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Model: arcee-ai/Mistral-7B-Instruct-v0.2-expanded-sec-1.6B-tokens Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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tags:
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- mergekit
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datasets:
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- arcee-ai/sec-data-full
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---
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# arcee-ai/Mistral-7B-Instruct-v0.2-expanded-sec-1.6B-tokens
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This model was trained for a single epoch with 1.6B SEC data in Llama-pro style
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### Model Description
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We only trained the newly added blocks as in the Llama pro paper while keeping every other layer frozen.
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- **Finetuned from model:** arcee-ai/Mistral-7B-Instruct-v0.2-expanded
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Repository:** Used huggingface/alignment-handbook - https://github.com/huggingface/alignment-handbook/tree/main/recipes/gpt2-nl/cpt
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- **Paper :** LLAMA PRO: Progressive LLaMA with Block Expansion [https://arxiv.org/pdf/2401.02415.pdf]
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## Uses
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Can use with SEC data.
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#### Training Hyperparameters
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Trained with p5.48xlarge GPU (8 x 80GB).
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```
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# Model arguments
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model_name_or_path: arcee-ai/Mistral-7B-Instruct-v0.2-expanded
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model_revision: main
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torch_dtype: bfloat16
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# Data training arguments
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dataset_mixer:
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arcee-ai/sec-data-full: 1.0
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dataset_splits:
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- train
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preprocessing_num_workers: 12
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# SFT trainer config
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bf16: true
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do_eval: False
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evaluation_strategy: "no"
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gradient_accumulation_steps: 32
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: False
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hub_model_id: arcee-ai/mistral-instruct-v2-sec-expanded
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hub_strategy: every_save
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learning_rate: 2.0e-05
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log_level: info
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logging_steps: 1
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logging_strategy: steps
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lr_scheduler_type: cosine
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max_seq_length: 2048
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max_steps: -1
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num_train_epochs: 1
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output_dir: data/mistral-instruct-v2-sec-expanded-new
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overwrite_output_dir: true
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per_device_eval_batch_size: 1
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per_device_train_batch_size: 16
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push_to_hub: true
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remove_unused_columns: true
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report_to:
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- wandb
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save_strategy: "steps"
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save_steps: 100
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save_total_limit: 1
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seed: 42
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warmup_ratio: 0.01
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# ACCELERATE_LOG_LEVEL=info accelerate launch --config_file recipes/accelerate_configs/multi_gpu.yaml --num_processes=8 scripts/run_cpt.py recipes/gpt2-nl/cpt/config_full.yaml
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```
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#### Loss Curves
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config.json
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config.json
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{
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"_name_or_path": "./",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 40,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.39.0.dev0",
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"use_cache": false,
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"vocab_size": 32000
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}
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configuration.json
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||||
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||||
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||||
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|
||||
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|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 2048,
|
||||
"pad_token": "</s>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user