|
--- |
|
license: cc-by-sa-4.0 |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
base_model: stabilityai/stablelm-3b-4e1t |
|
model-index: |
|
- name: everything |
|
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: `0.3.0` |
|
```yaml |
|
base_model: stabilityai/stablelm-3b-4e1t |
|
base_model_config: stabilityai/stablelm-3b-4e1t |
|
trust_remote_code: true |
|
model_type: AutoModelForCausalLM |
|
tokenizer_type: GPTNeoXTokenizerFast |
|
|
|
load_in_8bit: false |
|
load_in_4bit: true |
|
strict: false |
|
|
|
datasets: |
|
- path: totally-not-an-llm/EverythingLM-data-V3 |
|
type: alpaca |
|
|
|
dataset_prepared_path: |
|
val_set_size: 0.005 |
|
output_dir: ./everything |
|
|
|
adapter: qlora |
|
|
|
sequence_len: 1024 |
|
sample_packing: false |
|
pad_to_sequence_len: true |
|
save_safetensors: false |
|
|
|
lora_r: 128 |
|
lora_alpha: 256 |
|
lora_dropout: 0.05 |
|
lora_target_linear: false |
|
lora_fan_in_fan_out: |
|
lora_modules_to_save: |
|
- embed_tokens |
|
- lm_head |
|
lora_target_modules: |
|
- q_proj |
|
- v_proj |
|
|
|
gradient_accumulation_steps: 1 |
|
micro_batch_size: 16 |
|
num_epochs: 5 |
|
optimizer: paged_adamw_32bit |
|
lr_scheduler: cosine |
|
learning_rate: 0.00005 |
|
|
|
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 |
|
|
|
warmup_steps: 10 |
|
evals_per_epoch: 1 |
|
eval_table_size: |
|
saves_per_epoch: 1 |
|
debug: |
|
deepspeed: |
|
weight_decay: 0.0 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
bos_token: "<|endoftext|>" |
|
eos_token: "<|im_end|>" |
|
unk_token: "<|endoftext|>" |
|
tokens: |
|
- "<|im_start|>" |
|
- "<|im_end|>" |
|
|
|
``` |
|
|
|
</details><br> |
|
|
|
# everything |
|
|
|
This model is a fine-tuned version of [stabilityai/stablelm-3b-4e1t](https://huggingface.co/stabilityai/stablelm-3b-4e1t) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8096 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
|
|
The following `bitsandbytes` quantization config was used during training: |
|
- quant_method: bitsandbytes |
|
- load_in_8bit: False |
|
- load_in_4bit: True |
|
- llm_int8_threshold: 6.0 |
|
- llm_int8_skip_modules: None |
|
- llm_int8_enable_fp32_cpu_offload: False |
|
- llm_int8_has_fp16_weight: False |
|
- bnb_4bit_quant_type: nf4 |
|
- bnb_4bit_use_double_quant: True |
|
- bnb_4bit_compute_dtype: bfloat16 |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 5e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 10 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.3873 | 0.02 | 1 | 1.6256 | |
|
| 1.1399 | 1.0 | 60 | 0.8263 | |
|
| 1.5717 | 2.0 | 120 | 0.8054 | |
|
| 0.6861 | 3.0 | 180 | 0.8149 | |
|
| 0.9527 | 4.0 | 240 | 0.8036 | |
|
| 0.5738 | 5.0 | 300 | 0.8096 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.0 |
|
- Transformers 4.37.0.dev0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
