total_tokens": 280960}
|
| 45 |
-
{"current_steps": 45, "total_steps": 190, "loss": 0.038, "learning_rate": 4.54788011072248e-06, "epoch": 1.157556270096463, "percentage": 23.68, "elapsed_time": "0:09:53", "remaining_time": "0:31:51", "throughput": "484.10", "total_tokens": 287104}
|
| 46 |
-
{"current_steps": 46, "total_steps": 190, "loss": 0.0379, "learning_rate": 4.522542485937369e-06, "epoch": 1.1832797427652733, "percentage": 24.21, "elapsed_time": "0:10:06", "remaining_time": "0:31:37", "throughput": "484.17", "total_tokens": 293520}
|
| 47 |
-
{"current_steps": 47, "total_steps": 190, "loss": 0.0742, "learning_rate": 4.496588775118232e-06, "epoch": 1.2090032154340835, "percentage": 24.74, "elapsed_time": "0:10:19", "remaining_time": "0:31:24", "throughput": "484.24", "total_tokens": 299936}
|
| 48 |
-
{"current_steps": 48, "total_steps": 190, "loss": 0.0658, "learning_rate": 4.470026884016805e-06, "epoch": 1.234726688102894, "percentage": 25.26, "elapsed_time": "0:10:32", "remaining_time": "0:31:11", "throughput": "483.64", "total_tokens": 305936}
|
| 49 |
-
{"current_steps": 49, "total_steps": 190, "loss": 0.0336, "learning_rate": 4.442864903642428e-06, "epoch": 1.2604501607717042, "percentage": 25.79, "elapsed_time": "0:10:45", "remaining_time": "0:30:58", "throughput": "483.99", "total_tokens": 312528}
|
| 50 |
-
{"current_steps": 50, "total_steps": 190, "loss": 0.1021, "learning_rate": 4.415111107797445e-06, "epoch": 1.2861736334405145, "percentage": 26.32, "elapsed_time": "0:10:58", "remaining_time": "0:30:44", "throughput": "483.77", "total_tokens": 318752}
|
| 51 |
-
{"current_steps": 51, "total_steps": 190, "loss": 0.1312, "learning_rate": 4.386773950556931e-06, "epoch": 1.3118971061093248, "percentage": 26.84, "elapsed_time": "0:11:12", "remaining_time": "0:30:31", "throughput": "483.74", "total_tokens": 325088}
|
| 52 |
-
{"current_steps": 52, "total_steps": 190, "loss": 0.0665, "learning_rate": 4.357862063693486e-06, "epoch": 1.337620578778135, "percentage": 27.37, "elapsed_time": "0:11:25", "remaining_time": "0:30:18", "throughput": "483.68", "total_tokens": 331424}
|
| 53 |
-
{"current_steps": 53, "total_steps": 190, "loss": 0.0679, "learning_rate": 4.328384254047927e-06, "epoch": 1.3633440514469453, "percentage": 27.89, "elapsed_time": "0:11:38", "remaining_time": "0:30:05", "throughput": "483.66", "total_tokens": 337776}
|
| 54 |
-
{"current_steps": 54, "total_steps": 190, "loss": 0.0579, "learning_rate": 4.2983495008466285e-06, "epoch": 1.3890675241157555, "percentage": 28.42, "elapsed_time": "0:11:51", "remaining_time": "0:29:52", "throughput": "483.46", "total_tokens": 344000}
|
| 55 |
-
{"current_steps": 55, "total_steps": 190, "loss": 0.0542, "learning_rate": 4.267766952966369e-06, "epoch": 1.414790996784566, "percentage": 28.95, "elapsed_time": "0:12:04", "remaining_time": "0:29:38", "throughput": "483.69", "total_tokens": 350528}
|
| 56 |
-
{"current_steps": 56, "total_steps": 190, "loss": 0.0476, "learning_rate": 4.236645926147493e-06, "epoch": 1.4405144694533762, "percentage": 29.47, "elapsed_time": "0:12:17", "remaining_time": "0:29:25", "throughput": "483.69", "total_tokens": 356896}
|
| 57 |
-
{"current_steps": 57, "total_steps": 190, "loss": 0.0613, "learning_rate": 4.204995900156247e-06, "epoch": 1.4662379421221865, "percentage": 30.0, "elapsed_time": "0:12:31", "remaining_time": "0:29:12", "throughput": "483.84", "total_tokens": 363376}
|
| 58 |
-
{"current_steps": 58, "total_steps": 190, "loss": 0.0995, "learning_rate": 4.172826515897146e-06, "epoch": 1.4919614147909968, "percentage": 30.53, "elapsed_time": "0:12:44", "remaining_time": "0:28:59", "throughput": "483.76", "total_tokens": 369680}
|
| 59 |
-
{"current_steps": 59, "total_steps": 190, "loss": 0.0532, "learning_rate": 4.140147572476269e-06, "epoch": 1.517684887459807, "percentage": 31.05, "elapsed_time": "0:12:57", "remaining_time": "0:28:45", "throughput": "483.57", "total_tokens": 375904}
|
| 60 |
-
{"current_steps": 60, "total_steps": 190, "loss": 0.0824, "learning_rate": 4.106969024216348e-06, "epoch": 1.5434083601286175, "percentage": 31.58, "elapsed_time": "0:13:10", "remaining_time": "0:28:32", "throughput": "483.60", "total_tokens": 382304}
|
| 61 |
-
{"current_steps": 61, "total_steps": 190, "loss": 0.0499, "learning_rate": 4.073300977624594e-06, "epoch": 1.5691318327974275, "percentage": 32.11, "elapsed_time": "0:13:23", "remaining_time": "0:28:19", "throughput": "483.63", "total_tokens": 388688}
|
| 62 |
-
{"current_steps": 62, "total_steps": 190, "loss": 0.0413, "learning_rate": 4.039153688314146e-06, "epoch": 1.594855305466238, "percentage": 32.63, "elapsed_time": "0:13:36", "remaining_time": "0:28:06", "throughput": "483.75", "total_tokens": 395152}
|
| 63 |
-
{"current_steps": 63, "total_steps": 190, "loss": 0.0637, "learning_rate": 4.0045375578801216e-06, "epoch": 1.6205787781350482, "percentage": 33.16, "elapsed_time": "0:13:50", "remaining_time": "0:27:53", "throughput": "484.01", "total_tokens": 401728}
|
| 64 |
-
{"current_steps": 64, "total_steps": 190, "loss": 0.0529, "learning_rate": 3.969463130731183e-06, "epoch": 1.6463022508038585, "percentage": 33.68, "elapsed_time": "0:14:03", "remaining_time": "0:27:40", "throughput": "483.77", "total_tokens": 407904}
|
| 65 |
-
{"current_steps": 65, "total_steps": 190, "loss": 0.0474, "learning_rate": 3.933941090877615e-06, "epoch": 1.6720257234726688, "percentage": 34.21, "elapsed_time": "0:14:16", "remaining_time": "0:27:26", "throughput": "483.73", "total_tokens": 414240}
|
| 66 |
-
{"current_steps": 66, "total_steps": 190, "loss": 0.0649, "learning_rate": 3.897982258676867e-06, "epoch": 1.697749196141479, "percentage": 34.74, "elapsed_time": "0:14:29", "remaining_time": "0:27:13", "throughput": "483.55", "total_tokens": 420448}
|
| 67 |
-
{"current_steps": 67, "total_steps": 190, "loss": 0.0505, "learning_rate": 3.861597587537568e-06, "epoch": 1.7234726688102895, "percentage": 35.26, "elapsed_time": "0:14:42", "remaining_time": "0:27:00", "throughput": "483.51", "total_tokens": 426784}
|
| 68 |
-
{"current_steps": 68, "total_steps": 190, "loss": 0.0621, "learning_rate": 3.824798160583012e-06, "epoch": 1.7491961414790995, "percentage": 35.79, "elapsed_time": "0:14:55", "remaining_time": "0:26:47", "throughput": "483.14", "total_tokens": 432816}
|
| 69 |
-
{"current_steps": 69, "total_steps": 190, "loss": 0.0769, "learning_rate": 3.787595187275136e-06, "epoch": 1.77491961414791, "percentage": 36.32, "elapsed_time": "0:15:09", "remaining_time": "0:26:34", "throughput": "483.20", "total_tokens": 439232}
|
| 70 |
-
{"current_steps": 70, "total_steps": 190, "loss": 0.0435, "learning_rate": 3.7500000000000005e-06, "epoch": 1.8006430868167203, "percentage": 36.84, "elapsed_time": "0:15:22", "remaining_time": "0:26:20", "throughput": "483.42", "total_tokens": 445792}
|
| 71 |
-
{"current_steps": 71, "total_steps": 190, "loss": 0.0673, "learning_rate": 3.7120240506158433e-06, "epoch": 1.8263665594855305, "percentage": 37.37, "elapsed_time": "0:15:35", "remaining_time": "0:26:07", "throughput": "483.69", "total_tokens": 452400}
|
| 72 |
-
{"current_steps": 72, "total_steps": 190, "loss": 0.1316, "learning_rate": 3.6736789069647273e-06, "epoch": 1.852090032154341, "percentage": 37.89, "elapsed_time": "0:15:48", "remaining_time": "0:25:54", "throughput": "483.44", "total_tokens": 458528}
|
| 73 |
-
{"current_steps": 73, "total_steps": 190, "loss": 0.0531, "learning_rate": 3.634976249348867e-06, "epoch": 1.877813504823151, "percentage": 38.42, "elapsed_time": "0:16:01", "remaining_time": "0:25:41", "throughput": "483.53", "total_tokens": 464976}
|
| 74 |
-
{"current_steps": 74, "total_steps": 190, "loss": 0.0287, "learning_rate": 3.595927866972694e-06, "epoch": 1.9035369774919615, "percentage": 38.95, "elapsed_time": "0:16:14", "remaining_time": "0:25:28", "throughput": "483.62", "total_tokens": 471440}
|
| 75 |
-
{"current_steps": 75, "total_steps": 190, "loss": 0.0648, "learning_rate": 3.556545654351749e-06, "epoch": 1.9292604501607717, "percentage": 39.47, "elapsed_time": "0:16:27", "remaining_time": "0:25:14", "throughput": "483.59", "total_tokens": 477776}
|
| 76 |
-
{"current_steps": 76, "total_steps": 190, "loss": 0.1211, "learning_rate": 3.516841607689501e-06, "epoch": 1.954983922829582, "percentage": 40.0, "elapsed_time": "0:16:41", "remaining_time": "0:25:01", "throughput": "483.54", "total_tokens": 484096}
|
| 77 |
-
{"current_steps": 77, "total_steps": 190, "loss": 0.0879, "learning_rate": 3.476827821223184e-06, "epoch": 1.9807073954983923, "percentage": 40.53, "elapsed_time": "0:16:54", "remaining_time": "0:24:48", "throughput": "483.26", "total_tokens": 490176}
|
| 78 |
-
{"current_steps": 78, "total_steps": 190, "loss": 0.0227, "learning_rate": 3.436516483539781e-06, "epoch": 2.0064308681672025, "percentage": 41.05, "elapsed_time": "0:17:07", "remaining_time": "0:24:35", "throughput": "483.39", "total_tokens": 496672}
|
| 79 |
-
{"current_steps": 79, "total_steps": 190, "loss": 0.0228, "learning_rate": 3.39591987386325e-06, "epoch": 2.032154340836013, "percentage": 41.58, "elapsed_time": "0:17:20", "remaining_time": "0:24:22", "throughput": "483.45", "total_tokens": 503088}
|
| 80 |
-
{"current_steps": 80, "total_steps": 190, "loss": 0.036, "learning_rate": 3.3550503583141726e-06, "epoch": 2.057877813504823, "percentage": 42.11, "elapsed_time": "0:17:33", "remaining_time": "0:24:08", "throughput": "483.47", "total_tokens": 509472}
|
| 81 |
-
{"current_steps": 81, "total_steps": 190, "loss": 0.0138, "learning_rate": 3.313920386142892e-06, "epoch": 2.0836012861736335, "percentage": 42.63, "elapsed_time": "0:17:46", "remaining_time": "0:23:55", "throughput": "483.36", "total_tokens": 515728}
|
| 82 |
-
{"current_steps": 82, "total_steps": 190, "loss": 0.0697, "learning_rate": 3.272542485937369e-06, "epoch": 2.1093247588424435, "percentage": 43.16, "elapsed_time": "0:18:00", "remaining_time": "0:23:42", "throughput": "483.18", "total_tokens": 521904}
|
| 83 |
-
{"current_steps": 83, "total_steps": 190, "loss": 0.0508, "learning_rate": 3.230929261806842e-06, "epoch": 2.135048231511254, "percentage": 43.68, "elapsed_time": "0:18:13", "remaining_time": "0:23:29", "throughput": "482.89", "total_tokens": 527952}
|
| 84 |
-
{"current_steps": 84, "total_steps": 190, "loss": 0.0088, "learning_rate": 3.189093389542498e-06, "epoch": 2.1607717041800645, "percentage": 44.21, "elapsed_time": "0:18:26", "remaining_time": "0:23:16", "throughput": "483.18", "total_tokens": 534624}
|
| 85 |
-
{"current_steps": 85, "total_steps": 190, "loss": 0.0158, "learning_rate": 3.147047612756302e-06, "epoch": 2.1864951768488745, "percentage": 44.74, "elapsed_time": "0:18:39", "remaining_time": "0:23:03", "throughput": "483.34", "total_tokens": 541168}
|
| 86 |
-
{"current_steps": 86, "total_steps": 190, "loss": 0.006, "learning_rate": 3.1048047389991693e-06, "epoch": 2.212218649517685, "percentage": 45.26, "elapsed_time": "0:18:52", "remaining_time": "0:22:49", "throughput": "483.30", "total_tokens": 547488}
|
| 87 |
-
{"current_steps": 87, "total_steps": 190, "loss": 0.038, "learning_rate": 3.062377635859663e-06, "epoch": 2.237942122186495, "percentage": 45.79, "elapsed_time": "0:19:05", "remaining_time": "0:22:36", "throughput": "483.67", "total_tokens": 554272}
|
| 88 |
-
{"current_steps": 88, "total_steps": 190, "loss": 0.0004, "learning_rate": 3.019779227044398e-06, "epoch": 2.2636655948553055, "percentage": 46.32, "elapsed_time": "0:19:19", "remaining_time": "0:22:23", "throughput": "483.58", "total_tokens": 560528}
|
| 89 |
-
{"current_steps": 89, "total_steps": 190, "loss": 0.0111, "learning_rate": 2.9770224884413625e-06, "epoch": 2.289389067524116, "percentage": 46.84, "elapsed_time": "0:19:32", "remaining_time": "0:22:10", "throughput": "483.47", "total_tokens": 566784}
|
| 90 |
-
{"current_steps": 90, "total_steps": 190, "loss": 0.0008, "learning_rate": 2.9341204441673267e-06, "epoch": 2.315112540192926, "percentage": 47.37, "elapsed_time": "0:19:45", "remaining_time": "0:21:57", "throughput": "483.64", "total_tokens": 573344}
|
| 91 |
-
{"current_steps": 91, "total_steps": 190, "loss": 0.0182, "learning_rate": 2.8910861626005774e-06, "epoch": 2.3408360128617365, "percentage": 47.89, "elapsed_time": "0:19:58", "remaining_time": "0:21:43", "throughput": "483.70", "total_tokens": 579776}
|
| 92 |
-
{"current_steps": 92, "total_steps": 190, "loss": 0.0491, "learning_rate": 2.847932752400164e-06, "epoch": 2.3665594855305465, "percentage": 48.42, "elapsed_time": "0:20:11", "remaining_time": "0:21:30", "throughput": "483.66", "total_tokens": 586096}
|
| 93 |
-
{"current_steps": 93, "total_steps": 190, "loss": 0.004, "learning_rate": 2.804673358512869e-06, "epoch": 2.392282958199357, "percentage": 48.95, "elapsed_time": "0:20:24", "remaining_time": "0:21:17", "throughput": "483.71", "total_tokens": 592528}
|
| 94 |
-
{"current_steps": 94, "total_steps": 190, "loss": 0.0176, "learning_rate": 2.761321158169134e-06, "epoch": 2.418006430868167, "percentage": 49.47, "elapsed_time": "0:20:38", "remaining_time": "0:21:04", "throughput": "483.76", "total_tokens": 598960}
|
| 95 |
-
{"current_steps": 95, "total_steps": 190, "loss": 0.019, "learning_rate": 2.717889356869146e-06, "epoch": 2.4437299035369775, "percentage": 50.0, "elapsed_time": "0:20:51", "remaining_time": "0:20:51", "throughput": "483.69", "total_tokens": 605232}
|
| 96 |
-
{"current_steps": 96, "total_steps": 190, "loss": 0.027, "learning_rate": 2.6743911843603134e-06, "epoch": 2.469453376205788, "percentage": 50.53, "elapsed_time": "0:21:04", "remaining_time": "0:20:38", "throughput": "483.49", "total_tokens": 611344}
|
| 97 |
-
{"current_steps": 97, "total_steps": 190, "loss": 0.0354, "learning_rate": 2.6308398906073603e-06, "epoch": 2.495176848874598, "percentage": 51.05, "elapsed_time": "0:21:17", "remaining_time": "0:20:24", "throughput": "483.49", "total_tokens": 617712}
|
| 98 |
-
{"current_steps": 98, "total_steps": 190, "loss": 0.0741, "learning_rate": 2.587248741756253e-06, "epoch": 2.5209003215434085, "percentage": 51.58, "elapsed_time": "0:21:30", "remaining_time": "0:20:11", "throughput": "483.59", "total_tokens": 624208}
|
| 99 |
-
{"current_steps": 99, "total_steps": 190, "loss": 0.0582, "learning_rate": 2.543631016093209e-06, "epoch": 2.5466237942122185, "percentage": 52.11, "elapsed_time": "0:21:43", "remaining_time": "0:19:58", "throughput": "483.53", "total_tokens": 630496}
|
| 100 |
-
{"current_steps": 100, "total_steps": 190, "loss": 0.0096, "learning_rate": 2.5e-06, "epoch": 2.572347266881029, "percentage": 52.63, "elapsed_time": "0:21:57", "remaining_time": "0:19:45", "throughput": "483.66", "total_tokens": 637040}
|
| 101 |
-
{"current_steps": 101, "total_steps": 190, "loss": 0.0263, "learning_rate": 2.4563689839067913e-06, "epoch": 2.598070739549839, "percentage": 53.16, "elapsed_time": "0:22:10", "remaining_time": "0:19:32", "throughput": "483.71", "total_tokens": 643472}
|
| 102 |
-
{"current_steps": 102, "total_steps": 190, "loss": 0.0121, "learning_rate": 2.4127512582437486e-06, "epoch": 2.6237942122186495, "percentage": 53.68, "elapsed_time": "0:22:23", "remaining_time": "0:19:19", "throughput": "483.65", "total_tokens": 649760}
|
| 103 |
-
{"current_steps": 103, "total_steps": 190, "loss": 0.0204, "learning_rate": 2.3691601093926406e-06, "epoch": 2.64951768488746, "percentage": 54.21, "elapsed_time": "0:22:36", "remaining_time": "0:19:05", "throughput": "483.62", "total_tokens": 656096}
|
| 104 |
-
{"current_steps": 104, "total_steps": 190, "loss": 0.0325, "learning_rate": 2.325608815639687e-06, "epoch": 2.67524115755627, "percentage": 54.74, "elapsed_time": "0:22:49", "remaining_time": "0:18:52", "throughput": "483.74", "total_tokens": 662624}
|
| 105 |
-
{"current_steps": 105, "total_steps": 190, "loss": 0.0076, "learning_rate": 2.2821106431308546e-06, "epoch": 2.7009646302250805, "percentage": 55.26, "elapsed_time": "0:23:02", "remaining_time": "0:18:39", "throughput": "483.58", "total_tokens": 668768}
|
| 106 |
-
{"current_steps": 106, "total_steps": 190, "loss": 0.0485, "learning_rate": 2.238678841830867e-06, "epoch": 2.7266881028938905, "percentage": 55.79, "elapsed_time": "0:23:16", "remaining_time": "0:18:26", "throughput": "483.48", "total_tokens": 674992}
|
| 107 |
-
{"current_steps": 107, "total_steps": 190, "loss": 0.007, "learning_rate": 2.195326641487132e-06, "epoch": 2.752411575562701, "percentage": 56.32, "elapsed_time": "0:23:29", "remaining_time": "0:18:13", "throughput": "483.31", "total_tokens": 681120}
|
| 108 |
-
{"current_steps": 108, "total_steps": 190, "loss": 0.0347, "learning_rate": 2.1520672475998374e-06, "epoch": 2.778135048231511, "percentage": 56.84, "elapsed_time": "0:23:42", "remaining_time": "0:18:00", "throughput": "483.23", "total_tokens": 687376}
|
| 109 |
-
{"current_steps": 109, "total_steps": 190, "loss": 0.0142, "learning_rate": 2.1089138373994226e-06, "epoch": 2.8038585209003215, "percentage": 57.37, "elapsed_time": "0:23:55", "remaining_time": "0:17:46", "throughput": "483.41", "total_tokens": 693984}
|
| 110 |
-
{"current_steps": 110, "total_steps": 190, "loss": 0.0414, "learning_rate": 2.0658795558326745e-06, "epoch": 2.829581993569132, "percentage": 57.89, "elapsed_time": "0:24:08", "remaining_time": "0:17:33", "throughput": "483.41", "total_tokens": 700352}
|
| 111 |
-
{"current_steps": 111, "total_steps": 190, "loss": 0.0419, "learning_rate": 2.022977511558638e-06, "epoch": 2.855305466237942, "percentage": 58.42, "elapsed_time": "0:24:21", "remaining_time": "0:17:20", "throughput": "483.45", "total_tokens": 706768}
|
| 112 |
-
{"current_steps": 112, "total_steps": 190, "loss": 0.043, "learning_rate": 1.9802207729556023e-06, "epoch": 2.8810289389067525, "percentage": 58.95, "elapsed_time": "0:24:35", "remaining_time": "0:17:07", "throughput": "483.52", "total_tokens": 713248}
|
| 113 |
-
{"current_steps": 113, "total_steps": 190, "loss": 0.0192, "learning_rate": 1.937622364140338e-06, "epoch": 2.906752411575563, "percentage": 59.47, "elapsed_time": "0:24:48", "remaining_time": "0:16:54", "throughput": "483.49", "total_tokens": 719568}
|
| 114 |
-
{"current_steps": 114, "total_steps": 190, "loss": 0.0427, "learning_rate": 1.895195261000831e-06, "epoch": 2.932475884244373, "percentage": 60.0, "elapsed_time": "0:25:01", "remaining_time": "0:16:40", "throughput": "483.53", "total_tokens": 725984}
|
| 115 |
-
{"current_steps": 115, "total_steps": 190, "loss": 0.0116, "learning_rate": 1.852952387243698e-06, "epoch": 2.958199356913183, "percentage": 60.53, "elapsed_time": "0:25:14", "remaining_time": "0:16:27", "throughput": "483.44", "total_tokens": 732224}
|
| 116 |
-
{"current_steps": 116, "total_steps": 190, "loss": 0.0135, "learning_rate": 1.8109066104575023e-06, "epoch": 2.9839228295819935, "percentage": 61.05, "elapsed_time": "0:25:27", "remaining_time": "0:16:14", "throughput": "483.38", "total_tokens": 738496}
|
| 117 |
-
{"current_steps": 117, "total_steps": 190, "loss": 0.0128, "learning_rate": 1.7690707381931585e-06, "epoch": 3.009646302250804, "percentage": 61.58, "elapsed_time": "0:25:40", "remaining_time": "0:16:01", "throughput": "483.40", "total_tokens": 744880}
|
| 118 |
-
{"current_steps": 118, "total_steps": 190, "loss": 0.0021, "learning_rate": 1.7274575140626318e-06, "epoch": 3.035369774919614, "percentage": 62.11, "elapsed_time": "0:25:54", "remaining_time": "0:15:48", "throughput": "483.50", "total_tokens": 751408}
|
| 119 |
-
{"current_steps": 119, "total_steps": 190, "loss": 0.0057, "learning_rate": 1.686079613857109e-06, "epoch": 3.0610932475884245, "percentage": 62.63, "elapsed_time": "0:26:07", "remaining_time": "0:15:35", "throughput": "483.41", "total_tokens": 757632}
|
| 120 |
-
{"current_steps": 120, "total_steps": 190, "loss": 0.0197, "learning_rate": 1.6449496416858285e-06, "epoch": 3.0868167202572345, "percentage": 63.16, "elapsed_time": "0:26:20", "remaining_time": "0:15:21", "throughput": "483.37", "total_tokens": 763936}
|
| 121 |
-
{"current_steps": 121, "total_steps": 190, "loss": 0.0017, "learning_rate": 1.6040801261367494e-06, "epoch": 3.112540192926045, "percentage": 63.68, "elapsed_time": "0:26:33", "remaining_time": "0:15:08", "throughput": "483.22", "total_tokens": 770064}
|
| 122 |
-
{"current_steps": 122, "total_steps": 190, "loss": 0.0068, "learning_rate": 1.56348351646022e-06, "epoch": 3.1382636655948555, "percentage": 64.21, "elapsed_time": "0:26:46", "remaining_time": "0:14:55", "throughput": "483.07", "total_tokens": 776176}
|
| 123 |
-
{"current_steps": 123, "total_steps": 190, "loss": 0.0022, "learning_rate": 1.5231721787768162e-06, "epoch": 3.1639871382636655, "percentage": 64.74, "elapsed_time": "0:26:59", "remaining_time": "0:14:42", "throughput": "483.02", "total_tokens": 782464}
|
| 124 |
-
{"current_steps": 124, "total_steps": 190, "loss": 0.0162, "learning_rate": 1.4831583923105e-06, "epoch": 3.189710610932476, "percentage": 65.26, "elapsed_time": "0:27:13", "remaining_time": "0:14:29", "throughput": "483.18", "total_tokens": 789072}
|
| 125 |
-
{"current_steps": 125, "total_steps": 190, "loss": 0.0014, "learning_rate": 1.443454345648252e-06, "epoch": 3.215434083601286, "percentage": 65.79, "elapsed_time": "0:27:26", "remaining_time": "0:14:16", "throughput": "483.24", "total_tokens": 795536}
|
| 126 |
-
{"current_steps": 126, "total_steps": 190, "loss": 0.0063, "learning_rate": 1.4040721330273063e-06, "epoch": 3.2411575562700965, "percentage": 66.32, "elapsed_time": "0:27:39", "remaining_time": "0:14:02", "throughput": "483.23", "total_tokens": 801888}
|
| 127 |
-
{"current_steps": 127, "total_steps": 190, "loss": 0.0282, "learning_rate": 1.3650237506511333e-06, "epoch": 3.266881028938907, "percentage": 66.84, "elapsed_time": "0:27:52", "remaining_time": "0:13:49", "throughput": "483.34", "total_tokens": 808432}
|
| 128 |
-
{"current_steps": 128, "total_steps": 190, "loss": 0.0003, "learning_rate": 1.3263210930352737e-06, "epoch": 3.292604501607717, "percentage": 67.37, "elapsed_time": "0:28:05", "remaining_time": "0:13:36", "throughput": "483.41", "total_tokens": 814896}
|
| 129 |
-
{"current_steps": 129, "total_steps": 190, "loss": 0.0002, "learning_rate": 1.2879759493841577e-06, "epoch": 3.3183279742765275, "percentage": 67.89, "elapsed_time": "0:28:18", "remaining_time": "0:13:23", "throughput": "483.37", "total_tokens": 821200}
|
| 130 |
-
{"current_steps": 130, "total_steps": 190, "loss": 0.0004, "learning_rate": 1.2500000000000007e-06, "epoch": 3.3440514469453375, "percentage": 68.42, "elapsed_time": "0:28:32", "remaining_time": "0:13:10", "throughput": "483.38", "total_tokens": 827584}
|
| 131 |
-
{"current_steps": 131, "total_steps": 190, "loss": 0.0169, "learning_rate": 1.2124048127248644e-06, "epoch": 3.369774919614148, "percentage": 68.95, "elapsed_time": "0:28:45", "remaining_time": "0:12:57", "throughput": "483.44", "total_tokens": 834048}
|
| 132 |
-
{"current_steps": 132, "total_steps": 190, "loss": 0.0127, "learning_rate": 1.1752018394169882e-06, "epoch": 3.395498392282958, "percentage": 69.47, "elapsed_time": "0:28:58", "remaining_time": "0:12:43", "throughput": "483.34", "total_tokens": 840240}
|
| 133 |
-
{"current_steps": 133, "total_steps": 190, "loss": 0.0045, "learning_rate": 1.1384024124624324e-06, "epoch": 3.4212218649517685, "percentage": 70.0, "elapsed_time": "0:29:11", "remaining_time": "0:12:30", "throughput": "483.25", "total_tokens": 846448}
|
| 134 |
-
{"current_steps": 134, "total_steps": 190, "loss": 0.0924, "learning_rate": 1.1020177413231334e-06, "epoch": 3.446945337620579, "percentage": 70.53, "elapsed_time": "0:29:24", "remaining_time": "0:12:17", "throughput": "483.31", "total_tokens": 852928}
|
| 135 |
-
{"current_steps": 135, "total_steps": 190, "loss": 0.0067, "learning_rate": 1.0660589091223854e-06, "epoch": 3.472668810289389, "percentage": 71.05, "elapsed_time": "0:29:37", "remaining_time": "0:12:04", "throughput": "483.33", "total_tokens": 859312}
|
| 136 |
-
{"current_steps": 136, "total_steps": 190, "loss": 0.003, "learning_rate": 1.0305368692688175e-06, "epoch": 3.4983922829581995, "percentage": 71.58, "elapsed_time": "0:29:51", "remaining_time": "0:11:51", "throughput": "483.19", "total_tokens": 865440}
|
| 137 |
-
{"current_steps": 137, "total_steps": 190, "loss": 0.0164, "learning_rate": 9.95462442119879e-07, "epoch": 3.5241157556270095, "percentage": 72.11, "elapsed_time": "0:30:04", "remaining_time": "0:11:37", "throughput": "483.29", "total_tokens": 871968}
|
| 138 |
-
{"current_steps": 138, "total_steps": 190, "loss": 0.0018, "learning_rate": 9.608463116858544e-07, "epoch": 3.54983922829582, "percentage": 72.63, "elapsed_time": "0:30:17", "remaining_time": "0:11:24", "throughput": "483.30", "total_tokens": 878352}
|
| 139 |
-
{"current_steps": 139, "total_steps": 190, "loss": 0.0226, "learning_rate": 9.266990223754069e-07, "epoch": 3.57556270096463, "percentage": 73.16, "elapsed_time": "0:30:30", "remaining_time": "0:11:11", "throughput": "483.32", "total_tokens": 884736}
|
| 140 |
-
{"current_steps": 140, "total_steps": 190, "loss": 0.0008, "learning_rate": 8.930309757836517e-07, "epoch": 3.6012861736334405, "percentage": 73.68, "elapsed_time": "0:30:43", "remaining_time": "0:10:58", "throughput": "483.26", "total_tokens": 891008}
|
| 141 |
-
{"current_steps": 141, "total_steps": 190, "loss": 0.0004, "learning_rate": 8.598524275237321e-07, "epoch": 3.627009646302251, "percentage": 74.21, "elapsed_time": "0:30:56", "remaining_time": "0:10:45", "throughput": "483.13", "total_tokens": 897120}
|
| 142 |
-
{"current_steps": 142, "total_steps": 190, "loss": 0.0008, "learning_rate": 8.271734841028553e-07, "epoch": 3.652733118971061, "percentage": 74.74, "elapsed_time": "0:31:10", "remaining_time": "0:10:32", "throughput": "483.16", "total_tokens": 903536}
|
| 143 |
-
{"current_steps": 143, "total_steps": 190, "loss": 0.0256, "learning_rate": 7.950040998437541e-07, "epoch": 3.6784565916398715, "percentage": 75.26, "elapsed_time": "0:31:23", "remaining_time": "0:10:18", "throughput": "483.12", "total_tokens": 909824}
|
| 144 |
-
{"current_steps": 144, "total_steps": 190, "loss": 0.0005, "learning_rate": 7.633540738525066e-07, "epoch": 3.7041800643086815, "percentage": 75.79, "elapsed_time": "0:31:36", "remaining_time": "0:10:05", "throughput": "483.08", "total_tokens": 916112}
|
| 145 |
-
{"current_steps": 145, "total_steps": 190, "loss": 0.0045, "learning_rate": 7.322330470336314e-07, "epoch": 3.729903536977492, "percentage": 76.32, "elapsed_time": "0:31:49", "remaining_time": "0:09:52", "throughput": "483.15", "total_tokens": 922592}
|
| 146 |
-
{"current_steps": 146, "total_steps": 190, "loss": 0.0005, "learning_rate": 7.016504991533727e-07, "epoch": 3.755627009646302, "percentage": 76.84, "elapsed_time": "0:32:02", "remaining_time": "0:09:39", "throughput": "482.98", "total_tokens": 928640}
|
| 147 |
-
{"current_steps": 147, "total_steps": 190, "loss": 0.0069, "learning_rate": 6.716157459520739e-07, "epoch": 3.7813504823151125, "percentage": 77.37, "elapsed_time": "0:32:15", "remaining_time": "0:09:26", "throughput": "483.23", "total_tokens": 935488}
|
| 148 |
-
{"current_steps": 148, "total_steps": 190, "loss": 0.015, "learning_rate": 6.421379363065142e-07, "epoch": 3.807073954983923, "percentage": 77.89, "elapsed_time": "0:32:29", "remaining_time": "0:09:13", "throughput": "483.29", "total_tokens": 941952}
|
| 149 |
-
{"current_steps": 149, "total_steps": 190, "loss": 0.0012, "learning_rate": 6.1322604944307e-07, "epoch": 3.832797427652733, "percentage": 78.42, "elapsed_time": "0:32:42", "remaining_time": "0:08:59", "throughput": "483.32", "total_tokens": 948368}
|
| 150 |
-
{"current_steps": 150, "total_steps": 190, "loss": 0.0095, "learning_rate": 5.848888922025553e-07, "epoch": 3.8585209003215435, "percentage": 78.95, "elapsed_time": "0:32:55", "remaining_time": "0:08:46", "throughput": "483.33", "total_tokens": 954752}
|
| 151 |
-
{"current_steps": 151, "total_steps": 190, "loss": 0.0271, "learning_rate": 5.571350963575728e-07, "epoch": 3.884244372990354, "percentage": 79.47, "elapsed_time": "0:33:08", "remaining_time": "0:08:33", "throughput": "483.39", "total_tokens": 961248}
|
| 152 |
-
{"current_steps": 152, "total_steps": 190, "loss": 0.0201, "learning_rate": 5.299731159831953e-07, "epoch": 3.909967845659164, "percentage": 80.0, "elapsed_time": "0:33:21", "remaining_time": "0:08:20", "throughput": "483.30", "total_tokens": 967424}
|
| 153 |
-
{"current_steps": 153, "total_steps": 190, "loss": 0.012, "learning_rate": 5.034112248817685e-07, "epoch": 3.935691318327974, "percentage": 80.53, "elapsed_time": "0:33:34", "remaining_time": "0:08:07", "throughput": "483.25", "total_tokens": 973696}
|
| 154 |
-
{"current_steps": 154, "total_steps": 190, "loss": 0.023, "learning_rate": 4.774575140626317e-07, "epoch": 3.9614147909967845, "percentage": 81.05, "elapsed_time": "0:33:48", "remaining_time": "0:07:54", "throughput": "483.29", "total_tokens": 980144}
|
| 155 |
-
{"current_steps": 155, "total_steps": 190, "loss": 0.0156, "learning_rate": 4.5211988927752026e-07, "epoch": 3.987138263665595, "percentage": 81.58, "elapsed_time": "0:34:01", "remaining_time": "0:07:40", "throughput": "483.22", "total_tokens": 986352}
|
| 156 |
-
{"current_steps": 156, "total_steps": 190, "loss": 0.0009, "learning_rate": 4.27406068612396e-07, "epoch": 4.012861736334405, "percentage": 82.11, "elapsed_time": "0:34:14", "remaining_time": "0:07:27", "throughput": "483.29", "total_tokens": 992880}
|
| 157 |
-
{"current_steps": 157, "total_steps": 190, "loss": 0.0017, "learning_rate": 4.033235801364402e-07, "epoch": 4.038585209003215, "percentage": 82.63, "elapsed_time": "0:34:27", "remaining_time": "0:07:14", "throughput": "483.27", "total_tokens": 999200}
|
| 158 |
-
{"current_steps": 158, "total_steps": 190, "loss": 0.0015, "learning_rate": 3.798797596089351e-07, "epoch": 4.064308681672026, "percentage": 83.16, "elapsed_time": "0:34:40", "remaining_time": "0:07:01", "throughput": "483.28", "total_tokens": 1005568}
|
| 159 |
-
{"current_steps": 159, "total_steps": 190, "loss": 0.0035, "learning_rate": 3.5708174824471947e-07, "epoch": 4.090032154340836, "percentage": 83.68, "elapsed_time": "0:34:53", "remaining_time": "0:06:48", "throughput": "483.18", "total_tokens": 1011728}
|
| 160 |
-
{"current_steps": 160, "total_steps": 190, "loss": 0.0016, "learning_rate": 3.3493649053890325e-07, "epoch": 4.115755627009646, "percentage": 84.21, "elapsed_time": "0:35:07", "remaining_time": "0:06:35", "throughput": "483.27", "total_tokens": 1018272}
|
| 161 |
-
{"current_steps": 161, "total_steps": 190, "loss": 0.0028, "learning_rate": 3.134507321515107e-07, "epoch": 4.141479099678457, "percentage": 84.74, "elapsed_time": "0:35:20", "remaining_time": "0:06:21", "throughput": "483.30", "total_tokens": 1024688}
|
| 162 |
-
{"current_steps": 162, "total_steps": 190, "loss": 0.0006, "learning_rate": 2.9263101785268253e-07, "epoch": 4.167202572347267, "percentage": 85.26, "elapsed_time": "0:35:33", "remaining_time": "0:06:08", "throughput": "483.34", "total_tokens": 1031152}
|
| 163 |
-
{"current_steps": 163, "total_steps": 190, "loss": 0.0013, "learning_rate": 2.7248368952908055e-07, "epoch": 4.192926045016077, "percentage": 85.79, "elapsed_time": "0:35:46", "remaining_time": "0:05:55", "throughput": "483.39", "total_tokens": 1037632}
|
| 164 |
-
{"current_steps": 164, "total_steps": 190, "loss": 0.0006, "learning_rate": 2.53014884252083e-07, "epoch": 4.218649517684887, "percentage": 86.32, "elapsed_time": "0:35:59", "remaining_time": "0:05:42", "throughput": "483.37", "total_tokens": 1043936}
|
| 165 |
-
{"current_steps": 165, "total_steps": 190, "loss": 0.0017, "learning_rate": 2.3423053240837518e-07, "epoch": 4.244372990353698, "percentage": 86.84, "elapsed_time": "0:36:12", "remaining_time": "0:05:29", "throughput": "483.25", "total_tokens": 1050048}
|
| 166 |
-
{"current_steps": 166, "total_steps": 190, "loss": 0.0004, "learning_rate": 2.1613635589349756e-07, "epoch": 4.270096463022508, "percentage": 87.37, "elapsed_time": "0:36:26", "remaining_time": "0:05:16", "throughput": "483.29", "total_tokens": 1056496}
|
| 167 |
-
{"current_steps": 167, "total_steps": 190, "loss": 0.0049, "learning_rate": 1.9873786636889908e-07, "epoch": 4.295819935691318, "percentage": 87.89, "elapsed_time": "0:36:39", "remaining_time": "0:05:02", "throughput": "483.28", "total_tokens": 1062848}
|
| 168 |
-
{"current_steps": 168, "total_steps": 190, "loss": 0.0071, "learning_rate": 1.8204036358303173e-07, "epoch": 4.321543408360129, "percentage": 88.42, "elapsed_time": "0:36:52", "remaining_time": "0:04:49", "throughput": "483.25", "total_tokens": 1069136}
|
| 169 |
-
{"current_steps": 169, "total_steps": 190, "loss": 0.0011, "learning_rate": 1.6604893375699594e-07, "epoch": 4.347266881028939, "percentage": 88.95, "elapsed_time": "0:37:05", "remaining_time": "0:04:36", "throughput": "483.17", "total_tokens": 1075328}
|
| 170 |
-
{"current_steps": 170, "total_steps": 190, "loss": 0.0004, "learning_rate": 1.507684480352292e-07, "epoch": 4.372990353697749, "percentage": 89.47, "elapsed_time": "0:37:18", "remaining_time": "0:04:23", "throughput": "483.17", "total_tokens": 1081696}
|
| 171 |
-
{"current_steps": 171, "total_steps": 190, "loss": 0.0007, "learning_rate": 1.362035610017079e-07, "epoch": 4.39871382636656, "percentage": 90.0, "elapsed_time": "0:37:31", "remaining_time": "0:04:10", "throughput": "483.20", "total_tokens": 1088112}
|
| 172 |
-
{"current_steps": 172, "total_steps": 190, "loss": 0.0017, "learning_rate": 1.223587092621162e-07, "epoch": 4.42443729903537, "percentage": 90.53, "elapsed_time": "0:37:45", "remaining_time": "0:03:57", "throughput": "483.21", "total_tokens": 1094512}
|
| 173 |
-
{"current_steps": 173, "total_steps": 190, "loss": 0.0007, "learning_rate": 1.0923811009241142e-07, "epoch": 4.45016077170418, "percentage": 91.05, "elapsed_time": "0:37:58", "remaining_time": "0:03:43", "throughput": "483.29", "total_tokens": 1101040}
|
| 174 |
-
{"current_steps": 174, "total_steps": 190, "loss": 0.0003, "learning_rate": 9.684576015420277e-08, "epoch": 4.47588424437299, "percentage": 91.58, "elapsed_time": "0:38:11", "remaining_time": "0:03:30", "throughput": "483.18", "total_tokens": 1107168}
|
| 175 |
-
{"current_steps": 175, "total_steps": 190, "loss": 0.0046, "learning_rate": 8.518543427732951e-08, "epoch": 4.501607717041801, "percentage": 92.11, "elapsed_time": "0:38:24", "remaining_time": "0:03:17", "throughput": "483.13", "total_tokens": 1113408}
|
| 176 |
-
{"current_steps": 176, "total_steps": 190, "loss": 0.0038, "learning_rate": 7.426068431000883e-08, "epoch": 4.527331189710611, "percentage": 92.63, "elapsed_time": "0:38:37", "remaining_time": "0:03:04", "throughput": "483.04", "total_tokens": 1119568}
|
| 177 |
-
{"current_steps": 177, "total_steps": 190, "loss": 0.0036, "learning_rate": 6.407483803691216e-08, "epoch": 4.553054662379421, "percentage": 93.16, "elapsed_time": "0:38:50", "remaining_time": "0:02:51", "throughput": "483.09", "total_tokens": 1126048}
|
| 178 |
-
{"current_steps": 178, "total_steps": 190, "loss": 0.0056, "learning_rate": 5.463099816548578e-08, "epoch": 4.578778135048232, "percentage": 93.68, "elapsed_time": "0:39:04", "remaining_time": "0:02:38", "throughput": "483.09", "total_tokens": 1132400}
|
| 179 |
-
{"current_steps": 179, "total_steps": 190, "loss": 0.0057, "learning_rate": 4.593204138084006e-08, "epoch": 4.604501607717042, "percentage": 94.21, "elapsed_time": "0:39:17", "remaining_time": "0:02:24", "throughput": "483.12", "total_tokens": 1138832}
|
| 180 |
-
{"current_steps": 180, "total_steps": 190, "loss": 0.002, "learning_rate": 3.798061746947995e-08, "epoch": 4.630225080385852, "percentage": 94.74, "elapsed_time": "0:39:30", "remaining_time": "0:02:11", "throughput": "483.19", "total_tokens": 1145344}
|
| 181 |
-
{"current_steps": 181, "total_steps": 190, "loss": 0.0003, "learning_rate": 3.077914851215585e-08, "epoch": 4.655948553054662, "percentage": 95.26, "elapsed_time": "0:39:43", "remaining_time": "0:01:58", "throughput": "483.12", "total_tokens": 1151536}
|
| 182 |
-
{"current_steps": 182, "total_steps": 190, "loss": 0.0002, "learning_rate": 2.4329828146074096e-08, "epoch": 4.681672025723473, "percentage": 95.79, "elapsed_time": "0:39:56", "remaining_time": "0:01:45", "throughput": "483.03", "total_tokens": 1157696}
|
| 183 |
-
{"current_steps": 183, "total_steps": 190, "loss": 0.0043, "learning_rate": 1.8634620896695044e-08, "epoch": 4.707395498392283, "percentage": 96.32, "elapsed_time": "0:40:09", "remaining_time": "0:01:32", "throughput": "482.89", "total_tokens": 1163712}
|
| 184 |
-
{"current_steps": 184, "total_steps": 190, "loss": 0.0002, "learning_rate": 1.3695261579316776e-08, "epoch": 4.733118971061093, "percentage": 96.84, "elapsed_time": "0:40:23", "remaining_time": "0:01:19", "throughput": "482.81", "total_tokens": 1169888}
|
| 185 |
-
{"current_steps": 185, "total_steps": 190, "loss": 0.0013, "learning_rate": 9.513254770636138e-09, "epoch": 4.758842443729904, "percentage": 97.37, "elapsed_time": "0:40:36", "remaining_time": "0:01:05", "throughput": "482.82", "total_tokens": 1176272}
|
| 186 |
-
{"current_steps": 186, "total_steps": 190, "loss": 0.0023, "learning_rate": 6.089874350439507e-09, "epoch": 4.784565916398714, "percentage": 97.89, "elapsed_time": "0:40:49", "remaining_time": "0:00:52", "throughput": "482.85", "total_tokens": 1182688}
|
| 187 |
-
{"current_steps": 187, "total_steps": 190, "loss": 0.0002, "learning_rate": 3.4261631135654174e-09, "epoch": 4.810289389067524, "percentage": 98.42, "elapsed_time": "0:41:02", "remaining_time": "0:00:39", "throughput": "482.98", "total_tokens": 1189360}
|
| 188 |
-
{"current_steps": 188, "total_steps": 190, "loss": 0.0015, "learning_rate": 1.5229324522605949e-09, "epoch": 4.836012861736334, "percentage": 98.95, "elapsed_time": "0:41:15", "remaining_time": "0:00:26", "throughput": "482.95", "total_tokens": 1195632}
|
| 189 |
-
{"current_steps": 189, "total_steps": 190, "loss": 0.0002, "learning_rate": 3.8076210902182607e-10, "epoch": 4.861736334405145, "percentage": 99.47, "elapsed_time": "0:41:28", "remaining_time": "0:00:13", "throughput": "482.96", "total_tokens": 1202016}
|
| 190 |
-
{"current_steps": 190, "total_steps": 190, "loss": 0.0028, "learning_rate": 0.0, "epoch": 4.887459807073955, "percentage": 100.0, "elapsed_time": "0:41:42", "remaining_time": "0:00:00", "throughput": "482.97", "total_tokens": 1208400}
|
| 191 |
-
{"current_steps": 190, "total_steps": 190, "epoch": 4.887459807073955, "percentage": 100.0, "elapsed_time": "0:42:42", "remaining_time": "0:00:00", "throughput": "471.54", "total_tokens": 1208400}
|
|
|
|
| 1 |
+
{"current_steps": 5, "total_steps": 78, "percentage": 6.41, "elapsed_time": "0:00:00", "remaining_time": "0:00:05"}
|
| 2 |
+
{"current_steps": 10, "total_steps": 78, "percentage": 12.82, "elapsed_time": "0:00:00", "remaining_time": "0:00:05"}
|
| 3 |
+
{"current_steps": 15, "total_steps": 78, "percentage": 19.23, "elapsed_time": "0:00:01", "remaining_time": "0:00:04"}
|
| 4 |
+
{"current_steps": 20, "total_steps": 78, "percentage": 25.64, "elapsed_time": "0:00:01", "remaining_time": "0:00:04"}
|
| 5 |
+
{"current_steps": 25, "total_steps": 78, "percentage": 32.05, "elapsed_time": "0:00:01", "remaining_time": "0:00:04"}
|
| 6 |
+
{"current_steps": 30, "total_steps": 78, "percentage": 38.46, "elapsed_time": "0:00:02", "remaining_time": "0:00:03"}
|
| 7 |
+
{"current_steps": 35, "total_steps": 78, "percentage": 44.87, "elapsed_time": "0:00:02", "remaining_time": "0:00:03"}
|
| 8 |
+
{"current_steps": 40, "total_steps": 78, "percentage": 51.28, "elapsed_time": "0:00:03", "remaining_time": "0:00:02"}
|
| 9 |
+
{"current_steps": 45, "total_steps": 78, "percentage": 57.69, "elapsed_time": "0:00:03", "remaining_time": "0:00:02"}
|
| 10 |
+
{"current_steps": 50, "total_steps": 78, "percentage": 64.1, "elapsed_time": "0:00:03", "remaining_time": "0:00:02"}
|
| 11 |
+
{"current_steps": 55, "total_steps": 78, "percentage": 70.51, "elapsed_time": "0:00:04", "remaining_time": "0:00:01"}
|
| 12 |
+
{"current_steps": 60, "total_steps": 78, "percentage": 76.92, "elapsed_time": "0:00:04", "remaining_time": "0:00:01"}
|
| 13 |
+
{"current_steps": 65, "total_steps": 78, "percentage": 83.33, "elapsed_time": "0:00:05", "remaining_time": "0:00:01"}
|
| 14 |
+
{"current_steps": 70, "total_steps": 78, "percentage": 89.74, "elapsed_time": "0:00:05", "remaining_time": "0:00:00"}
|
| 15 |
+
{"current_steps": 75, "total_steps": 78, "percentage": 96.15, "elapsed_time": "0:00:05", "remaining_time": "0:00:00"}
|
| 16 |
+
{"current_steps": 0, "total_steps": 78, "eval_loss": 12.676414489746094, "percentage": 0.0, "elapsed_time": "0:00:07", "remaining_time": "0:00:00", "throughput": "0.00", "total_tokens": 0}
|
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|
training_args.yaml
CHANGED
|
@@ -1,30 +1,18 @@
|
|
| 1 |
-
bf16: true
|
| 2 |
cutoff_len: 1024
|
| 3 |
-
dataset:
|
| 4 |
dataset_dir: data
|
| 5 |
-
|
| 6 |
-
deepspeed: cache/ds_z2_config.json
|
| 7 |
-
do_train: true
|
| 8 |
finetuning_type: full
|
| 9 |
flash_attn: auto
|
| 10 |
-
|
| 11 |
-
include_num_input_tokens_seen: true
|
| 12 |
-
learning_rate: 5.0e-06
|
| 13 |
-
logging_steps: 1
|
| 14 |
-
lr_scheduler_type: cosine
|
| 15 |
-
max_grad_norm: 1.0
|
| 16 |
max_samples: 100000
|
| 17 |
-
model_name_or_path:
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
packing: false
|
| 22 |
-
per_device_train_batch_size: 2
|
| 23 |
-
plot_loss: true
|
| 24 |
preprocessing_num_workers: 16
|
| 25 |
quantization_method: bitsandbytes
|
| 26 |
-
report_to: none
|
| 27 |
-
save_steps: 1000
|
| 28 |
stage: sft
|
|
|
|
| 29 |
template: llama3
|
| 30 |
-
|
|
|
|
|
|
|
| 1 |
cutoff_len: 1024
|
| 2 |
+
dataset: truth_dev_0716
|
| 3 |
dataset_dir: data
|
| 4 |
+
do_eval: true
|
|
|
|
|
|
|
| 5 |
finetuning_type: full
|
| 6 |
flash_attn: auto
|
| 7 |
+
max_new_tokens: 512
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
max_samples: 100000
|
| 9 |
+
model_name_or_path: saves/LLaMA3-8B-Chat/full/train_2024-07-16-09-46-28_llama3
|
| 10 |
+
output_dir: saves/LLaMA3-8B-Chat/full/eval_2024-07-16-09-46-28
|
| 11 |
+
per_device_eval_batch_size: 2
|
| 12 |
+
predict_with_generate: true
|
|
|
|
|
|
|
|
|
|
| 13 |
preprocessing_num_workers: 16
|
| 14 |
quantization_method: bitsandbytes
|
|
|
|
|
|
|
| 15 |
stage: sft
|
| 16 |
+
temperature: 0.95
|
| 17 |
template: llama3
|
| 18 |
+
top_p: 0.7
|