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Model: arcee-ai/Mistral-7B-Instruct-v0.2-expanded-sec-1.6B-tokens
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---
library_name: transformers
tags:
- mergekit
datasets:
- arcee-ai/sec-data-full
---
![image/png](https://cdn-uploads.huggingface.co/production/uploads/654aa1d86167ff03f70e32f9/T2_rD3V_qebYg_nKzV6hM.png)
# arcee-ai/Mistral-7B-Instruct-v0.2-expanded-sec-1.6B-tokens
This model was trained for a single epoch with 1.6B SEC data in Llama-pro style
### Model Description
We only trained the newly added blocks as in the Llama pro paper while keeping every other layer frozen.
- **Finetuned from model:** arcee-ai/Mistral-7B-Instruct-v0.2-expanded
### Model Sources
<!-- Provide the basic links for the model. -->
- **Repository:** Used huggingface/alignment-handbook - https://github.com/huggingface/alignment-handbook/tree/main/recipes/gpt2-nl/cpt
- **Paper :** LLAMA PRO: Progressive LLaMA with Block Expansion [https://arxiv.org/pdf/2401.02415.pdf]
## Uses
Can use with SEC data.
#### Training Hyperparameters
Trained with p5.48xlarge GPU (8 x 80GB).
```
# Model arguments
model_name_or_path: arcee-ai/Mistral-7B-Instruct-v0.2-expanded
model_revision: main
torch_dtype: bfloat16
# Data training arguments
dataset_mixer:
arcee-ai/sec-data-full: 1.0
dataset_splits:
- train
preprocessing_num_workers: 12
# SFT trainer config
bf16: true
do_eval: False
evaluation_strategy: "no"
gradient_accumulation_steps: 32
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: False
hub_model_id: arcee-ai/mistral-instruct-v2-sec-expanded
hub_strategy: every_save
learning_rate: 2.0e-05
log_level: info
logging_steps: 1
logging_strategy: steps
lr_scheduler_type: cosine
max_seq_length: 2048
max_steps: -1
num_train_epochs: 1
output_dir: data/mistral-instruct-v2-sec-expanded-new
overwrite_output_dir: true
per_device_eval_batch_size: 1
per_device_train_batch_size: 16
push_to_hub: true
remove_unused_columns: true
report_to:
- wandb
save_strategy: "steps"
save_steps: 100
save_total_limit: 1
seed: 42
warmup_ratio: 0.01
# 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
```
#### Loss Curves
![image/png](https://cdn-uploads.huggingface.co/production/uploads/654aa1d86167ff03f70e32f9/N2CLKSoXh1zrf8b8Kz_9r.png)

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{
"_name_or_path": "./",
"architectures": [
"MistralForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 32768,
"model_type": "mistral",
"num_attention_heads": 32,
"num_hidden_layers": 40,
"num_key_value_heads": 8,
"rms_norm_eps": 1e-05,
"rope_theta": 1000000.0,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "float32",
"transformers_version": "4.39.0.dev0",
"use_cache": false,
"vocab_size": 32000
}

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"_from_model_config": true,
"bos_token_id": 1,
"eos_token_id": 2,
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