---
library_name: transformers
license: llama3
base_model: arcee-ai/Llama-3.1-SuperNova-Lite
tags:
- generated_from_trainer
model-index:
- name: henbane-8b-r3
  results: []
---
### exl2 quant (measurement.json in main branch)
---
### check revisions for quants
---


<!-- 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
base_model: arcee-ai/Llama-3.1-SuperNova-Lite
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

#trust_remote_code: true

plugins:
  - axolotl.integrations.liger.LigerPlugin
liger_rope: true
liger_rms_norm: true
liger_swiglu: true
liger_fused_linear_cross_entropy: true

load_in_8bit: false
load_in_4bit: false
strict: false

datasets:
  - path: Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
    type: chat_template
  - path: Nitral-AI/Cybersecurity-ShareGPT
    type: chat_template
  - path: Nitral-AI/Medical_Instruct-ShareGPT
    type: chat_template
  - path: Nitral-AI/Olympiad_Math-ShareGPT
    type: chat_template
  - path: anthracite-org/kalo_opus_misc_240827
    type: chat_template
  - path: NewEden/Claude-Instruct-5k
    type: chat_template
  - path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
    type: chat_template
  - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
    type: chat_template
  - path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
    type: chat_template
  - path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
    type: chat_template
  - path: anthracite-org/kalo_misc_part2
    type: chat_template
  - path: anthracite-org/kalo_misc_part2
    type: chat_template
  - path: Nitral-AI/Creative_Writing-ShareGPT
    type: chat_template
  - path: NewEden/Gryphe-Sonnet3.5-Charcard-Roleplay-unfiltered
    type: chat_template

chat_template: llama3
shuffle_merged_datasets: true
default_system_message: "You are an assistant that responds to the user."
dataset_prepared_path: prepared_dataset_memorycore
val_set_size: 0.0
output_dir: ./henbane-8b-r3

sequence_len: 8192
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len:

adapter:
lora_model_dir:
lora_r:
lora_alpha:
lora_dropout:
lora_target_linear:
lora_fan_in_fan_out:

wandb_project: henbane-8b-r3
wandb_entity:
wandb_watch:
wandb_name: henbane-8b-r3
wandb_log_model:

gradient_accumulation_steps: 32
micro_batch_size: 1
num_epochs: 2
optimizer: paged_adamw_8bit
lr_scheduler: cosine
#learning_rate: 3e-5
learning_rate: 1e-5

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: false
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true

warmup_steps: 5
evals_per_epoch:
eval_table_size:
eval_max_new_tokens:
saves_per_epoch: 2
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero2.json
weight_decay: 0.05
fsdp:
fsdp_config:
special_tokens:
  pad_token: <|finetune_right_pad_id|>
  eos_token: <|eot_id|>




```

</details><br>

# henbane-8b-r3

This model is a fine-tuned version of [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) on the None dataset.

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 2

### Training results



### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1