Delete training_info.json with huggingface_hub
Browse files- training_info.json +0 -67
training_info.json
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{
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"training_config": {
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"training_data_paths": "['/scratch/q69394er/Chronos/code/train_chronos/data_round2/time_series_2007.arrow']",
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"probability": "[1.0]",
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"context_length": 512,
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"prediction_length": 64,
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"min_past": 60,
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"max_steps": 200000,
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"save_steps": 25000,
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"log_steps": 500,
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"per_device_train_batch_size": 128,
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"learning_rate": 0.001,
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"optim": "adamw_torch_fused",
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"shuffle_buffer_length": 100000,
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"gradient_accumulation_steps": 1,
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"model_id": "google/t5-efficient-small",
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"model_type": "seq2seq",
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"random_init": true,
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"tie_embeddings": true,
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"output_dir": "/scratch/q69394er/Chronos/code/train_chronos/output_round2/Small/2007",
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"tf32": true,
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"torch_compile": true,
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"tokenizer_class": "MeanScaleUniformBins",
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"tokenizer_kwargs": "{'low_limit': -15.0, 'high_limit': 15.0}",
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"n_tokens": 4096,
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"n_special_tokens": 2,
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"pad_token_id": 0,
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"eos_token_id": 1,
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"use_eos_token": true,
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"lr_scheduler_type": "linear",
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"warmup_ratio": 0.0,
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"dataloader_num_workers": 24,
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"max_missing_prop": 0.9,
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"num_samples": 20,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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"seed": 1234,
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"model_name": "Small_R2_2007"
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},
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"job_info": {
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"cuda_available": true,
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"device_count": 2,
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"device_names": {
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"0": "NVIDIA A100-SXM4-80GB",
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"1": "NVIDIA A100-SXM4-80GB"
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},
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"mem_info": {
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"0": [
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],
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"1": [
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84428718080,
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84974239744
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]
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},
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"torchelastic_launched": true,
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"world_size": 2,
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"python_version": "3.11.5 (main, Sep 11 2023, 13:54:46) [GCC 11.2.0]",
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"torch_version": "2.2.0+cu121",
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"numpy_version": "1.24.3",
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"gluonts_version": "0.16.0",
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"transformers_version": "4.41.0.dev0",
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"accelerate_version": "0.34.2"
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}
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}
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