You can deploy this model and start earning money today!

tuantmdev/
092cea85-f22d-4a3a-8ba1-6fec703b5830

Name: 092cea85-f22d-4a3a-8ba1-6fec703b5830
Availability: InStock

generated_from_trainer

unsloth/Mistral-Nemo-Base-2407

adapter

apache-2.0

Views

No views yet

See axolotl config

axolotl version: 0.4.1

yaml

adapter: lora
auto_find_batch_size: true
base_model: unsloth/Mistral-Nemo-Base-2407
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - 88e891b310cac762_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/88e891b310cac762_train_data.json
  type:
    field_input: mag_field_of_study
    field_instruction: section_title
    field_output: original_text
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: 3
eval_max_new_tokens: 128
eval_steps: 50
eval_table_size: null
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 8
gradient_checkpointing: false
group_by_length: true
hub_model_id: tuantmdev/092cea85-f22d-4a3a-8ba1-6fec703b5830
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 1e-4
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 40
lora_alpha: 64
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lr_scheduler: cosine
max_grad_norm: 1.0
max_steps: 400
micro_batch_size: 2
mlflow_experiment_name: /tmp/88e891b310cac762_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 1
optimizer: adamw_bnb_8bit
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 50
save_strategy: steps
sequence_len: 512
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: eee40976-8f66-4c8f-90d1-7f31e89b04c6
wandb_project: Gradients-On-Demand
wandb_run: unknown
wandb_runid: eee40976-8f66-4c8f-90d1-7f31e89b04c6
warmup_steps: 80
weight_decay: 0.0
xformers_attention: null

092cea85-f22d-4a3a-8ba1-6fec703b5830

This model is a fine-tuned version of unsloth/Mistral-Nemo-Base-2407 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3132

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_BNB 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: 80
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0001	1	2.4763
18.4036	0.0040	50	2.3032
18.0594	0.0080	100	2.3154
18.0987	0.0120	150	2.3171
18.2636	0.0160	200	2.3132

Framework versions

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