You can deploy this model and start earning money today!

mbort1/
d56823bb-cd8e-4e42-b155-80c88f5aa85d

Name: d56823bb-cd8e-4e42-b155-80c88f5aa85d
Availability: InStock

generated_from_trainer

unsloth/zephyr-sft

adapter

apache-2.0

Views

No views yet

See axolotl config

axolotl version: 0.4.1

yaml

adapter: lora
base_model: unsloth/zephyr-sft
bf16: true
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - a98363d9e111cae2_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/a98363d9e111cae2_train_data.json
  type:
    field_instruction: inputs
    field_output: targets
    format: '{instruction}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
do_eval: true
early_stopping_patience: 3
eval_batch_size: 8
eval_max_new_tokens: 128
eval_steps: 100
evals_per_epoch: null
flash_attention: false
fp16: false
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: true
group_by_length: true
hub_model_id: mbort1/d56823bb-cd8e-4e42-b155-80c88f5aa85d
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: 50
lora_alpha: 128
lora_dropout: 0.15
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_steps: 1000
merge_lora: true
micro_batch_size: 16
mlflow_experiment_name: /tmp/a98363d9e111cae2_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
optimizer: lion_32bit
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: true
save_only_model: false
save_steps: 1000
saves_per_epoch: null
seed: 4
sequence_len: 1024
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: bf234bc4-112f-4540-9f33-c59398bec162
wandb_project: mb4
wandb_run: your_name
wandb_runid: bf234bc4-112f-4540-9f33-c59398bec162
warmup_steps: 50
weight_decay: 0.01
xformers_attention: null

d56823bb-cd8e-4e42-b155-80c88f5aa85d

This model is a fine-tuned version of unsloth/zephyr-sft on the None dataset. It achieves the following results on the evaluation set:

Loss: nan

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: 16
eval_batch_size: 8
seed: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.LION and the args are: No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0013	1	nan
0.0	0.1346	100	nan
0.0	0.2693	200	nan
0.0	0.4039	300	nan
0.0	0.5385	400	nan
0.0	0.6732	500	nan
0.0	0.8078	600	nan
0.0	0.9424	700	nan
0.0	1.0767	800	nan
0.0	1.2114	900	nan
0.0	1.3460	1000	nan

Framework versions

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