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Thestral7b-v0.1

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mistral
instruct
finetune
chatml
gpt4
synthetic data
distillation
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metadata
base_model: mistralai/Mistral-7B-v0.1
tags:
  - mistral
  - instruct
  - finetune
  - chatml
  - gpt4
  - synthetic data
  - distillation
model-index:
  - name: Thestral-0.1
    results: []
license: apache-2.0
language:
  - en

Thestral v0.1

image/png

Thestral is Mistral Fine-tune. The model is a QLoRA version of mistralai/Mistral-7B-v0.1 on the Open-Orca/SlimOrca.

This model is finetuned using 1xH100 using axolotl.

See axolotl config

axolotl version: 0.4.0

base_model: mistralai/Mistral-7B-v0.1
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer

load_in_8bit: false
load_in_4bit: true
strict: false

datasets:
  - path: Open-Orca/SlimOrca
    type: sharegpt
dataset_prepared_path: last_run_prepared
val_set_size: 0.1
output_dir: ./qlora-out_2

adapter: qlora
lora_model_dir:

sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true

lora_r: 128
lora_alpha: 32
lora_dropout: 0.05
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
  - gate_proj
  - down_proj
  - up_proj
  - q_proj
  - v_proj
  - k_proj
  - o_proj

wandb_project: slim_orca
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:

gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0002

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

loss_watchdog_threshold: 5.0
loss_watchdog_patience: 3

warmup_steps: 10
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
  bos_token: "<s>"
  eos_token: "</s>"
  unk_token: "<unk>"

GPT-4All Benchmark Set

Tasks Version Filter n-shot Metric Value Stderr
winogrande 1 none None acc 0.7498 ± 0.0122
piqa 1 none None acc 0.8172 ± 0.0090
none None acc_norm 0.8286 ± 0.0088
openbookqa 1 none None acc 0.3380 ± 0.0212
none None acc_norm 0.4420 ± 0.0222
hellaswag 1 none None acc 0.6254 ± 0.0048
none None acc_norm 0.8061 ± 0.0039
boolq 2 none None acc 0.8740 ± 0.0058
arc_easy 1 none None acc 0.8199 ± 0.0079
none None acc_norm 0.7891 ± 0.0084
arc_challenge 1 none None acc 0.5145 ± 0.0146
none None acc_norm 0.5461 ± 0.0145
Average: 71.93

🤖 Additional information about training

This model is fine-tuned for 1.0 epoch.

Loss graph

image/png


Thanks to axolotl for making the repository we used to make this model.

Built with Axolotl