Instructions to use juliushanusch/ChronosBERT-Default with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juliushanusch/ChronosBERT-Default with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="juliushanusch/ChronosBERT-Default")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("juliushanusch/ChronosBERT-Default") model = AutoModelForMaskedLM.from_pretrained("juliushanusch/ChronosBERT-Default", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- config.json +4 -4
- model.safetensors +2 -2
- training_info.json +103 -0
config.json
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{
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"_name_or_path": "/
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"architectures": [
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"BertForMaskedLM"
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],
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"mask_token_id": 3,
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"model_type": "mlm",
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"n_special_tokens": 4,
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-
"n_tokens":
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"num_samples": 20,
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"pad_token_id": 0,
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"prediction_length": 64,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 512,
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"initializer_range": 0.
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"intermediate_size": 2048,
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"layer_norm_eps": 1e-12,
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"mask_token_id": 3,
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"transformers_version": "4.49.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size":
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}
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{
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"_name_or_path": "prajjwal1/bert-small",
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"architectures": [
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"BertForMaskedLM"
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],
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"mask_token_id": 3,
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"model_type": "mlm",
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"n_special_tokens": 4,
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"n_tokens": 4096,
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"num_samples": 20,
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"pad_token_id": 0,
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"prediction_length": 64,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 512,
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+
"initializer_range": 0.05,
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"intermediate_size": 2048,
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"layer_norm_eps": 1e-12,
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"mask_token_id": 3,
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"transformers_version": "4.49.0",
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"type_vocab_size": 2,
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"use_cache": true,
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+
"vocab_size": 4096
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b685680765ddb7be1cee6248ea370b0f438eb00781f3bdd6bf3d39f84c3593f
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size 69351808
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training_info.json
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{
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"training_config": {
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"training_data_paths": "['/data/horse/ws/juha972b-BERT/Data/training_mix.arrow', '/data/horse/ws/juha972b-BERT/Data/kernelsynth.arrow']",
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"probability": "[0.9, 0.1]",
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"drop_prob": 0.2,
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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": 10000,
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"log_steps": 500,
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"per_device_train_batch_size": 32,
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"learning_rate": 0.0001,
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"optim": "adamw_torch_fused",
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"shuffle_buffer_length": 10000,
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"gradient_accumulation_steps": 1,
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"model_id": "prajjwal1/bert-small",
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"model_type": "mlm",
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"random_init": true,
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"tie_embeddings": false,
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"output_dir": "/data/horse/ws/juha972b-AION-BERT-Chronos/BERTi/BertModel/BertSmall",
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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": 4,
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"pad_token_id": 0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"mask_token_id": 3,
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"use_eos_token": true,
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"lr_scheduler_type": "linear",
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"warmup_ratio": 0.01,
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"dataloader_num_workers": 1,
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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": 270923275,
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+
"fp16": false,
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"bolt": false,
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"patch_size": 16,
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"patch_stride": 16,
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"use_reg_token": true,
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"limit_model_size": true,
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"is_gated_act": "False",
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"config_overrides": "None",
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"hidden_size": 768,
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"num_hidden_layers": 12,
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"num_attention_heads": 12,
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"intermediate_size": 3072,
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"hidden_act": "gelu",
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+
"hidden_dropout_prob": 0.1,
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+
"attention_probs_dropout_prob": 0.1,
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+
"layer_norm_eps": 1e-12,
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+
"span_masking": false,
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+
"mean_span_length": 3,
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+
"masking_prob": 0.15,
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+
"individual_dropout": 0.05,
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+
"unchanged_patch_prob": 0.05,
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+
"patch_perturbation_prob": 0.1,
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"patch_masking_prob": 0.8,
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+
"patch_perturbation_scale_strength": 0.1,
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+
"patch_perturbation_noise_strength": 0.1,
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+
"debug_patching": false,
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"debug_batch_idx": 0,
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"debug_max_patches": 3,
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"task": "mlm",
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"num_labels": 6,
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"loss_type": "mae",
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"TrainInnerModel": true,
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"dropout_head": 0.1,
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"adam_beta1": 0.9,
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"adam_beta2": 0.98,
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"adam_epsilon": 1e-06,
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+
"weight_decay": 0.01,
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+
"max_grad_norm": 0.0,
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+
"warmup_steps": 0,
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+
"num_train_epochs": 1
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},
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"job_info": {
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+
"cuda_available": true,
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"device_count": 1,
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"device_names": {
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"0": "NVIDIA H100"
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},
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"mem_info": {
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"0": [
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+
95520423936,
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+
99949674496
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+
]
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},
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"torchelastic_launched": false,
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"python_version": "3.12.3 (main, Dec 3 2025, 08:59:03) [GCC 13.3.0]",
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"torch_version": "2.6.0+cu126",
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"numpy_version": "1.26.4",
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"gluonts_version": "0.16.2",
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"transformers_version": "4.49.0",
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"accelerate_version": "0.34.2"
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}
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}
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