Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- added_tokens.json +3 -0
- checkpoint-154/README.md +34 -0
- checkpoint-154/adapter_config.json +21 -0
- checkpoint-154/adapter_model.bin +3 -0
- checkpoint-154/added_tokens.json +3 -0
- checkpoint-154/optimizer.pt +3 -0
- checkpoint-154/rng_state.pth +3 -0
- checkpoint-154/scheduler.pt +3 -0
- checkpoint-154/special_tokens_map.json +24 -0
- checkpoint-154/tokenizer.json +0 -0
- checkpoint-154/tokenizer.model +3 -0
- checkpoint-154/tokenizer_config.json +46 -0
- checkpoint-154/trainer_state.json +325 -0
- checkpoint-154/training_args.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +46 -0
- training_args.bin +3 -0
- training_params.json +1 -0
README.md
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---
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tags:
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- autotrain
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- text-generation
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widget:
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- text: "I love AutoTrain because "
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---
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# Model Trained Using AutoTrain
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "NousResearch/Llama-2-7b-chat-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7483e58db8af7bb663654210667b7259138e42e051f5406dd8c805bb37009e2a
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size 33600906
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added_tokens.json
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{
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"<pad>": 32000
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}
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checkpoint-154/README.md
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.5.0
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- PEFT 0.5.0
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checkpoint-154/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "NousResearch/Llama-2-7b-chat-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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checkpoint-154/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7483e58db8af7bb663654210667b7259138e42e051f5406dd8c805bb37009e2a
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size 33600906
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checkpoint-154/added_tokens.json
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{
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"<pad>": 32000
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}
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checkpoint-154/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:de7d600a393d3acbb9950f378acc42217e40f76bc931d7fc311f852315e0e210
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size 67217018
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checkpoint-154/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a608af5361bff2a5ea1a14ca6072fe24e075f2159d7cf041bc0b55f90e4d3aa
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size 14244
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checkpoint-154/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:55ae6965a168548c41246e994292a3d67c149e919e27e49dbe577e53643d8513
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size 1064
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checkpoint-154/special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<unk>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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checkpoint-154/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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checkpoint-154/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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checkpoint-154/tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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},
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"32000": {
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"single_word": false,
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"special": false
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}
|
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 2048,
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"pad_token": "<unk>",
|
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"sp_model_kwargs": {},
|
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"tokenizer_class": "LlamaTokenizer",
|
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"unk_token": "<unk>",
|
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"use_default_system_prompt": true
|
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}
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checkpoint-154/trainer_state.json
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{
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"loss": 1.7268,
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"step": 3
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},
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{
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"epoch": 0.33,
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"learning_rate": 3e-05,
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"loss": 1.959,
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"step": 6
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},
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{
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"epoch": 1.11,
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"learning_rate": 4.5e-05,
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"loss": 1.8528,
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"step": 9
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},
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{
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"epoch": 1.28,
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"learning_rate": 6e-05,
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"loss": 1.5683,
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"step": 12
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},
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{
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"epoch": 2.06,
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