See axolotl config
axolotl version: 0.5.2
adapter: lora
base_model: oopsung/llama2-7b-n-ox-test-v1
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
- a9b81c636e662c6a_train_data.json
ds_type: json
field: lyrics
path: /workspace/input_data/a9b81c636e662c6a_train_data.json
type: completion
debug: null
deepspeed: null
early_stopping_patience: 1
eval_max_new_tokens: 128
eval_steps: 25
eval_table_size: null
flash_attention: false
fp16: false
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 16
gradient_checkpointing: true
group_by_length: true
hub_model_id: DeepDream2045/a876cc0f-a872-4b1d-976d-a66f4d406648
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0001
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
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_steps: 50
micro_batch_size: 2
mlflow_experiment_name: /tmp/a9b81c636e662c6a_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: 25
sequence_len: 2048
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: a876cc0f-a872-4b1d-976d-a66f4d406648
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: a876cc0f-a872-4b1d-976d-a66f4d406648
warmup_ratio: 0.05
weight_decay: 0.01
xformers_attention: true
a876cc0f-a872-4b1d-976d-a66f4d406648
This model is a fine-tuned version of oopsung/llama2-7b-n-ox-test-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5669
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
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_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: 2
- training_steps: 50
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.4502 | 0.0081 | 1 | 3.2280 |
2.3044 | 0.2026 | 25 | 1.5989 |
2.1675 | 0.4053 | 50 | 1.5669 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.3
- Pytorch 2.3.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
- 12
Model tree for DeepDream2045/a876cc0f-a872-4b1d-976d-a66f4d406648
Base model
oopsung/llama2-7b-n-ox-test-v1