|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
base_model: mistralai/Mixtral-8x7B-v0.1 |
|
model-index: |
|
- name: Mixtral-8x7b-Remixtral |
|
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: mistralai/Mixtral-8x7B-v0.1 |
|
model_type: AutoModelForCausalLM |
|
tokenizer_type: LlamaTokenizer |
|
trust_remote_code: true |
|
|
|
load_in_8bit: false |
|
load_in_4bit: true |
|
strict: false |
|
|
|
datasets: |
|
- path: Open-Orca/SlimOrca |
|
type: sharegpt |
|
conversation: chatml |
|
dataset_prepared_path: last_run_prepared |
|
val_set_size: 0.005 |
|
output_dir: /wb-mixtral/slimorca-mixstral-8x7b |
|
save_total_limit: 1 |
|
hub_model_id: |
|
dataloader_num_workers: 8 |
|
dataloader_prefetch_factor: 4 |
|
dataloader_pin_memory: true |
|
|
|
adapter: qlora |
|
lora_model_dir: |
|
|
|
sequence_len: 8192 |
|
sample_packing: true |
|
pad_to_sequence_len: true |
|
|
|
lora_r: 64 |
|
lora_alpha: 32 |
|
lora_dropout: 0.1 |
|
lora_fan_in_fan_out: |
|
lora_modules_to_save: |
|
- lm_head |
|
- embed_tokens |
|
lora_target_linear: true |
|
|
|
wandb_project: mixtral |
|
wandb_entity: capecape |
|
wandb_watch: |
|
wandb_name: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 1 |
|
micro_batch_size: 4 |
|
num_epochs: 2 |
|
optimizer: paged_adamw_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 0.001 |
|
adam_beta2: 0.95 |
|
adam_epsilon: 0.00001 |
|
max_grad_norm: 1.0 |
|
|
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: true |
|
fp16: false |
|
tf32: true |
|
|
|
gradient_checkpointing: true |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
local_rank: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
|
|
warmup_steps: 100 |
|
eval_steps: 0.05 |
|
save_steps: 0.25 |
|
debug: |
|
deepspeed: |
|
weight_decay: 0.1 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
eos_token: "<|im_end|>" |
|
tokens: |
|
- "<|im_start|>" |
|
|
|
``` |
|
|
|
</details><br> |
|
|
|
# Mixtral-8x7b-Remixtral |
|
|
|
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on an unknown 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: 0.001 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 32 |
|
- total_eval_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 25 |
|
- num_epochs: 2 |
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.0.dev0 |
|
- Pytorch 2.1.1+cu118 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
|
## 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 |
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.6.0 |
|
|
