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Tess-3-Mistral-Nemo-12B

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metadata
license: apache-2.0
base_model: mistralai/Mistral-Nemo-Base-2407
tags:
  - generated_from_trainer
model-index:
  - name: home/ubuntu/Tess-Nemo
    results: []

Built with Axolotl

See axolotl config

axolotl version: 0.4.1

base_model: mistralai/Mistral-Nemo-Base-2407
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

load_in_8bit: false
load_in_4bit: false
strict: false

datasets:
  - path: /home/ubuntu/Tess-3.0/Tess-3.0-multi_turn_chatml.jsonl
    type: sharegpt
    conversation: chatml
  - path: /home/ubuntu/Tess-3.0/Tess-3.0-single_turn_chatml.jsonl
    type: sharegpt
    conversation: chatml
  - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/tess-v1.5b-chatml.jsonl
    type: sharegpt
    conversation: chatml 
  - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Trinity-33B-v1.0-chatml.jsonl
    type: sharegpt
    conversation: chatml
  - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/synthia-3-v1-1-chatml.jsonl
    type: sharegpt
    conversation: chatml
  - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Capybara-ShareGPT/CapybaraPure_Decontaminated.jsonl
    type: sharegpt
    conversation: chatml    
  - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Dolphin-2.9/toolbench_instruct_j1s1_3k_unfiltered.jsonl
    type: sharegpt
    conversation: chatml
  - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Dolphin-2.9/toolbench_negative_unfiltered.jsonl
    type: sharegpt
    conversation: chatml 
  - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Dolphin-2.9/toolbench_react_10p_unfiltered.jsonl
    type: sharegpt
    conversation: chatml 
  - path: /home/ubuntu/Tess-v2.5-FULL-DATASET/Dolphin-2.9/toolbench_tflan_cot_30p_unfiltered.jsonl
    type: sharegpt
    conversation: chatml 

chat_template: chatml

dataset_prepared_path: last_run_prepared_nemo
val_set_size: 0.0
output_dir: /home/ubuntu/Tess-Nemo

sequence_len: 4096
sample_packing: true
pad_to_sequence_len: true

gradient_accumulation_steps: 4
micro_batch_size: 3
num_epochs: 1
logging_steps: 1
optimizer: paged_adamw_32bit
lr_scheduler: constant
learning_rate: 1e-6

wandb_project: kindo-lambda-labs
wandb_watch:
wandb_run_id:
wandb_log_model:

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

gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: false
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
saves_per_epoch: 10
evals_per_epoch: 
save_total_limit: 2
save_steps:
eval_sample_packing: false
debug:
deepspeed: /home/ubuntu/axolotl/deepspeed_configs/zero3_bf16.json
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
  bos_token: "<|im_start|>"
  eos_token: "<|im_end|>"
  pad_token: "<|end_of_text|>"

home/ubuntu/Tess-Nemo

This model is a fine-tuned version of mistralai/Mistral-Nemo-Base-2407 on the None dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-06
  • train_batch_size: 3
  • eval_batch_size: 3
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 96
  • total_eval_batch_size: 24
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 69
  • num_epochs: 1

Training results

Framework versions

  • Transformers 4.44.0.dev0
  • Pytorch 2.4.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1