|
--- |
|
base_model: Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP-ql-merge |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: outputs/newdataset-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. --> |
|
|
|
[<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 |
|
base_model: Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP-ql-merge |
|
model_type: LlamaForCausalLM |
|
tokenizer_type: AutoTokenizer |
|
|
|
load_in_8bit: false |
|
load_in_4bit: true |
|
strict: false |
|
|
|
chat_template: llama3 |
|
datasets: |
|
- path: Fischerboot/newnewdataset-sophie |
|
type: sharegpt |
|
conversation: llama3 |
|
dataset_prepared_path: last_run_prepared |
|
val_set_size: 0.1 |
|
output_dir: ./outputs/newdataset-out |
|
|
|
adapter: qlora |
|
lora_model_dir: |
|
|
|
sequence_len: 128 |
|
sample_packing: false |
|
pad_to_sequence_len: true |
|
|
|
lora_r: 1024 |
|
lora_alpha: 512 |
|
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 |
|
|
|
wandb_project: |
|
wandb_entity: |
|
wandb_watch: |
|
wandb_name: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 1 |
|
micro_batch_size: 1 |
|
num_epochs: 8 |
|
optimizer: adamw_bnb_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 0.0002 |
|
|
|
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 |
|
|
|
loss_watchdog_threshold: 5.0 |
|
loss_watchdog_patience: 3 |
|
|
|
eval_sample_packing: false |
|
warmup_steps: 10 |
|
evals_per_epoch: 4 |
|
eval_table_size: |
|
eval_max_new_tokens: 128 |
|
saves_per_epoch: 1 |
|
debug: |
|
deepspeed: |
|
weight_decay: 0.0 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
bos_token: "<|begin_of_text|>" |
|
eos_token: "<|end_of_text|>" |
|
pad_token: "<|end_of_text|>" |
|
|
|
``` |
|
|
|
</details><br> |
|
|
|
# outputs/newdataset-out |
|
|
|
This model is a fine-tuned version of [Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP-ql-merge](https://huggingface.co/Fischerboot/LLama3-Lexi-Aura-3Some-SLERP-SLERP-ql-merge) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2792 |
|
|
|
## 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: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 10 |
|
- num_epochs: 8 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 6.3499 | 0.0034 | 1 | 6.0611 | |
|
| 1.4549 | 0.2526 | 74 | 1.8669 | |
|
| 0.4942 | 0.5051 | 148 | 0.5161 | |
|
| 0.5932 | 0.7577 | 222 | 1.2850 | |
|
| 0.8581 | 1.0102 | 296 | 0.7266 | |
|
| 1.1222 | 1.2628 | 370 | 0.3729 | |
|
| 0.4354 | 1.5154 | 444 | 0.4699 | |
|
| 0.6122 | 1.7679 | 518 | 0.6806 | |
|
| 0.7419 | 2.0205 | 592 | 0.8912 | |
|
| 2.7271 | 2.2730 | 666 | 1.2924 | |
|
| 0.93 | 2.5256 | 740 | 0.8516 | |
|
| 0.7029 | 2.7782 | 814 | 0.5884 | |
|
| 0.5606 | 3.0307 | 888 | 0.5291 | |
|
| 0.4365 | 3.2833 | 962 | 0.8004 | |
|
| 0.2466 | 3.5358 | 1036 | 0.3922 | |
|
| 0.6039 | 3.7884 | 1110 | 0.3917 | |
|
| 0.1796 | 4.0410 | 1184 | 0.3216 | |
|
| 0.3061 | 4.2935 | 1258 | 0.4309 | |
|
| 0.7083 | 4.5461 | 1332 | 0.4010 | |
|
| 0.3891 | 4.7986 | 1406 | 0.3268 | |
|
| 0.331 | 5.0512 | 1480 | 0.3360 | |
|
| 0.3014 | 5.3038 | 1554 | 0.2963 | |
|
| 0.125 | 5.5563 | 1628 | 0.3096 | |
|
| 0.3207 | 5.8089 | 1702 | 0.3020 | |
|
| 0.2809 | 6.0614 | 1776 | 0.2849 | |
|
| 1.5804 | 6.3140 | 1850 | 0.2801 | |
|
| 0.4681 | 6.5666 | 1924 | 0.2826 | |
|
| 0.2527 | 6.8191 | 1998 | 0.2793 | |
|
| 0.2207 | 7.0717 | 2072 | 0.2787 | |
|
| 0.2498 | 7.3242 | 2146 | 0.2799 | |
|
| 0.1927 | 7.5768 | 2220 | 0.2798 | |
|
| 0.415 | 7.8294 | 2294 | 0.2792 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.1 |
|
- Pytorch 2.1.2+cu118 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
