|
--- |
|
license: apache-2.0 |
|
base_model: augmxnt/shisa-base-7b-v1 |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
model-index: |
|
- name: shisa-7b-v1-sharegpt |
|
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: augmxnt/shisa-base-7b-v1 |
|
model_type: MistralForCausalLM |
|
tokenizer_type: LlamaTokenizer |
|
|
|
load_in_8bit: false |
|
load_in_4bit: false |
|
strict: false |
|
|
|
hub_model_id: yentinglin/shisa-7b-v1-sharegpt |
|
hub_strategy: end |
|
|
|
datasets: |
|
- path: NTQAI/sharegpt-clean-ja |
|
type: sharegpt |
|
conversation: chatml |
|
|
|
chat_template: chatml |
|
dataset_prepared_path: last_run_prepared |
|
val_set_size: 0 |
|
output_dir: ./output/ja/sft/shisa-7b-v1/sharegpt/ |
|
|
|
sequence_len: 4096 |
|
sample_packing: false |
|
eval_sample_packing: false |
|
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: JA-LLM |
|
wandb_entity: |
|
wandb_watch: |
|
wandb_name: sft-fft-sharegpt-clean-ja |
|
wandb_run_id: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 8 |
|
micro_batch_size: 4 |
|
num_epochs: 4 |
|
optimizer: adamw_bnb_8bit |
|
lr_scheduler: cosine |
|
cosine_min_lr_ratio: 0.1 # decay lr to some percentage of the peak lr, e.g. cosine_min_lr_ratio=0.1 for 10% of peak lr |
|
learning_rate: 1e-5 |
|
adam_beta1: 0.9 |
|
adam_beta2: 0.95 |
|
adam_eps: 0.00001 |
|
max_grad_norm: 1.0 |
|
|
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: false |
|
|
|
gradient_checkpointing: true |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
local_rank: |
|
logging_steps: 5 |
|
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_ratio: 0.02 # cannot use with warmup_steps |
|
evals_per_epoch: 1 |
|
eval_table_size: |
|
save_per_epoch: 1 |
|
save_total_limit: 1 |
|
debug: |
|
deepspeed: deepspeed_configs/zero1.json # multi-gpu only |
|
weight_decay: 0.001 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
|
|
ddp_timeout: 180000 |
|
|
|
special_tokens: |
|
eos_token: "<|im_end|>" |
|
tokens: |
|
- "<|im_start|>" |
|
``` |
|
|
|
</details><br> |
|
|
|
# shisa-7b-v1-sharegpt |
|
|
|
This model is a fine-tuned version of [augmxnt/shisa-base-7b-v1](https://huggingface.co/augmxnt/shisa-base-7b-v1) 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: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 256 |
|
- total_eval_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.0.dev0 |
|
- Pytorch 2.1.2+cu118 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.0 |
|
|
