|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
base_model: heegyu/WizardVicuna-open-llama-3b-v2 |
|
model-index: |
|
- name: f04e564d-fd64-4ad3-b850-847879330a35 |
|
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: `0.4.1` |
|
```yaml |
|
adapter: lora |
|
base_model: heegyu/WizardVicuna-open-llama-3b-v2 |
|
bf16: auto |
|
datasets: |
|
- data_files: |
|
- c80922e5615264fa_train_data.json |
|
ds_type: json |
|
format: custom |
|
path: c80922e5615264fa_train_data.json |
|
type: |
|
field: null |
|
field_input: input |
|
field_instruction: instruction |
|
field_output: output |
|
field_system: null |
|
format: null |
|
no_input_format: null |
|
system_format: '{system}' |
|
system_prompt: '' |
|
debug: null |
|
deepspeed: null |
|
early_stopping_patience: null |
|
eval_max_new_tokens: 128 |
|
eval_sample_packing: false |
|
eval_table_size: null |
|
evals_per_epoch: 2 |
|
flash_attention: true |
|
fp16: null |
|
fsdp: null |
|
fsdp_config: null |
|
gradient_accumulation_steps: 4 |
|
gradient_checkpointing: true |
|
group_by_length: false |
|
hub_model_id: taopanda/f04e564d-fd64-4ad3-b850-847879330a35 |
|
learning_rate: 0.0002 |
|
load_in_4bit: false |
|
load_in_8bit: true |
|
local_rank: null |
|
logging_steps: 1 |
|
lora_alpha: 16 |
|
lora_dropout: 0.05 |
|
lora_r: 32 |
|
lora_target_linear: true |
|
lr_scheduler: cosine |
|
micro_batch_size: 2 |
|
model_type: AutoModelForCausalLM |
|
num_epochs: 2 |
|
optimizer: adamw_bnb_8bit |
|
output_dir: ./outputs/out/taopanda-3_db77949d-e35c-457a-8370-2bfddc5702da |
|
pad_to_sequence_len: true |
|
resume_from_checkpoint: null |
|
sample_packing: true |
|
saves_per_epoch: 1 |
|
seed: 68605 |
|
sequence_len: 4096 |
|
special_tokens: |
|
pad_token: </s> |
|
strict: false |
|
tf32: false |
|
tokenizer_type: AutoTokenizer |
|
train_on_inputs: false |
|
trust_remote_code: true |
|
val_set_size: 0.1 |
|
wandb_entity: fatcat87-taopanda |
|
wandb_log_model: null |
|
wandb_mode: online |
|
wandb_name: taopanda-3_db77949d-e35c-457a-8370-2bfddc5702da |
|
wandb_project: subnet56 |
|
wandb_runid: taopanda-3_db77949d-e35c-457a-8370-2bfddc5702da |
|
wandb_watch: null |
|
warmup_ratio: 0.05 |
|
weight_decay: 0.0 |
|
xformers_attention: null |
|
|
|
``` |
|
|
|
</details><br> |
|
|
|
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/fatcat87-taopanda/subnet56/runs/cl340gnn) |
|
# f04e564d-fd64-4ad3-b850-847879330a35 |
|
|
|
This model is a fine-tuned version of [heegyu/WizardVicuna-open-llama-3b-v2](https://huggingface.co/heegyu/WizardVicuna-open-llama-3b-v2) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.2477 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 2 |
|
- seed: 68605 |
|
- distributed_type: multi-GPU |
|
- num_devices: 4 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 32 |
|
- total_eval_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- num_epochs: 2 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.4539 | 0.1212 | 1 | 1.4461 | |
|
| 1.3463 | 0.4848 | 4 | 1.3584 | |
|
| 1.258 | 0.9697 | 8 | 1.2859 | |
|
| 1.2372 | 1.3939 | 12 | 1.2540 | |
|
| 1.2207 | 1.8788 | 16 | 1.2477 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.42.3 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
