Chronos_Small_2003_Global / training_info.json
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{
"training_config": {
"training_data_paths": "['/scratch/q69394er/Chronos/code/train_chronos/data/time_series_2003.arrow']",
"probability": "[1.0]",
"context_length": 512,
"prediction_length": 64,
"min_past": 60,
"max_steps": 200000,
"save_steps": 25000,
"log_steps": 500,
"per_device_train_batch_size": 128,
"learning_rate": 0.001,
"optim": "adamw_torch_fused",
"shuffle_buffer_length": 100000,
"gradient_accumulation_steps": 1,
"model_id": "google/t5-efficient-small",
"model_type": "seq2seq",
"random_init": true,
"tie_embeddings": true,
"output_dir": "/scratch/q69394er/Chronos/code/train_chronos/output_new/Small/2003",
"tf32": true,
"torch_compile": true,
"tokenizer_class": "MeanScaleUniformBins",
"tokenizer_kwargs": "{'low_limit': -15.0, 'high_limit': 15.0}",
"n_tokens": 4096,
"n_special_tokens": 2,
"pad_token_id": 0,
"eos_token_id": 1,
"use_eos_token": true,
"lr_scheduler_type": "linear",
"warmup_ratio": 0.0,
"dataloader_num_workers": 24,
"max_missing_prop": 0.9,
"num_samples": 20,
"temperature": 1.0,
"top_k": 50,
"top_p": 1.0,
"seed": 1234,
"model_name": "Small_2003"
},
"job_info": {
"cuda_available": true,
"device_count": 2,
"device_names": {
"0": "NVIDIA A100-SXM4-80GB",
"1": "NVIDIA A100-SXM4-80GB"
},
"mem_info": {
"0": [
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],
"1": [
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]
},
"torchelastic_launched": true,
"world_size": 2,
"python_version": "3.11.5 (main, Sep 11 2023, 13:54:46) [GCC 11.2.0]",
"torch_version": "2.2.0+cu121",
"numpy_version": "1.24.3",
"gluonts_version": "0.16.0",
"transformers_version": "4.41.0.dev0",
"accelerate_version": "0.34.2"
}
}