Modelpublic

aleegis10/ef59252b-b74c-4dac-834d-fa5c9422c00e

sourceHugging Facecc-by-sa-4.0updated 2y agoView on Hugging Face

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Model Card

<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/> <details><summary>See axolotl config</summary>

axolotl version: 0.4.1

yaml

adapter: lora
base_model: defog/sqlcoder-7b-2
bf16: true
chat_template: llama3
data_processes: 16
dataset_prepared_path: null
datasets:
- data_files:
  - 050b242e866dd8fa_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/050b242e866dd8fa_train_data.json
  type:
    field_input: input
    field_instruction: instruction
    field_output: output
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
device_map: auto
do_eval: true
early_stopping_patience: 5
eval_batch_size: 2
eval_max_new_tokens: 128
eval_steps: 50
eval_table_size: null
evals_per_epoch: null
flash_attention: true
fp16: false
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: true
group_by_length: true
hub_model_id: aleegis10/ef59252b-b74c-4dac-834d-fa5c9422c00e
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0001
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 128
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 64
lora_target_linear: true
lr_scheduler: cosine
max_grad_norm: 1.0
max_memory:
  0: 75GB
max_steps: 200
micro_batch_size: 8
mlflow_experiment_name: /tmp/050b242e866dd8fa_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
optim_args:
  adam_beta1: 0.9
  adam_beta2: 0.95
  adam_epsilon: 1e-5
optimizer: adamw_torch
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 50
saves_per_epoch: null
sequence_len: 1024
special_tokens:
  pad_token: </s>
strict: false
tf32: true
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: online
wandb_name: b59dc04c-8550-43b6-9c83-8d72e3fb811f
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: b59dc04c-8550-43b6-9c83-8d72e3fb811f
warmup_steps: 20
weight_decay: 0.0
xformers_attention: null

</details><br>

ef59252b-b74c-4dac-834d-fa5c9422c00e

This model is a fine-tuned version of defog/sqlcoder-7b-2 on the None dataset. It achieves the following results on the evaluation set:

—Loss: 0.7315

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: 0.0001
—trainbatchsize: 8
—evalbatchsize: 2
—seed: 42
—gradientaccumulationsteps: 4
—totaltrainbatch_size: 32
—optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=adambeta1=0.9,adambeta2=0.95,adam_epsilon=1e-5
—lrschedulertype: cosine
—lrschedulerwarmup_steps: 20
—training_steps: 200

Training results

Training Loss	Epoch	Step	Validation Loss
0.8465	0.0007	1	1.0143
0.7761	0.0328	50	0.8445
0.7087	0.0656	100	0.7730
0.7469	0.0983	150	0.7395
0.6606	0.1311	200	0.7315

Framework versions

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