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---
library_name: peft
license: llama3.2
base_model: unsloth/Llama-3.2-1B-Instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: miner_id_2_ba9938bd-5490-4a39-90ab-976131f92334_1730940658
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<details><summary>See axolotl config</summary>
axolotl version: `0.4.1`
```yaml
adapter: lora
base_model: unsloth/Llama-3.2-1B-Instruct
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
- databricks-dolly-15k_train_data.json
ds_type: json
path: /workspace/input_data/databricks-dolly-15k_train_data.json
type:
field_input: instruction
field_instruction: context
field_output: response
system_format: '{system}'
system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: 3
eval_max_new_tokens: 128
eval_steps: 10
eval_table_size: null
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: true
group_by_length: false
hours_to_complete: 5
hub_model_id: besimray/miner_id_2_ba9938bd-5490-4a39-90ab-976131f92334_1730940658
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0002
load_in_4bit: false
load_in_8bit: true
local_rank: null
logging_steps: 1
lora_alpha: 32
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: 500
micro_batch_size: 1
mlflow_experiment_name: /tmp/databricks-dolly-15k_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
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: 10
save_strategy: steps
sequence_len: 4096
started_at: '2024-11-07T00:50:58.115572'
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: besimray24-rayon
wandb_mode: online
wandb_project: Public_TuningSN
wandb_run: miner_id_24
wandb_runid: ba9938bd-5490-4a39-90ab-976131f92334
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null
```
</details><br>
# miner_id_2_ba9938bd-5490-4a39-90ab-976131f92334_1730940658
This model is a fine-tuned version of [unsloth/Llama-3.2-1B-Instruct](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6064
## 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
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.9521 | 0.0003 | 1 | 2.3526 |
| 2.1819 | 0.0028 | 10 | 2.1240 |
| 2.7934 | 0.0056 | 20 | 1.7092 |
| 1.6372 | 0.0085 | 30 | 1.6834 |
| 2.644 | 0.0113 | 40 | 1.6503 |
| 1.315 | 0.0141 | 50 | 1.6434 |
| 1.3254 | 0.0169 | 60 | 1.6338 |
| 1.3705 | 0.0198 | 70 | 1.6126 |
| 2.1504 | 0.0226 | 80 | 1.6024 |
| 1.8115 | 0.0254 | 90 | 1.6072 |
| 1.4758 | 0.0282 | 100 | 1.6011 |
| 1.756 | 0.0311 | 110 | 1.6046 |
| 1.4979 | 0.0339 | 120 | 1.6037 |
| 1.3798 | 0.0367 | 130 | 1.5969 |
| 1.4788 | 0.0395 | 140 | 1.6231 |
| 1.1614 | 0.0424 | 150 | 1.6199 |
| 1.3886 | 0.0452 | 160 | 1.6064 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.3.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1 |