---
library_name: peft
license: apache-2.0
base_model: unsloth/tinyllama-chat
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 879525cd-e4f2-4e44-8072-ec8f73b38ea4
results: []
---
[
](https://github.com/axolotl-ai-cloud/axolotl)
See axolotl config
axolotl version: `0.4.1`
```yaml
adapter: lora
base_model: unsloth/tinyllama-chat
bf16: true
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
- 3a1bcb8cca7edd27_train_data.json
ds_type: json
format: custom
path: /workspace/input_data/3a1bcb8cca7edd27_train_data.json
type:
field_input: knowledge
field_instruction: instruction
field_output: response
format: '{instruction} {input}'
no_input_format: '{instruction}'
system_format: '{system}'
system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: 2
eval_max_new_tokens: 128
eval_steps: 100
eval_table_size: null
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 8
gradient_checkpointing: true
group_by_length: false
hub_model_id: Romain-XV/879525cd-e4f2-4e44-8072-ec8f73b38ea4
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0002
load_best_model_at_end: true
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 128
lora_dropout: 0.3
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: 4140
micro_batch_size: 4
mlflow_experiment_name: /tmp/3a1bcb8cca7edd27_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 2
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: 100
sequence_len: 2048
strict: false
tf32: true
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
use_rslora: true
val_set_size: 0.01668335001668335
wandb_entity: null
wandb_mode: online
wandb_name: b82dc40a-1f45-42af-bd37-f4c50d3f06b9
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: b82dc40a-1f45-42af-bd37-f4c50d3f06b9
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null
```
# 879525cd-e4f2-4e44-8072-ec8f73b38ea4
This model is a fine-tuned version of [unsloth/tinyllama-chat](https://huggingface.co/unsloth/tinyllama-chat) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6455
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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: 4140
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9466 | 0.0001 | 1 | 0.8223 |
| 0.7105 | 0.0109 | 100 | 0.7313 |
| 0.681 | 0.0217 | 200 | 0.7192 |
| 0.7182 | 0.0326 | 300 | 0.7122 |
| 0.6349 | 0.0434 | 400 | 0.7070 |
| 0.742 | 0.0543 | 500 | 0.7019 |
| 0.6625 | 0.0652 | 600 | 0.6981 |
| 0.7204 | 0.0760 | 700 | 0.6951 |
| 0.7891 | 0.0869 | 800 | 0.6925 |
| 0.6709 | 0.0977 | 900 | 0.6898 |
| 0.6681 | 0.1086 | 1000 | 0.6867 |
| 0.6967 | 0.1194 | 1100 | 0.6846 |
| 0.7626 | 0.1303 | 1200 | 0.6823 |
| 0.7464 | 0.1412 | 1300 | 0.6798 |
| 0.6655 | 0.1520 | 1400 | 0.6773 |
| 0.6699 | 0.1629 | 1500 | 0.6752 |
| 0.808 | 0.1737 | 1600 | 0.6732 |
| 0.6473 | 0.1846 | 1700 | 0.6711 |
| 0.6322 | 0.1955 | 1800 | 0.6697 |
| 0.6771 | 0.2063 | 1900 | 0.6668 |
| 0.6453 | 0.2172 | 2000 | 0.6654 |
| 0.6398 | 0.2280 | 2100 | 0.6636 |
| 0.7477 | 0.2389 | 2200 | 0.6620 |
| 0.7543 | 0.2497 | 2300 | 0.6600 |
| 0.5852 | 0.2606 | 2400 | 0.6581 |
| 0.6464 | 0.2715 | 2500 | 0.6567 |
| 0.5976 | 0.2823 | 2600 | 0.6553 |
| 0.5494 | 0.2932 | 2700 | 0.6535 |
| 0.7006 | 0.3040 | 2800 | 0.6521 |
| 0.6583 | 0.3149 | 2900 | 0.6512 |
| 0.6454 | 0.3258 | 3000 | 0.6503 |
| 0.6695 | 0.3366 | 3100 | 0.6493 |
| 0.7171 | 0.3475 | 3200 | 0.6484 |
| 0.6111 | 0.3583 | 3300 | 0.6476 |
| 0.6028 | 0.3692 | 3400 | 0.6471 |
| 0.7963 | 0.3800 | 3500 | 0.6465 |
| 0.6989 | 0.3909 | 3600 | 0.6462 |
| 0.7354 | 0.4018 | 3700 | 0.6459 |
| 0.6742 | 0.4126 | 3800 | 0.6457 |
| 0.6839 | 0.4235 | 3900 | 0.6456 |
| 0.6608 | 0.4343 | 4000 | 0.6455 |
| 0.6948 | 0.4452 | 4100 | 0.6455 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1