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8422d6eb-7a82-43f3-92d5-4c4d9c32801a

PEFT
Safetensors
dbrx
axolotl
Generated from Trainer
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8422d6eb-7a82-43f3-92d5-4c4d9c32801a / README.md
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metadata
library_name: peft
base_model: katuni4ka/tiny-random-dbrx
tags:
  - axolotl
  - generated_from_trainer
model-index:
  - name: 8422d6eb-7a82-43f3-92d5-4c4d9c32801a
    results: []

Built with Axolotl

See axolotl config

axolotl version: 0.4.1

adapter: lora
auto_resume_from_checkpoints: false
base_model: katuni4ka/tiny-random-dbrx
bf16: auto
chat_template: llama3
dataset_prepared_path: null
dataset_processes:
datasets:
- data_files:
  - 1b5f3f0e9699035e_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/1b5f3f0e9699035e_train_data.json
  type:
    field_input: document_title
    field_instruction: question
    field_output: answer
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: 3
eval_max_new_tokens: 128
eval_steps: 1000
eval_table_size: null
evals_per_epoch: null
flash_attention: true
fp16: false
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 2
gradient_checkpointing: true
group_by_length: false
hub_model_id: error577/8422d6eb-7a82-43f3-92d5-4c4d9c32801a
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0002
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 64
lora_dropout: 0.1
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lr_scheduler: cosine
max_grad_norm: 1.0
max_steps: null
micro_batch_size: 8
mlflow_experiment_name: /tmp/1b5f3f0e9699035e_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 10
optimizer: adamw_bnb_8bit
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 1000
sequence_len: 256
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: online
wandb_name: e727ff45-4472-4587-b6f8-7d7f2f6b77e8
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: e727ff45-4472-4587-b6f8-7d7f2f6b77e8
warmup_steps: 30
weight_decay: 0.0
xformers_attention: null

8422d6eb-7a82-43f3-92d5-4c4d9c32801a

This model is a fine-tuned version of katuni4ka/tiny-random-dbrx on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 11.5

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: 0.0002
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 30
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
23.0 0.0006 1 11.5
23.0 0.6002 1000 11.5
23.0 1.2005 2000 11.5
23.0 1.8007 3000 11.5
23.0 2.4010 4000 11.5

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1