181 lines
3.8 KiB
Markdown
181 lines
3.8 KiB
Markdown
---
|
|
license: apache-2.0
|
|
library_name: peft
|
|
tags:
|
|
- axolotl
|
|
- generated_from_trainer
|
|
base_model: openchat/openchat-3.5-0106
|
|
model-index:
|
|
- name: newton-lora
|
|
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: openchat/openchat-3.5-0106
|
|
model_type: MistralForCausalLM
|
|
tokenizer_type: LlamaTokenizer
|
|
is_mistral_derived_model: true
|
|
|
|
load_in_8bit: false
|
|
load_in_4bit: true
|
|
strict: false
|
|
|
|
|
|
datasets:
|
|
- path: merged_all.json
|
|
type:
|
|
field_instruction: instruction
|
|
field_output: output
|
|
|
|
format: "GPT4 Correct User: {instruction}<|end_of_turn|>GPT4 Correct Assistant:"
|
|
no_input_format: "GPT4 Correct User: {instruction}<|end_of_turn|>GPT4 Correct Assistant:"
|
|
|
|
|
|
dataset_prepared_path: last_run_prepared
|
|
val_set_size: 0.01 # not sure
|
|
output_dir: ./newton
|
|
|
|
adapter: qlora
|
|
lora_model_dir:
|
|
|
|
sequence_len: 8192
|
|
sample_packing: true
|
|
pad_to_sequence_len: true
|
|
|
|
lora_r: 128
|
|
lora_alpha: 64
|
|
lora_dropout: 0.05
|
|
lora_target_linear: true
|
|
lora_fan_in_fan_out:
|
|
lora_target_modules:
|
|
- gate_proj
|
|
- down_proj
|
|
- up_proj
|
|
- q_proj
|
|
- v_proj
|
|
- k_proj
|
|
- o_proj
|
|
lora_modules_to_save:
|
|
- embed_tokens
|
|
- lm_head
|
|
|
|
wandb_project: huggingface
|
|
wandb_entity:
|
|
wandb_watch:
|
|
wandb_name:
|
|
wandb_log_model:
|
|
|
|
hub_model_id: Weyaxi/newton-lora
|
|
save_safetensors: true
|
|
|
|
# change #
|
|
gradient_accumulation_steps: 12
|
|
micro_batch_size: 6
|
|
num_epochs: 2
|
|
optimizer: adamw_bnb_8bit
|
|
lr_scheduler: cosine
|
|
learning_rate: 0.0002
|
|
# change #
|
|
|
|
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 # not sure
|
|
|
|
saves_per_epoch: 2
|
|
|
|
evals_per_epoch: 4
|
|
eval_table_size:
|
|
eval_table_max_new_tokens: 128
|
|
|
|
debug:
|
|
deepspeed:
|
|
weight_decay: 0.1 # not sure
|
|
fsdp:
|
|
fsdp_config:
|
|
special_tokens:
|
|
bos_token: "<s>"
|
|
eos_token: "</s>"
|
|
unk_token: "<unk>"
|
|
tokens:
|
|
- "<|end_of_turn|>"
|
|
- "<|pad_0|>"
|
|
|
|
|
|
```
|
|
|
|
</details><br>
|
|
|
|
# newton-lora
|
|
|
|
This model is a fine-tuned version of [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106) on the None dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.0800
|
|
|
|
## 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: 6
|
|
- eval_batch_size: 6
|
|
- seed: 42
|
|
- gradient_accumulation_steps: 12
|
|
- total_train_batch_size: 72
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
- lr_scheduler_type: cosine
|
|
- lr_scheduler_warmup_steps: 10
|
|
- num_epochs: 2
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
|
|:-------------:|:-----:|:----:|:---------------:|
|
|
| 0.6925 | 0.02 | 1 | 1.3667 |
|
|
| 0.5622 | 0.25 | 16 | 0.3390 |
|
|
| 0.5269 | 0.5 | 32 | 0.1395 |
|
|
| 0.5343 | 0.75 | 48 | 0.1048 |
|
|
| 0.515 | 1.01 | 64 | 0.0904 |
|
|
| 0.3971 | 1.24 | 80 | 0.0854 |
|
|
| 0.3889 | 1.49 | 96 | 0.0820 |
|
|
| 0.3864 | 1.74 | 112 | 0.0800 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- PEFT 0.7.2.dev0
|
|
- Transformers 4.37.0
|
|
- Pytorch 2.1.2+cu118
|
|
- Datasets 2.16.1
|
|
- Tokenizers 0.15.0 |