adapter: null
base_model: /cache/models/unsloth--tinyllama-chat
bf16: true
chat_template: llama3
cosine_min_lr_ratio: 0.3
dataset_prepared_path: null
datasets:
- data_files:
  - /workspace/axolotl/data/5c3e2afa-00a4-4b4b-a499-cd6cfe206621_train_data.json
  ds_type: json
  format: custom
  path: /workspace/axolotl/data
  type:
    field_input: input
    field_instruction: instruct
    field_output: output
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
ddp: true
debug: null
deepspeed: null
early_stopping_patience: null
eval_sample_packing: false
eval_table_size: null
evals_per_epoch: 1
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: true
group_by_length: false
hub_model_id: skrd3/cd6babc2-c611-4830-aaf9-7cbd2a8ea576
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0001
liger_fused_linear_cross_entropy: true
liger_glu_activation: true
liger_layer_norm: true
liger_rms_norm: true
liger_rope: true
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 512
lora_dropout: 0.1
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 128
lora_target_linear: true
lr_scheduler: cosine
micro_batch_size: 60
mlflow_experiment_name: /workspace/axolotl/data/5c3e2afa-00a4-4b4b-a499-cd6cfe206621_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
optimizer: paged_adamw_8bit
output_dir: /app/checkpoints/5c3e2afa-00a4-4b4b-a499-cd6cfe206621/temp_trainer
pad_to_sequence_len: true
plugins:
- axolotl.integrations.liger.LigerPlugin
resume_from_checkpoint: null
s2_attention: null
sample_packing: true
save_only_model: true
saves_per_epoch: 1
sequence_len: 1024
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
use_liger: true
val_set_size: 0.000717620084750932
wandb_entity: null
wandb_mode: online
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: default
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null

cd6babc2-c611-4830-aaf9-7cbd2a8ea576

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7823

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
train_batch_size: 60
eval_batch_size: 60
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 240
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.2426	0.0036	1	1.3543
0.8432	0.2226	62	0.9210
0.7958	0.9982	278	0.7923
0.6455	1.9946	556	0.7536
0.4816	2.9910	834	0.7823

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1