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mrferr3t/
25008a14-bee8-448a-801f-898db9eb76ea

Name: 25008a14-bee8-448a-801f-898db9eb76ea
Availability: InStock

peft

safetensors

llama

generated_from_trainer

trl-internal-testing/tiny-random-LlamaForCausalLM

adapter

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See axolotl config

axolotl version: 0.4.1

yaml

adapter: lora
auto_find_batch_size: false
base_model: trl-internal-testing/tiny-random-LlamaForCausalLM
bf16: auto
chat_template: llama3
dataloader_num_workers: 12
dataset_prepared_path: null
datasets:
- data_files:
  - fb3f92080c25ece3_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/fb3f92080c25ece3_train_data.json
  type:
    field_instruction: source_text
    field_output: target_text
    format: '{instruction}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: 
early_stopping_threshold: 1.0e-07
eval_max_new_tokens: 128
eval_steps: 
eval_strategy: null
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 8
gradient_checkpointing: false
group_by_length: false
hub_model_id: 
hub_repo: null
hub_strategy: all_checkpoints
hub_token: null
learning_rate: 0.003
load_best_model_at_end: true
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 
lora_alpha: 64
lora_dropout: 0.15
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lr_scheduler: cosine
max_grad_norm: 1
max_steps: 50
micro_batch_size: 16
mlflow_experiment_name: /tmp/fb3f92080c25ece3_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 200
optimizer: adamw_torch_fused
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 
save_total_limit: 10
saves_per_epoch: 0
sequence_len: 1024
strict: false
tf32: true
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
use_rslora: true
val_set_size: 0.0
wandb_entity: null
wandb_mode: disabled
wandb_name: 9c23a19f-2769-4bed-9616-2c50a201f19a
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: 9c23a19f-2769-4bed-9616-2c50a201f19a
warmup_steps: 100
weight_decay: 0
xformers_attention: null

miner_id_24

This model is a fine-tuned version of trl-internal-testing/tiny-random-LlamaForCausalLM 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: 0.003
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
training_steps: 50

Training results

Framework versions

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

mrferr3t/25008a14-bee8-448a-801f-898db9eb76ea

miner_id_24

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mrferr3t/
25008a14-bee8-448a-801f-898db9eb76ea