---
license: other
base_model: stabilityai/stablelm-2-1_6b
tags:
- generated_from_trainer
model-index:
- name: stablelm_1-6b_ContextSplitter
  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
<details><summary>See axolotl config</summary>

axolotl version: `0.4.0`
```yaml
base_model: stabilityai/stablelm-2-1_6b
base_model_config: stabilityai/stablelm-2-1_6b
model_type: StableLMEpochForCausalLM
tokenizer_type: AutoTokenizer

trust_remote_code: true

load_in_8bit: false
load_in_4bit: false
strict: false

datasets:
  - path: /run/media/username/Storage/datasets/repo/alpaca/context-aware-splits-english_new.json
    type: alpaca

dataset_prepared_path: stablelm_1-6b_ContextSplitter_data
val_set_size: 0.02
output_dir: ./stablelm_1-6b_ContextSplitter

sequence_len: 4096 
sample_packing: true
pad_to_sequence_len: true

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

wandb_project: stablelm_1-6b_ContextSplitter
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:

gradient_accumulation_steps: 1
micro_batch_size: 1
num_epochs: 1
optimizer: paged_adamw_32bit
lr_scheduler: cosine
learning_rate: 0.00001

train_on_inputs: false
group_by_length: false
bf16: true 
fp16: false
tf32: false

gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
flash_attn_cross_entropy: false
flash_attn_rms_norm: true
flash_attn_fuse_qkv: false
flash_attn_fuse_mlp: true

warmup_steps: 100
evals_per_epoch: 30
eval_table_size:
saves_per_epoch: 4
debug:
deepspeed: #deepspeed_configs/zero2.json # multi-gpu only
weight_decay: 0.1
fsdp:
fsdp_config:
special_tokens:
```

</details><br>

# stablelm_1-6b_ContextSplitter

This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilityai/stablelm-2-1_6b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0377

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1781        | 0.0   | 1    | 0.2283          |
| 0.0709        | 0.03  | 248  | 0.0589          |
| 0.0274        | 0.07  | 496  | 0.0512          |
| 0.0614        | 0.1   | 744  | 0.0480          |
| 0.0266        | 0.13  | 992  | 0.0466          |
| 0.0471        | 0.17  | 1240 | 0.0440          |
| 0.0425        | 0.2   | 1488 | 0.0435          |
| 0.1172        | 0.23  | 1736 | 0.0423          |
| 0.0322        | 0.27  | 1984 | 0.0415          |
| 0.0529        | 0.3   | 2232 | 0.0413          |
| 0.0296        | 0.33  | 2480 | 0.0409          |
| 0.0357        | 0.37  | 2728 | 0.0398          |
| 0.0242        | 0.4   | 2976 | 0.0394          |
| 0.0266        | 0.43  | 3224 | 0.0391          |
| 0.0292        | 0.47  | 3472 | 0.0386          |
| 0.0261        | 0.5   | 3720 | 0.0386          |
| 0.0382        | 0.53  | 3968 | 0.0383          |
| 0.0378        | 0.57  | 4216 | 0.0383          |
| 0.0345        | 0.6   | 4464 | 0.0379          |
| 0.0467        | 0.64  | 4712 | 0.0379          |
| 0.0542        | 0.67  | 4960 | 0.0378          |
| 0.0317        | 0.7   | 5208 | 0.0378          |
| 0.0363        | 0.74  | 5456 | 0.0377          |
| 0.054         | 0.77  | 5704 | 0.0377          |
| 0.0207        | 0.8   | 5952 | 0.0377          |
| 0.0302        | 0.84  | 6200 | 0.0377          |
| 0.0427        | 0.87  | 6448 | 0.0377          |
| 0.0278        | 0.9   | 6696 | 0.0377          |
| 0.0648        | 0.94  | 6944 | 0.0377          |
| 0.0497        | 0.97  | 7192 | 0.0377          |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0