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Browse files- 11734224ce1aec974f4361563f5b3b11a5b80e4c658e306cd85c8a57afa26451 (80096a00ef693bd1819d16c0d9709a6bf0e890ee)
- 1abf72c3398ae3bdbfe3876ef71c86a266c4229966d8170b459d605a20d52a6e (ddd34ada6e55398e11b7eaee72c4522adcbea432)
- README.md +5 -1
- added_tokens.json +6 -33
- config.json +1 -1
- model.safetensors +1 -1
- sample_finetune.py +118 -29
- special_tokens_map.json +0 -3
- tokenizer.json +18 -261
- tokenizer_config.json +19 -238
README.md
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- mlx
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license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE
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pipeline_tag: text-generation
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---
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# mlx-community/Phi-3-mini-4k-instruct-4bit-no-q-embed
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-
This model was converted to MLX format from [`microsoft/Phi-3-mini-4k-instruct`]() using mlx-lm version **0.
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Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) for more details on the model.
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## Use with mlx
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- mlx
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license_link: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE
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pipeline_tag: text-generation
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widget:
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- messages:
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- role: user
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content: Can you provide ways to eat combinations of bananas and dragonfruits?
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---
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# mlx-community/Phi-3-mini-4k-instruct-4bit-no-q-embed
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+
This model was converted to MLX format from [`microsoft/Phi-3-mini-4k-instruct`]() using mlx-lm version **0.12.0**.
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Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) for more details on the model.
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## Use with mlx
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added_tokens.json
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{
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"<|assistant_mask|>": 32017,
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"<|assistant|>": 32001,
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"<|endoftext|>": 32000,
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"<|summary|>": 32015,
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"<|system|>": 32006,
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"<|user|>": 32010
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"<|assistant|>": 32001,
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"<|endoftext|>": 32000,
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"<|system|>": 32006,
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"<|user|>": 32010
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}
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config.json
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"sliding_window":
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.3",
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"sliding_window": 2047,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.3",
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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 2291290600
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version https://git-lfs.github.com/spec/v1
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oid sha256:5a877c43b4aa0ea54f197c9393484d950e30af4b88da49cba78fa9ba93aeccaa
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size 2291290600
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sample_finetune.py
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import
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from datasets import load_dataset
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from trl import SFTTrainer
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from transformers import AutoModelForCausalLM, AutoTokenizer, TrainingArguments
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"""
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A simple example on using SFTTrainer and Accelerate to finetune Phi-3 models. For
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a more advanced example, please follow HF alignment-handbook/scripts/run_sft.py
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-
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conda install -c conda-forge accelerate
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-
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accelerate config
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-
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accelerate env
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-
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accelerate launch sample_finetune.py
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"""
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###################
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# Hyper-parameters
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###################
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-
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"bf16": True,
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"do_eval": False,
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"learning_rate": 5.0e-06,
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"output_dir": "./checkpoint_dir",
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"overwrite_output_dir": True,
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"per_device_eval_batch_size": 4,
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-
"per_device_train_batch_size":
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"remove_unused_columns": True,
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"save_steps": 100,
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"save_total_limit": 1,
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@@ -45,8 +85,43 @@ args = {
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"gradient_accumulation_steps": 1,
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"warmup_ratio": 0.2,
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}
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-
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-
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################
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# Modle Loading
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trust_remote_code=True,
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attn_implementation="flash_attention_2", # loading the model with flash-attenstion support
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torch_dtype=torch.bfloat16,
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-
device_map=
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)
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model = AutoModelForCausalLM.from_pretrained(checkpoint_path, **model_kwargs)
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tokenizer = AutoTokenizer.from_pretrained(checkpoint_path)
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tokenizer.pad_token = tokenizer.unk_token # use unk rather than eos token to prevent endless generation
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tokenizer.pad_token_id = tokenizer.convert_tokens_to_ids(tokenizer.pad_token)
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tokenizer.padding_side = 'right'
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##################
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# Data Processing
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##################
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return example
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raw_dataset = load_dataset("HuggingFaceH4/ultrachat_200k")
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-
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-
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apply_chat_template,
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fn_kwargs={"tokenizer": tokenizer},
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-
num_proc=
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remove_columns=column_names,
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desc="Applying chat template",
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)
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-
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-
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###########
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# Training
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###########
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trainer = SFTTrainer(
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model=model,
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-
args=
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-
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-
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max_seq_length=2048,
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dataset_text_field="text",
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tokenizer=tokenizer,
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trainer.save_metrics("train", metrics)
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trainer.save_state()
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#############
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# Evaluation
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#############
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tokenizer.padding_side = 'left'
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metrics = trainer.evaluate()
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-
metrics["eval_samples"] = len(
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trainer.log_metrics("eval", metrics)
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trainer.save_metrics("eval", metrics)
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-
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-
#
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-
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-
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import sys
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import logging
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import datasets
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from datasets import load_dataset
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from peft import LoraConfig
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import torch
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import transformers
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from trl import SFTTrainer
|
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from transformers import AutoModelForCausalLM, AutoTokenizer, TrainingArguments, BitsAndBytesConfig
|
| 11 |
|
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"""
|
| 13 |
A simple example on using SFTTrainer and Accelerate to finetune Phi-3 models. For
|
| 14 |
+
a more advanced example, please follow HF alignment-handbook/scripts/run_sft.py.
|
| 15 |
+
This example has utilized DeepSpeed ZeRO3 offload to reduce the memory usage. The
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| 16 |
+
script can be run on V100 or later generation GPUs. Here are some suggestions on
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+
futher reducing memory consumption:
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+
- reduce batch size
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+
- decrease lora dimension
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- restrict lora target modules
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+
Please follow these steps to run the script:
|
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+
1. Install dependencies:
|
| 23 |
conda install -c conda-forge accelerate
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+
pip3 install -i https://pypi.org/simple/ bitsandbytes
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pip3 install peft transformers trl datasets
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pip3 install deepspeed
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+
2. Setup accelerate and deepspeed config based on the machine used:
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accelerate config
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+
Here is a sample config for deepspeed zero3:
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+
compute_environment: LOCAL_MACHINE
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debug: false
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deepspeed_config:
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gradient_accumulation_steps: 1
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offload_optimizer_device: none
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offload_param_device: none
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zero3_init_flag: true
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zero3_save_16bit_model: true
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zero_stage: 3
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distributed_type: DEEPSPEED
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downcast_bf16: 'no'
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enable_cpu_affinity: false
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machine_rank: 0
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main_training_function: main
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mixed_precision: bf16
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num_machines: 1
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num_processes: 4
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rdzv_backend: static
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same_network: true
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tpu_env: []
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tpu_use_cluster: false
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+
tpu_use_sudo: false
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+
use_cpu: false
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+
3. check accelerate config:
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| 54 |
accelerate env
|
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+
4. Run the code:
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| 56 |
accelerate launch sample_finetune.py
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| 57 |
"""
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+
logger = logging.getLogger(__name__)
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| 60 |
+
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| 61 |
+
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###################
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| 63 |
# Hyper-parameters
|
| 64 |
###################
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+
training_config = {
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| 66 |
"bf16": True,
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"do_eval": False,
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"learning_rate": 5.0e-06,
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"output_dir": "./checkpoint_dir",
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"overwrite_output_dir": True,
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"per_device_eval_batch_size": 4,
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+
"per_device_train_batch_size": 4,
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"remove_unused_columns": True,
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"save_steps": 100,
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"save_total_limit": 1,
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"gradient_accumulation_steps": 1,
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"warmup_ratio": 0.2,
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}
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+
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+
peft_config = {
|
| 90 |
+
"r": 16,
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"lora_alpha": 32,
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| 92 |
+
"lora_dropout": 0.05,
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+
"bias": "none",
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"task_type": "CAUSAL_LM",
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"target_modules": "all-linear",
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"modules_to_save": None,
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+
}
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train_conf = TrainingArguments(**training_config)
|
| 99 |
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peft_conf = LoraConfig(**peft_config)
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| 100 |
+
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###############
|
| 103 |
+
# Setup logging
|
| 104 |
+
###############
|
| 105 |
+
logging.basicConfig(
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| 106 |
+
format="%(asctime)s - %(levelname)s - %(name)s - %(message)s",
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datefmt="%Y-%m-%d %H:%M:%S",
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handlers=[logging.StreamHandler(sys.stdout)],
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)
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log_level = train_conf.get_process_log_level()
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| 111 |
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logger.setLevel(log_level)
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datasets.utils.logging.set_verbosity(log_level)
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transformers.utils.logging.set_verbosity(log_level)
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transformers.utils.logging.enable_default_handler()
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transformers.utils.logging.enable_explicit_format()
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# Log on each process a small summary
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logger.warning(
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f"Process rank: {train_conf.local_rank}, device: {train_conf.device}, n_gpu: {train_conf.n_gpu}"
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+
+ f" distributed training: {bool(train_conf.local_rank != -1)}, 16-bits training: {train_conf.fp16}"
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+
)
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logger.info(f"Training/evaluation parameters {train_conf}")
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logger.info(f"PEFT parameters {peft_conf}")
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+
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################
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| 127 |
# Modle Loading
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trust_remote_code=True,
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attn_implementation="flash_attention_2", # loading the model with flash-attenstion support
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torch_dtype=torch.bfloat16,
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device_map=None
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)
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model = AutoModelForCausalLM.from_pretrained(checkpoint_path, **model_kwargs)
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tokenizer = AutoTokenizer.from_pretrained(checkpoint_path)
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+
tokenizer.model_max_length = 2048
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| 141 |
tokenizer.pad_token = tokenizer.unk_token # use unk rather than eos token to prevent endless generation
|
| 142 |
tokenizer.pad_token_id = tokenizer.convert_tokens_to_ids(tokenizer.pad_token)
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| 143 |
tokenizer.padding_side = 'right'
|
| 144 |
|
| 145 |
+
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| 146 |
##################
|
| 147 |
# Data Processing
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| 148 |
##################
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return example
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|
| 161 |
raw_dataset = load_dataset("HuggingFaceH4/ultrachat_200k")
|
| 162 |
+
train_dataset = raw_dataset["train_sft"]
|
| 163 |
+
test_dataset = raw_dataset["test_sft"]
|
| 164 |
+
column_names = list(train_dataset.features)
|
| 165 |
|
| 166 |
+
processed_train_dataset = train_dataset.map(
|
| 167 |
apply_chat_template,
|
| 168 |
fn_kwargs={"tokenizer": tokenizer},
|
| 169 |
+
num_proc=10,
|
| 170 |
remove_columns=column_names,
|
| 171 |
+
desc="Applying chat template to train_sft",
|
| 172 |
)
|
| 173 |
+
|
| 174 |
+
processed_test_dataset = test_dataset.map(
|
| 175 |
+
apply_chat_template,
|
| 176 |
+
fn_kwargs={"tokenizer": tokenizer},
|
| 177 |
+
num_proc=10,
|
| 178 |
+
remove_columns=column_names,
|
| 179 |
+
desc="Applying chat template to test_sft",
|
| 180 |
+
)
|
| 181 |
+
|
| 182 |
|
| 183 |
###########
|
| 184 |
# Training
|
| 185 |
###########
|
| 186 |
trainer = SFTTrainer(
|
| 187 |
model=model,
|
| 188 |
+
args=train_conf,
|
| 189 |
+
peft_config=peft_conf,
|
| 190 |
+
train_dataset=processed_train_dataset,
|
| 191 |
+
eval_dataset=processed_test_dataset,
|
| 192 |
max_seq_length=2048,
|
| 193 |
dataset_text_field="text",
|
| 194 |
tokenizer=tokenizer,
|
|
|
|
| 200 |
trainer.save_metrics("train", metrics)
|
| 201 |
trainer.save_state()
|
| 202 |
|
| 203 |
+
|
| 204 |
#############
|
| 205 |
# Evaluation
|
| 206 |
#############
|
| 207 |
tokenizer.padding_side = 'left'
|
| 208 |
metrics = trainer.evaluate()
|
| 209 |
+
metrics["eval_samples"] = len(processed_test_dataset)
|
| 210 |
trainer.log_metrics("eval", metrics)
|
| 211 |
trainer.save_metrics("eval", metrics)
|
| 212 |
|
| 213 |
+
|
| 214 |
+
# ############
|
| 215 |
+
# # Save model
|
| 216 |
+
# ############
|
| 217 |
+
trainer.save_model(train_conf.output_dir)
|
special_tokens_map.json
CHANGED
|
@@ -1,7 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"additional_special_tokens": [
|
| 3 |
-
"<|/inst|>"
|
| 4 |
-
],
|
| 5 |
"bos_token": {
|
| 6 |
"content": "<s>",
|
| 7 |
"lstrip": false,
|
|
|
|
| 1 |
{
|
|
|
|
|
|
|
|
|
|
| 2 |
"bos_token": {
|
| 3 |
"content": "<s>",
|
| 4 |
"lstrip": false,
|
tokenizer.json
CHANGED
|
@@ -26,9 +26,9 @@
|
|
| 26 |
"content": "</s>",
|
| 27 |
"single_word": false,
|
| 28 |
"lstrip": false,
|
| 29 |
-
"rstrip":
|
| 30 |
"normalized": false,
|
| 31 |
-
"special":
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"id": 32000,
|
|
@@ -44,43 +44,43 @@
|
|
| 44 |
"content": "<|assistant|>",
|
| 45 |
"single_word": false,
|
| 46 |
"lstrip": false,
|
| 47 |
-
"rstrip":
|
| 48 |
"normalized": false,
|
| 49 |
"special": true
|
| 50 |
},
|
| 51 |
{
|
| 52 |
"id": 32002,
|
| 53 |
-
"content": "<|
|
| 54 |
"single_word": false,
|
| 55 |
"lstrip": false,
|
| 56 |
-
"rstrip":
|
| 57 |
"normalized": false,
|
| 58 |
"special": true
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"id": 32003,
|
| 62 |
-
"content": "<|
|
| 63 |
"single_word": false,
|
| 64 |
"lstrip": false,
|
| 65 |
-
"rstrip":
|
| 66 |
"normalized": false,
|
| 67 |
"special": true
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"id": 32004,
|
| 71 |
-
"content": "<|
|
| 72 |
"single_word": false,
|
| 73 |
"lstrip": false,
|
| 74 |
-
"rstrip":
|
| 75 |
"normalized": false,
|
| 76 |
"special": true
|
| 77 |
},
|
| 78 |
{
|
| 79 |
"id": 32005,
|
| 80 |
-
"content": "<|
|
| 81 |
"single_word": false,
|
| 82 |
"lstrip": false,
|
| 83 |
-
"rstrip":
|
| 84 |
"normalized": false,
|
| 85 |
"special": true
|
| 86 |
},
|
|
@@ -89,7 +89,7 @@
|
|
| 89 |
"content": "<|system|>",
|
| 90 |
"single_word": false,
|
| 91 |
"lstrip": false,
|
| 92 |
-
"rstrip":
|
| 93 |
"normalized": false,
|
| 94 |
"special": true
|
| 95 |
},
|
|
@@ -98,25 +98,25 @@
|
|
| 98 |
"content": "<|end|>",
|
| 99 |
"single_word": false,
|
| 100 |
"lstrip": false,
|
| 101 |
-
"rstrip":
|
| 102 |
"normalized": false,
|
| 103 |
"special": true
|
| 104 |
},
|
| 105 |
{
|
| 106 |
"id": 32008,
|
| 107 |
-
"content": "<|
|
| 108 |
"single_word": false,
|
| 109 |
"lstrip": false,
|
| 110 |
-
"rstrip":
|
| 111 |
"normalized": false,
|
| 112 |
"special": true
|
| 113 |
},
|
| 114 |
{
|
| 115 |
"id": 32009,
|
| 116 |
-
"content": "<|
|
| 117 |
"single_word": false,
|
| 118 |
"lstrip": false,
|
| 119 |
-
"rstrip":
|
| 120 |
"normalized": false,
|
| 121 |
"special": true
|
| 122 |
},
|
|
@@ -125,250 +125,7 @@
|
|
| 125 |
"content": "<|user|>",
|
| 126 |
"single_word": false,
|
| 127 |
"lstrip": false,
|
| 128 |
-
"rstrip":
|
| 129 |
-
"normalized": false,
|
| 130 |
-
"special": true
|
| 131 |
-
},
|
| 132 |
-
{
|
| 133 |
-
"id": 32011,
|
| 134 |
-
"content": "<|function_list|>",
|
| 135 |
-
"single_word": false,
|
| 136 |
-
"lstrip": false,
|
| 137 |
-
"rstrip": true,
|
| 138 |
-
"normalized": false,
|
| 139 |
-
"special": true
|
| 140 |
-
},
|
| 141 |
-
{
|
| 142 |
-
"id": 32012,
|
| 143 |
-
"content": "<|calc|>",
|
| 144 |
-
"single_word": false,
|
| 145 |
-
"lstrip": false,
|
| 146 |
-
"rstrip": true,
|
| 147 |
-
"normalized": false,
|
| 148 |
-
"special": true
|
| 149 |
-
},
|
| 150 |
-
{
|
| 151 |
-
"id": 32013,
|
| 152 |
-
"content": "<|code|>",
|
| 153 |
-
"single_word": false,
|
| 154 |
-
"lstrip": false,
|
| 155 |
-
"rstrip": true,
|
| 156 |
-
"normalized": false,
|
| 157 |
-
"special": true
|
| 158 |
-
},
|
| 159 |
-
{
|
| 160 |
-
"id": 32014,
|
| 161 |
-
"content": "<|/code|>",
|
| 162 |
-
"single_word": false,
|
| 163 |
-
"lstrip": false,
|
| 164 |
-
"rstrip": true,
|
| 165 |
-
"normalized": false,
|
| 166 |
-
"special": true
|
| 167 |
-
},
|
| 168 |
-
{
|
| 169 |
-
"id": 32015,
|
| 170 |
-
"content": "<|summary|>",
|
| 171 |
-
"single_word": false,
|
| 172 |
-
"lstrip": false,
|
| 173 |
-
"rstrip": true,
|
| 174 |
-
"normalized": false,
|
| 175 |
-
"special": true
|
| 176 |
-
},
|
| 177 |
-
{
|
| 178 |
-
"id": 32016,
|
| 179 |
-
"content": "<|resource|>",
|
| 180 |
-
"single_word": false,
|
| 181 |
-
"lstrip": false,
|
| 182 |
-
"rstrip": true,
|
| 183 |
-
"normalized": false,
|
| 184 |
-
"special": true
|
| 185 |
-
},
|
| 186 |
-
{
|
| 187 |
-
"id": 32017,
|
| 188 |
-
"content": "<|assistant_mask|>",
|
| 189 |
-
"single_word": false,
|
| 190 |
-
"lstrip": false,
|
| 191 |
-
"rstrip": true,
|
| 192 |
-
"normalized": false,
|
| 193 |
-
"special": true
|
| 194 |
-
},
|
| 195 |
-
{
|
| 196 |
-
"id": 32018,
|
| 197 |
-
"content": "<|start|>",
|
| 198 |
-
"single_word": false,
|
| 199 |
-
"lstrip": false,
|
| 200 |
-
"rstrip": true,
|
| 201 |
-
"normalized": false,
|
| 202 |
-
"special": true
|
| 203 |
-
},
|
| 204 |
-
{
|
| 205 |
-
"id": 32019,
|
| 206 |
-
"content": "<|message|>",
|
| 207 |
-
"single_word": false,
|
| 208 |
-
"lstrip": false,
|
| 209 |
-
"rstrip": true,
|
| 210 |
-
"normalized": false,
|
| 211 |
-
"special": true
|
| 212 |
-
},
|
| 213 |
-
{
|
| 214 |
-
"id": 32020,
|
| 215 |
-
"content": "<|fim_prefix|>",
|
| 216 |
-
"single_word": false,
|
| 217 |
-
"lstrip": false,
|
| 218 |
-
"rstrip": true,
|
| 219 |
-
"normalized": false,
|
| 220 |
-
"special": true
|
| 221 |
-
},
|
| 222 |
-
{
|
| 223 |
-
"id": 32021,
|
| 224 |
-
"content": "<|fim_middle|>",
|
| 225 |
-
"single_word": false,
|
| 226 |
-
"lstrip": false,
|
| 227 |
-
"rstrip": true,
|
| 228 |
-
"normalized": false,
|
| 229 |
-
"special": true
|
| 230 |
-
},
|
| 231 |
-
{
|
| 232 |
-
"id": 32022,
|
| 233 |
-
"content": "<|fim_suffix|>",
|
| 234 |
-
"single_word": false,
|
| 235 |
-
"lstrip": false,
|
| 236 |
-
"rstrip": true,
|
| 237 |
-
"normalized": false,
|
| 238 |
-
"special": true
|
| 239 |
-
},
|
| 240 |
-
{
|
| 241 |
-
"id": 32023,
|
| 242 |
-
"content": "<|meta_start|>",
|
| 243 |
-
"single_word": false,
|
| 244 |
-
"lstrip": false,
|
| 245 |
-
"rstrip": true,
|
| 246 |
-
"normalized": false,
|
| 247 |
-
"special": true
|
| 248 |
-
},
|
| 249 |
-
{
|
| 250 |
-
"id": 32024,
|
| 251 |
-
"content": "<|ipynb_marker|>",
|
| 252 |
-
"single_word": false,
|
| 253 |
-
"lstrip": false,
|
| 254 |
-
"rstrip": true,
|
| 255 |
-
"normalized": false,
|
| 256 |
-
"special": true
|
| 257 |
-
},
|
| 258 |
-
{
|
| 259 |
-
"id": 32025,
|
| 260 |
-
"content": "<|diff_marker|>",
|
| 261 |
-
"single_word": false,
|
| 262 |
-
"lstrip": false,
|
| 263 |
-
"rstrip": true,
|
| 264 |
-
"normalized": false,
|
| 265 |
-
"special": true
|
| 266 |
-
},
|
| 267 |
-
{
|
| 268 |
-
"id": 32026,
|
| 269 |
-
"content": "<|ghissue|>",
|
| 270 |
-
"single_word": false,
|
| 271 |
-
"lstrip": false,
|
| 272 |
-
"rstrip": true,
|
| 273 |
-
"normalized": false,
|
| 274 |
-
"special": true
|
| 275 |
-
},
|
| 276 |
-
{
|
| 277 |
-
"id": 32027,
|
| 278 |
-
"content": "<|ghreview|>",
|
| 279 |
-
"single_word": false,
|
| 280 |
-
"lstrip": false,
|
| 281 |
-
"rstrip": true,
|
| 282 |
-
"normalized": false,
|
| 283 |
-
"special": true
|
| 284 |
-
},
|
| 285 |
-
{
|
| 286 |
-
"id": 32028,
|
| 287 |
-
"content": "<|disc_start|>",
|
| 288 |
-
"single_word": false,
|
| 289 |
-
"lstrip": false,
|
| 290 |
-
"rstrip": true,
|
| 291 |
-
"normalized": false,
|
| 292 |
-
"special": true
|
| 293 |
-
},
|
| 294 |
-
{
|
| 295 |
-
"id": 32029,
|
| 296 |
-
"content": "<|disc_sep|>",
|
| 297 |
-
"single_word": false,
|
| 298 |
-
"lstrip": false,
|
| 299 |
-
"rstrip": true,
|
| 300 |
-
"normalized": false,
|
| 301 |
-
"special": true
|
| 302 |
-
},
|
| 303 |
-
{
|
| 304 |
-
"id": 32030,
|
| 305 |
-
"content": "<|disc_thread|><|query|>",
|
| 306 |
-
"single_word": false,
|
| 307 |
-
"lstrip": false,
|
| 308 |
-
"rstrip": true,
|
| 309 |
-
"normalized": false,
|
| 310 |
-
"special": true
|
| 311 |
-
},
|
| 312 |
-
{
|
| 313 |
-
"id": 32031,
|
| 314 |
-
"content": "<|/query|>",
|
| 315 |
-
"single_word": false,
|
| 316 |
-
"lstrip": false,
|
| 317 |
-
"rstrip": true,
|
| 318 |
-
"normalized": false,
|
| 319 |
-
"special": true
|
| 320 |
-
},
|
| 321 |
-
{
|
| 322 |
-
"id": 32032,
|
| 323 |
-
"content": "<|data|>",
|
| 324 |
-
"single_word": false,
|
| 325 |
-
"lstrip": false,
|
| 326 |
-
"rstrip": true,
|
| 327 |
-
"normalized": false,
|
| 328 |
-
"special": true
|
| 329 |
-
},
|
| 330 |
-
{
|
| 331 |
-
"id": 32033,
|
| 332 |
-
"content": "<|/data|>",
|
| 333 |
-
"single_word": false,
|
| 334 |
-
"lstrip": false,
|
| 335 |
-
"rstrip": true,
|
| 336 |
-
"normalized": false,
|
| 337 |
-
"special": true
|
| 338 |
-
},
|
| 339 |
-
{
|
| 340 |
-
"id": 32034,
|
| 341 |
-
"content": "<|sys|>",
|
| 342 |
-
"single_word": false,
|
| 343 |
-
"lstrip": false,
|
| 344 |
-
"rstrip": true,
|
| 345 |
-
"normalized": false,
|
| 346 |
-
"special": true
|
| 347 |
-
},
|
| 348 |
-
{
|
| 349 |
-
"id": 32035,
|
| 350 |
-
"content": "<|/sys|>",
|
| 351 |
-
"single_word": false,
|
| 352 |
-
"lstrip": false,
|
| 353 |
-
"rstrip": true,
|
| 354 |
-
"normalized": false,
|
| 355 |
-
"special": true
|
| 356 |
-
},
|
| 357 |
-
{
|
| 358 |
-
"id": 32036,
|
| 359 |
-
"content": "<|inst|>",
|
| 360 |
-
"single_word": false,
|
| 361 |
-
"lstrip": false,
|
| 362 |
-
"rstrip": true,
|
| 363 |
-
"normalized": false,
|
| 364 |
-
"special": true
|
| 365 |
-
},
|
| 366 |
-
{
|
| 367 |
-
"id": 32037,
|
| 368 |
-
"content": "<|/inst|>",
|
| 369 |
-
"single_word": false,
|
| 370 |
-
"lstrip": false,
|
| 371 |
-
"rstrip": true,
|
| 372 |
"normalized": false,
|
| 373 |
"special": true
|
| 374 |
}
|
|
|
|
| 26 |
"content": "</s>",
|
| 27 |
"single_word": false,
|
| 28 |
"lstrip": false,
|
| 29 |
+
"rstrip": false,
|
| 30 |
"normalized": false,
|
| 31 |
+
"special": true
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"id": 32000,
|
|
|
|
| 44 |
"content": "<|assistant|>",
|
| 45 |
"single_word": false,
|
| 46 |
"lstrip": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
"normalized": false,
|
| 49 |
"special": true
|
| 50 |
},
|
| 51 |
{
|
| 52 |
"id": 32002,
|
| 53 |
+
"content": "<|placeholder1|>",
|
| 54 |
"single_word": false,
|
| 55 |
"lstrip": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
"normalized": false,
|
| 58 |
"special": true
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"id": 32003,
|
| 62 |
+
"content": "<|placeholder2|>",
|
| 63 |
"single_word": false,
|
| 64 |
"lstrip": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
"normalized": false,
|
| 67 |
"special": true
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"id": 32004,
|
| 71 |
+
"content": "<|placeholder3|>",
|
| 72 |
"single_word": false,
|
| 73 |
"lstrip": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
"normalized": false,
|
| 76 |
"special": true
|
| 77 |
},
|
| 78 |
{
|
| 79 |
"id": 32005,
|
| 80 |
+
"content": "<|placeholder4|>",
|
| 81 |
"single_word": false,
|
| 82 |
"lstrip": false,
|
| 83 |
+
"rstrip": false,
|
| 84 |
"normalized": false,
|
| 85 |
"special": true
|
| 86 |
},
|
|
|
|
| 89 |
"content": "<|system|>",
|
| 90 |
"single_word": false,
|
| 91 |
"lstrip": false,
|
| 92 |
+
"rstrip": false,
|
| 93 |
"normalized": false,
|
| 94 |
"special": true
|
| 95 |
},
|
|
|
|
| 98 |
"content": "<|end|>",
|
| 99 |
"single_word": false,
|
| 100 |
"lstrip": false,
|
| 101 |
+
"rstrip": false,
|
| 102 |
"normalized": false,
|
| 103 |
"special": true
|
| 104 |
},
|
| 105 |
{
|
| 106 |
"id": 32008,
|
| 107 |
+
"content": "<|placeholder5|>",
|
| 108 |
"single_word": false,
|
| 109 |
"lstrip": false,
|
| 110 |
+
"rstrip": false,
|
| 111 |
"normalized": false,
|
| 112 |
"special": true
|
| 113 |
},
|
| 114 |
{
|
| 115 |
"id": 32009,
|
| 116 |
+
"content": "<|placeholder6|>",
|
| 117 |
"single_word": false,
|
| 118 |
"lstrip": false,
|
| 119 |
+
"rstrip": false,
|
| 120 |
"normalized": false,
|
| 121 |
"special": true
|
| 122 |
},
|
|
|
|
| 125 |
"content": "<|user|>",
|
| 126 |
"single_word": false,
|
| 127 |
"lstrip": false,
|
| 128 |
+
"rstrip": false,
|
|
|
|
|
|
|
|
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|
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|
|
|
|
| 129 |
"normalized": false,
|
| 130 |
"special": true
|
| 131 |
}
|
tokenizer_config.json
CHANGED
|
@@ -22,9 +22,9 @@
|
|
| 22 |
"content": "</s>",
|
| 23 |
"lstrip": false,
|
| 24 |
"normalized": false,
|
| 25 |
-
"rstrip":
|
| 26 |
"single_word": false,
|
| 27 |
-
"special":
|
| 28 |
},
|
| 29 |
"32000": {
|
| 30 |
"content": "<|endoftext|>",
|
|
@@ -38,39 +38,39 @@
|
|
| 38 |
"content": "<|assistant|>",
|
| 39 |
"lstrip": false,
|
| 40 |
"normalized": false,
|
| 41 |
-
"rstrip":
|
| 42 |
"single_word": false,
|
| 43 |
"special": true
|
| 44 |
},
|
| 45 |
"32002": {
|
| 46 |
-
"content": "<|
|
| 47 |
"lstrip": false,
|
| 48 |
"normalized": false,
|
| 49 |
-
"rstrip":
|
| 50 |
"single_word": false,
|
| 51 |
"special": true
|
| 52 |
},
|
| 53 |
"32003": {
|
| 54 |
-
"content": "<|
|
| 55 |
"lstrip": false,
|
| 56 |
"normalized": false,
|
| 57 |
-
"rstrip":
|
| 58 |
"single_word": false,
|
| 59 |
"special": true
|
| 60 |
},
|
| 61 |
"32004": {
|
| 62 |
-
"content": "<|
|
| 63 |
"lstrip": false,
|
| 64 |
"normalized": false,
|
| 65 |
-
"rstrip":
|
| 66 |
"single_word": false,
|
| 67 |
"special": true
|
| 68 |
},
|
| 69 |
"32005": {
|
| 70 |
-
"content": "<|
|
| 71 |
"lstrip": false,
|
| 72 |
"normalized": false,
|
| 73 |
-
"rstrip":
|
| 74 |
"single_word": false,
|
| 75 |
"special": true
|
| 76 |
},
|
|
@@ -78,7 +78,7 @@
|
|
| 78 |
"content": "<|system|>",
|
| 79 |
"lstrip": false,
|
| 80 |
"normalized": false,
|
| 81 |
-
"rstrip":
|
| 82 |
"single_word": false,
|
| 83 |
"special": true
|
| 84 |
},
|
|
@@ -86,23 +86,23 @@
|
|
| 86 |
"content": "<|end|>",
|
| 87 |
"lstrip": false,
|
| 88 |
"normalized": false,
|
| 89 |
-
"rstrip":
|
| 90 |
"single_word": false,
|
| 91 |
"special": true
|
| 92 |
},
|
| 93 |
"32008": {
|
| 94 |
-
"content": "<|
|
| 95 |
"lstrip": false,
|
| 96 |
"normalized": false,
|
| 97 |
-
"rstrip":
|
| 98 |
"single_word": false,
|
| 99 |
"special": true
|
| 100 |
},
|
| 101 |
"32009": {
|
| 102 |
-
"content": "<|
|
| 103 |
"lstrip": false,
|
| 104 |
"normalized": false,
|
| 105 |
-
"rstrip":
|
| 106 |
"single_word": false,
|
| 107 |
"special": true
|
| 108 |
},
|
|
@@ -110,232 +110,13 @@
|
|
| 110 |
"content": "<|user|>",
|
| 111 |
"lstrip": false,
|
| 112 |
"normalized": false,
|
| 113 |
-
"rstrip":
|
| 114 |
-
"single_word": false,
|
| 115 |
-
"special": true
|
| 116 |
-
},
|
| 117 |
-
"32011": {
|
| 118 |
-
"content": "<|function_list|>",
|
| 119 |
-
"lstrip": false,
|
| 120 |
-
"normalized": false,
|
| 121 |
-
"rstrip": true,
|
| 122 |
-
"single_word": false,
|
| 123 |
-
"special": true
|
| 124 |
-
},
|
| 125 |
-
"32012": {
|
| 126 |
-
"content": "<|calc|>",
|
| 127 |
-
"lstrip": false,
|
| 128 |
-
"normalized": false,
|
| 129 |
-
"rstrip": true,
|
| 130 |
-
"single_word": false,
|
| 131 |
-
"special": true
|
| 132 |
-
},
|
| 133 |
-
"32013": {
|
| 134 |
-
"content": "<|code|>",
|
| 135 |
-
"lstrip": false,
|
| 136 |
-
"normalized": false,
|
| 137 |
-
"rstrip": true,
|
| 138 |
-
"single_word": false,
|
| 139 |
-
"special": true
|
| 140 |
-
},
|
| 141 |
-
"32014": {
|
| 142 |
-
"content": "<|/code|>",
|
| 143 |
-
"lstrip": false,
|
| 144 |
-
"normalized": false,
|
| 145 |
-
"rstrip": true,
|
| 146 |
-
"single_word": false,
|
| 147 |
-
"special": true
|
| 148 |
-
},
|
| 149 |
-
"32015": {
|
| 150 |
-
"content": "<|summary|>",
|
| 151 |
-
"lstrip": false,
|
| 152 |
-
"normalized": false,
|
| 153 |
-
"rstrip": true,
|
| 154 |
-
"single_word": false,
|
| 155 |
-
"special": true
|
| 156 |
-
},
|
| 157 |
-
"32016": {
|
| 158 |
-
"content": "<|resource|>",
|
| 159 |
-
"lstrip": false,
|
| 160 |
-
"normalized": false,
|
| 161 |
-
"rstrip": true,
|
| 162 |
-
"single_word": false,
|
| 163 |
-
"special": true
|
| 164 |
-
},
|
| 165 |
-
"32017": {
|
| 166 |
-
"content": "<|assistant_mask|>",
|
| 167 |
-
"lstrip": false,
|
| 168 |
-
"normalized": false,
|
| 169 |
-
"rstrip": true,
|
| 170 |
-
"single_word": false,
|
| 171 |
-
"special": true
|
| 172 |
-
},
|
| 173 |
-
"32018": {
|
| 174 |
-
"content": "<|start|>",
|
| 175 |
-
"lstrip": false,
|
| 176 |
-
"normalized": false,
|
| 177 |
-
"rstrip": true,
|
| 178 |
-
"single_word": false,
|
| 179 |
-
"special": true
|
| 180 |
-
},
|
| 181 |
-
"32019": {
|
| 182 |
-
"content": "<|message|>",
|
| 183 |
-
"lstrip": false,
|
| 184 |
-
"normalized": false,
|
| 185 |
-
"rstrip": true,
|
| 186 |
-
"single_word": false,
|
| 187 |
-
"special": true
|
| 188 |
-
},
|
| 189 |
-
"32020": {
|
| 190 |
-
"content": "<|fim_prefix|>",
|
| 191 |
-
"lstrip": false,
|
| 192 |
-
"normalized": false,
|
| 193 |
-
"rstrip": true,
|
| 194 |
-
"single_word": false,
|
| 195 |
-
"special": true
|
| 196 |
-
},
|
| 197 |
-
"32021": {
|
| 198 |
-
"content": "<|fim_middle|>",
|
| 199 |
-
"lstrip": false,
|
| 200 |
-
"normalized": false,
|
| 201 |
-
"rstrip": true,
|
| 202 |
-
"single_word": false,
|
| 203 |
-
"special": true
|
| 204 |
-
},
|
| 205 |
-
"32022": {
|
| 206 |
-
"content": "<|fim_suffix|>",
|
| 207 |
-
"lstrip": false,
|
| 208 |
-
"normalized": false,
|
| 209 |
-
"rstrip": true,
|
| 210 |
-
"single_word": false,
|
| 211 |
-
"special": true
|
| 212 |
-
},
|
| 213 |
-
"32023": {
|
| 214 |
-
"content": "<|meta_start|>",
|
| 215 |
-
"lstrip": false,
|
| 216 |
-
"normalized": false,
|
| 217 |
-
"rstrip": true,
|
| 218 |
-
"single_word": false,
|
| 219 |
-
"special": true
|
| 220 |
-
},
|
| 221 |
-
"32024": {
|
| 222 |
-
"content": "<|ipynb_marker|>",
|
| 223 |
-
"lstrip": false,
|
| 224 |
-
"normalized": false,
|
| 225 |
-
"rstrip": true,
|
| 226 |
-
"single_word": false,
|
| 227 |
-
"special": true
|
| 228 |
-
},
|
| 229 |
-
"32025": {
|
| 230 |
-
"content": "<|diff_marker|>",
|
| 231 |
-
"lstrip": false,
|
| 232 |
-
"normalized": false,
|
| 233 |
-
"rstrip": true,
|
| 234 |
-
"single_word": false,
|
| 235 |
-
"special": true
|
| 236 |
-
},
|
| 237 |
-
"32026": {
|
| 238 |
-
"content": "<|ghissue|>",
|
| 239 |
-
"lstrip": false,
|
| 240 |
-
"normalized": false,
|
| 241 |
-
"rstrip": true,
|
| 242 |
-
"single_word": false,
|
| 243 |
-
"special": true
|
| 244 |
-
},
|
| 245 |
-
"32027": {
|
| 246 |
-
"content": "<|ghreview|>",
|
| 247 |
-
"lstrip": false,
|
| 248 |
-
"normalized": false,
|
| 249 |
-
"rstrip": true,
|
| 250 |
-
"single_word": false,
|
| 251 |
-
"special": true
|
| 252 |
-
},
|
| 253 |
-
"32028": {
|
| 254 |
-
"content": "<|disc_start|>",
|
| 255 |
-
"lstrip": false,
|
| 256 |
-
"normalized": false,
|
| 257 |
-
"rstrip": true,
|
| 258 |
-
"single_word": false,
|
| 259 |
-
"special": true
|
| 260 |
-
},
|
| 261 |
-
"32029": {
|
| 262 |
-
"content": "<|disc_sep|>",
|
| 263 |
-
"lstrip": false,
|
| 264 |
-
"normalized": false,
|
| 265 |
-
"rstrip": true,
|
| 266 |
-
"single_word": false,
|
| 267 |
-
"special": true
|
| 268 |
-
},
|
| 269 |
-
"32030": {
|
| 270 |
-
"content": "<|disc_thread|><|query|>",
|
| 271 |
-
"lstrip": false,
|
| 272 |
-
"normalized": false,
|
| 273 |
-
"rstrip": true,
|
| 274 |
-
"single_word": false,
|
| 275 |
-
"special": true
|
| 276 |
-
},
|
| 277 |
-
"32031": {
|
| 278 |
-
"content": "<|/query|>",
|
| 279 |
-
"lstrip": false,
|
| 280 |
-
"normalized": false,
|
| 281 |
-
"rstrip": true,
|
| 282 |
-
"single_word": false,
|
| 283 |
-
"special": true
|
| 284 |
-
},
|
| 285 |
-
"32032": {
|
| 286 |
-
"content": "<|data|>",
|
| 287 |
-
"lstrip": false,
|
| 288 |
-
"normalized": false,
|
| 289 |
-
"rstrip": true,
|
| 290 |
-
"single_word": false,
|
| 291 |
-
"special": true
|
| 292 |
-
},
|
| 293 |
-
"32033": {
|
| 294 |
-
"content": "<|/data|>",
|
| 295 |
-
"lstrip": false,
|
| 296 |
-
"normalized": false,
|
| 297 |
-
"rstrip": true,
|
| 298 |
-
"single_word": false,
|
| 299 |
-
"special": true
|
| 300 |
-
},
|
| 301 |
-
"32034": {
|
| 302 |
-
"content": "<|sys|>",
|
| 303 |
-
"lstrip": false,
|
| 304 |
-
"normalized": false,
|
| 305 |
-
"rstrip": true,
|
| 306 |
-
"single_word": false,
|
| 307 |
-
"special": true
|
| 308 |
-
},
|
| 309 |
-
"32035": {
|
| 310 |
-
"content": "<|/sys|>",
|
| 311 |
-
"lstrip": false,
|
| 312 |
-
"normalized": false,
|
| 313 |
-
"rstrip": true,
|
| 314 |
-
"single_word": false,
|
| 315 |
-
"special": true
|
| 316 |
-
},
|
| 317 |
-
"32036": {
|
| 318 |
-
"content": "<|inst|>",
|
| 319 |
-
"lstrip": false,
|
| 320 |
-
"normalized": false,
|
| 321 |
-
"rstrip": true,
|
| 322 |
-
"single_word": false,
|
| 323 |
-
"special": true
|
| 324 |
-
},
|
| 325 |
-
"32037": {
|
| 326 |
-
"content": "<|/inst|>",
|
| 327 |
-
"lstrip": false,
|
| 328 |
-
"normalized": false,
|
| 329 |
-
"rstrip": true,
|
| 330 |
"single_word": false,
|
| 331 |
"special": true
|
| 332 |
}
|
| 333 |
},
|
| 334 |
-
"additional_special_tokens": [
|
| 335 |
-
"<|/inst|>"
|
| 336 |
-
],
|
| 337 |
"bos_token": "<s>",
|
| 338 |
-
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == '
|
| 339 |
"clean_up_tokenization_spaces": false,
|
| 340 |
"eos_token": "<|endoftext|>",
|
| 341 |
"legacy": false,
|
|
|
|
| 22 |
"content": "</s>",
|
| 23 |
"lstrip": false,
|
| 24 |
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
},
|
| 29 |
"32000": {
|
| 30 |
"content": "<|endoftext|>",
|
|
|
|
| 38 |
"content": "<|assistant|>",
|
| 39 |
"lstrip": false,
|
| 40 |
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
"single_word": false,
|
| 43 |
"special": true
|
| 44 |
},
|
| 45 |
"32002": {
|
| 46 |
+
"content": "<|placeholder1|>",
|
| 47 |
"lstrip": false,
|
| 48 |
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
"single_word": false,
|
| 51 |
"special": true
|
| 52 |
},
|
| 53 |
"32003": {
|
| 54 |
+
"content": "<|placeholder2|>",
|
| 55 |
"lstrip": false,
|
| 56 |
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
"single_word": false,
|
| 59 |
"special": true
|
| 60 |
},
|
| 61 |
"32004": {
|
| 62 |
+
"content": "<|placeholder3|>",
|
| 63 |
"lstrip": false,
|
| 64 |
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
"single_word": false,
|
| 67 |
"special": true
|
| 68 |
},
|
| 69 |
"32005": {
|
| 70 |
+
"content": "<|placeholder4|>",
|
| 71 |
"lstrip": false,
|
| 72 |
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
"single_word": false,
|
| 75 |
"special": true
|
| 76 |
},
|
|
|
|
| 78 |
"content": "<|system|>",
|
| 79 |
"lstrip": false,
|
| 80 |
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
"single_word": false,
|
| 83 |
"special": true
|
| 84 |
},
|
|
|
|
| 86 |
"content": "<|end|>",
|
| 87 |
"lstrip": false,
|
| 88 |
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
"single_word": false,
|
| 91 |
"special": true
|
| 92 |
},
|
| 93 |
"32008": {
|
| 94 |
+
"content": "<|placeholder5|>",
|
| 95 |
"lstrip": false,
|
| 96 |
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
"single_word": false,
|
| 99 |
"special": true
|
| 100 |
},
|
| 101 |
"32009": {
|
| 102 |
+
"content": "<|placeholder6|>",
|
| 103 |
"lstrip": false,
|
| 104 |
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
"single_word": false,
|
| 107 |
"special": true
|
| 108 |
},
|
|
|
|
| 110 |
"content": "<|user|>",
|
| 111 |
"lstrip": false,
|
| 112 |
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
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|
| 114 |
"single_word": false,
|
| 115 |
"special": true
|
| 116 |
}
|
| 117 |
},
|
|
|
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|
| 118 |
"bos_token": "<s>",
|
| 119 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
|
| 120 |
"clean_up_tokenization_spaces": false,
|
| 121 |
"eos_token": "<|endoftext|>",
|
| 122 |
"legacy": false,
|