|
--- |
|
license: apache-2.0 |
|
base_model: mistralai/Mistral-7B-v0.1 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: out |
|
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. --> |
|
|
|
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/645cfe4603fc86c46b3e46d1/FXt-g2q8JE-l77_gp23T3.jpeg) |
|
|
|
## NeuralNovel/Senzu-7B-v0.1 |
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the Neural-DPO, metamath_gsm8k and RPGPT_PublicDomain-alpaca dataset. |
|
|
|
```yaml |
|
base_model: mistralai/Mistral-7B-v0.1 |
|
model_type: AutoModelForCausalLM |
|
tokenizer_type: AutoTokenizer |
|
is_mistral_derived_model: true |
|
|
|
load_in_8bit: false |
|
load_in_4bit: false |
|
strict: false |
|
|
|
datasets: |
|
- path: practical-dreamer/RPGPT_PublicDomain-alpaca |
|
type: alpaca |
|
format: "[INST] {instruction} [/INST]" |
|
no_input_format: "[INST] {instruction} [/INST]" |
|
|
|
datasets: |
|
- path: shuyuej/metamath_gsm8k |
|
type: jeopardy |
|
format: "[INST] {instruction} [/INST]" |
|
no_input_format: "[INST] {instruction} [/INST]" |
|
|
|
datasets: |
|
- path: NeuralNovel/Neural-DPO |
|
type: |
|
system_prompt: "" |
|
field_system: system |
|
field_instruction: chosen |
|
field_output: chosen |
|
format: "[INST] {instruction} [/INST]" |
|
no_input_format: "[INST] {instruction} [/INST]" |
|
|
|
dataset_prepared_path: |
|
val_set_size: 0.05 |
|
output_dir: ./out |
|
|
|
sequence_len: 8192 |
|
sample_packing: false |
|
pad_to_sequence_len: true |
|
eval_sample_packing: false |
|
|
|
wandb_project: |
|
wandb_entity: |
|
wandb_watch: |
|
wandb_name: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 4 |
|
micro_batch_size: 2 |
|
num_epochs: 1 |
|
optimizer: adamw_bnb_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 0.000005 |
|
|
|
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: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
|
|
warmup_steps: 10 |
|
evals_per_epoch: 4 |
|
eval_table_size: |
|
eval_max_new_tokens: 128 |
|
saves_per_epoch: 0 |
|
debug: |
|
deepspeed: |
|
weight_decay: 0.0 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
bos_token: "<s>" |
|
eos_token: "</s>" |
|
unk_token: "<unk>" |
|
|
|
``` |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 5e-06 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 10 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.2061 | 0.01 | 1 | 0.3139 | |
|
| 0.0 | 0.25 | 32 | 0.0000 | |
|
| 0.0 | 0.5 | 64 | 0.0010 | |
|
| 0.0 | 0.76 | 96 | 0.0000 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.0.dev0 |
|
- Pytorch 2.2.0+cu121 |
|
- Datasets 2.17.1 |
|
- Tokenizers 0.15.0 |
|
|