metadata
library_name: peft
base_model: EleutherAI/pythia-14m
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 69b7eea5-e651-4261-bbe7-dff9a84f0402
results: []
See axolotl config
axolotl version: 0.4.1
adapter: qlora
base_model: EleutherAI/pythia-14m
bf16: auto
chat_template: llama3
dataloader_num_workers: 6
dataset_prepared_path: null
datasets:
- data_files:
- 802c9640ea62abdd_train_data.json
ds_type: json
format: custom
path: /workspace/input_data/802c9640ea62abdd_train_data.json
type:
field_instruction: instruction
field_output: output
format: '{instruction}'
no_input_format: '{instruction}'
system_format: '{system}'
system_prompt: ''
debug: null
deepspeed: null
early_stopping:
metric: eval_loss
mode: min
patience: 3
eval_max_new_tokens: 128
eval_steps: 20
eval_table_size: null
evals_per_epoch: null
flash_attention: false
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 16
gradient_checkpointing: true
group_by_length: true
hub_model_id: error577/69b7eea5-e651-4261-bbe7-dff9a84f0402
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0003
load_in_4bit: true
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 64
lora_dropout: 0.3
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: 300
micro_batch_size: 1
mlflow_experiment_name: /tmp/802c9640ea62abdd_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 50
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: 20
sequence_len: 512
special_tokens:
pad_token: <|endoftext|>
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.02
wandb_entity: null
wandb_mode: online
wandb_name: 8ea0398e-a0bd-403d-bf23-7a1713ec2e02
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: 8ea0398e-a0bd-403d-bf23-7a1713ec2e02
warmup_steps: 10
weight_decay: 0.01
xformers_attention: null
69b7eea5-e651-4261-bbe7-dff9a84f0402
This model is a fine-tuned version of EleutherAI/pythia-14m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.7804
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: 0.0003
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- 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: 10
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 118.0917 | 0.0007 | 1 | 15.7435 |
| 91.0717 | 0.0132 | 20 | 15.4725 |
| 220.4361 | 0.0264 | 40 | 16.9799 |
| 119.3659 | 0.0396 | 60 | 16.1753 |
| 194.2475 | 0.0528 | 80 | 21.7871 |
| 116.0362 | 0.0660 | 100 | 9.9620 |
| 89.6598 | 0.0792 | 120 | 12.7886 |
| 101.8808 | 0.0924 | 140 | 10.7512 |
| 98.0636 | 0.1056 | 160 | 11.3606 |
| 257.9727 | 0.1189 | 180 | 9.8128 |
| 118.2566 | 0.1321 | 200 | 8.8693 |
| 88.1685 | 0.1453 | 220 | 9.6910 |
| 89.4133 | 0.1585 | 240 | 8.8560 |
| 92.8052 | 0.1717 | 260 | 8.8088 |
| 316.9688 | 0.1849 | 280 | 8.8240 |
| 106.2684 | 0.1981 | 300 | 8.7804 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1