You can deploy this model and start earning money today!

nadejdatarabukina/
eb595646-45ca-46e8-879c-614de7c1d548

Name: eb595646-45ca-46e8-879c-614de7c1d548
Availability: InStock

generated_from_trainer

heegyu/WizardVicuna-open-llama-3b-v2

adapter

apache-2.0

Views

No views yet

See axolotl config

axolotl version: 0.4.1

yaml

adapter: lora
base_model: heegyu/WizardVicuna-open-llama-3b-v2
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - 2801922a97bc0696_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/2801922a97bc0696_train_data.json
  type:
    field_input: text
    field_instruction: title
    field_output: review
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
device: cuda
early_stopping_patience: null
eval_max_new_tokens: 128
eval_table_size: null
evals_per_epoch: 4
flash_attention: false
fp16: null
fsdp: null
fsdp_config:
  max_steps: 50
  weight_decay: 0.01
gradient_accumulation_steps: 4
gradient_checkpointing: false
group_by_length: false
hub_model_id: nadejdatarabukina/eb595646-45ca-46e8-879c-614de7c1d548
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: 16
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 8
lora_target_linear: true
lr_scheduler: cosine
max_memory:
  0: 70GiB
max_steps: 50
micro_batch_size: 2
mlflow_experiment_name: /tmp/2801922a97bc0696_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
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: 70
sequence_len: 1024
special_tokens:
  pad_token: </s>
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: eb595646-45ca-46e8-879c-614de7c1d548
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: eb595646-45ca-46e8-879c-614de7c1d548
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null

eb595646-45ca-46e8-879c-614de7c1d548

This model is a fine-tuned version of heegyu/WizardVicuna-open-llama-3b-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0044

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH 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: 10
training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss
0.1918	0.0000	1	0.1684
0.1471	0.0002	5	0.1553
0.0807	0.0004	10	0.0717
0.0241	0.0006	15	0.0281
0.0136	0.0008	20	0.0113
0.0064	0.0010	25	0.0077
0.0114	0.0013	30	0.0062
0.0046	0.0015	35	0.0049
0.0017	0.0017	40	0.0046
0.0118	0.0019	45	0.0044
0.0016	0.0021	50	0.0044

Framework versions

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