See axolotl config
axolotl version: 0.4.1
adapter: lora
base_model: unsloth/tinyllama
batch_size: 8
bf16: true
chat_template: tokenizer_default_fallback_alpaca
datasets:
- data_files:
- fced0da711a452c4_train_data.json
ds_type: json
format: custom
path: /workspace/input_data/fced0da711a452c4_train_data.json
type:
field_instruction: question_body
field_output: question_title
format: '{instruction}'
no_input_format: '{instruction}'
system_format: '{system}'
system_prompt: ''
early_stopping_patience: 3
eval_steps: 50
flash_attention: true
gpu_memory_limit: 80GiB
gradient_checkpointing: true
group_by_length: true
hub_model_id: willtensora/dc78143d-f969-489f-b5a3-33391bf2b1e6
hub_strategy: checkpoint
learning_rate: 0.0002
logging_steps: 10
lora_alpha: 256
lora_dropout: 0.1
lora_r: 128
lora_target_linear: true
lr_scheduler: cosine
micro_batch_size: 1
model_type: AutoModelForCausalLM
num_epochs: 100
optimizer: adamw_bnb_8bit
output_dir: miner_id_24
pad_to_sequence_len: true
resize_token_embeddings_to_32x: false
sample_packing: false
save_steps: 50
sequence_len: 2048
tokenizer_type: LlamaTokenizerFast
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.1
wandb_entity: ''
wandb_mode: online
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: default
warmup_ratio: 0.05
xformers_attention: true
dc78143d-f969-489f-b5a3-33391bf2b1e6
This model is a fine-tuned version of unsloth/tinyllama on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3469
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- 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: 335
- num_epochs: 100
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.0019 | 1 | 3.1687 |
1.4763 | 0.0931 | 50 | 1.4450 |
1.3149 | 0.1862 | 100 | 1.3312 |
1.3618 | 0.2793 | 150 | 1.3268 |
1.396 | 0.3724 | 200 | 1.3320 |
1.4143 | 0.4655 | 250 | 1.3690 |
1.3715 | 0.5587 | 300 | 1.3469 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for willtensora/dc78143d-f969-489f-b5a3-33391bf2b1e6
Base model
unsloth/tinyllama