|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1 |
|
model-index: |
|
- name: empower-functions-more-tools-staging |
|
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 |
|
adapter: qlora |
|
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1 |
|
bf16: true |
|
chat_template: inst |
|
dataset_prepared_path: last_run_prepared |
|
datasets: |
|
- conversation: mistral |
|
path: ./data/with_function_response/more_functions/function_not_used_training_small.jsonl |
|
type: sharegpt |
|
- conversation: mistral |
|
path: ./data/with_function_response/more_functions/function_used_training_small.jsonl |
|
type: sharegpt |
|
- conversation: mistral |
|
path: ./data/with_function_response/parallel_call/parallel_data_training.jsonl |
|
type: sharegpt |
|
debug: null |
|
eval_max_new_tokens: 256 |
|
eval_steps: 0.05 |
|
eval_table_size: null |
|
flash_attention: true |
|
fp16: false |
|
fsdp: null |
|
fsdp_config: null |
|
gradient_accumulation_steps: 4 |
|
gradient_checkpointing: true |
|
group_by_length: false |
|
hub_model_id: liuylhf/empower-functions-more-tools-staging |
|
learning_rate: 0.0002 |
|
load_in_4bit: true |
|
load_in_8bit: false |
|
logging_steps: 1 |
|
lora_alpha: 64 |
|
lora_dropout: 0.05 |
|
lora_model_dir: null |
|
lora_r: 32 |
|
lora_target_modules: |
|
- q_proj |
|
- k_proj |
|
- v_proj |
|
- o_proj |
|
loss_watchdog_patience: 3 |
|
loss_watchdog_threshold: 5.0 |
|
lr_scheduler: cosine |
|
micro_batch_size: 2 |
|
model_config: |
|
output_router_logits: true |
|
model_type: AutoModelForCausalLM |
|
num_epochs: 2 |
|
optimizer: paged_adamw_8bit |
|
output_dir: 2af0968cad514d6e9d5fb8448230e1c6/model |
|
pad_to_sequence_len: true |
|
sample_packing: true |
|
save_steps: 0.1 |
|
sequence_len: 4096 |
|
strict: false |
|
tf32: false |
|
tokenizer_type: LlamaTokenizer |
|
train_on_inputs: false |
|
trust_remote_code: true |
|
val_set_size: 0.025 |
|
wandb_log_model: end |
|
wandb_name: mixtral-instruct-lora-no-negative |
|
wandb_project: function-call |
|
warmup_steps: 10 |
|
weight_decay: 0.0 |
|
|
|
``` |
|
|
|
</details><br> |
|
|
|
# empower-functions-more-tools-staging |
|
|
|
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0904 |
|
|
|
## 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: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 2 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 16 |
|
- total_eval_batch_size: 4 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.8305 | 0.0 | 1 | 1.9892 | |
|
| 0.1336 | 0.1 | 27 | 0.1444 | |
|
| 0.1006 | 0.2 | 54 | 0.1193 | |
|
| 0.102 | 0.3 | 81 | 0.1120 | |
|
| 0.0798 | 0.41 | 108 | 0.1068 | |
|
| 0.0976 | 0.51 | 135 | 0.1051 | |
|
| 0.1145 | 0.61 | 162 | 0.1021 | |
|
| 0.0984 | 0.71 | 189 | 0.1008 | |
|
| 0.0817 | 0.81 | 216 | 0.1006 | |
|
| 0.0841 | 0.91 | 243 | 0.0971 | |
|
| 0.0983 | 1.02 | 270 | 0.0967 | |
|
| 0.0948 | 1.09 | 297 | 0.0956 | |
|
| 0.093 | 1.2 | 324 | 0.0944 | |
|
| 0.0991 | 1.3 | 351 | 0.0938 | |
|
| 0.072 | 1.4 | 378 | 0.0927 | |
|
| 0.0831 | 1.5 | 405 | 0.0920 | |
|
| 0.0768 | 1.6 | 432 | 0.0912 | |
|
| 0.0915 | 1.7 | 459 | 0.0905 | |
|
| 0.082 | 1.81 | 486 | 0.0906 | |
|
| 0.0702 | 1.91 | 513 | 0.0904 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.9.0 |
|
- Transformers 4.38.2 |
|
- Pytorch 2.2.0+cu121 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.0 |
