|
--- |
|
library_name: transformers |
|
license: other |
|
base_model: FourOhFour/Crispy_Crab_4B |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
model-index: |
|
- name: personal4B |
|
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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
|
<details><summary>See axolotl config</summary> |
|
|
|
axolotl version: `0.4.1` |
|
```yaml |
|
base_model: FourOhFour/Crispy_Crab_4B |
|
model_type: AutoModelForCausalLM |
|
tokenizer_type: AutoTokenizer |
|
|
|
load_in_8bit: false |
|
load_in_4bit: false |
|
strict: false |
|
|
|
hub_model_id: jeiku/personal4B |
|
hub_strategy: "all_checkpoints" |
|
push_dataset_to_hub: |
|
hf_use_auth_token: true |
|
|
|
datasets: |
|
- path: jeiku/Hypno_ChatML |
|
type: sharegpt |
|
conversation: chatml |
|
- path: jeiku/Soul_ChatML |
|
type: sharegpt |
|
conversation: chatml |
|
- path: jeiku/Theory_Chat |
|
type: sharegpt |
|
conversation: chatml |
|
- path: jeiku/Writing |
|
type: completion |
|
field: text |
|
|
|
chat_template: chatml |
|
|
|
shuffle_merged_datasets: true |
|
val_set_size: 0.0025 |
|
output_dir: ./outputs/out |
|
|
|
adapter: |
|
lora_r: |
|
lora_alpha: |
|
lora_dropout: |
|
lora_target_linear: |
|
|
|
sequence_len: 8192 |
|
sample_packing: true |
|
eval_sample_packing: false |
|
pad_to_sequence_len: true |
|
|
|
plugins: |
|
- axolotl.integrations.liger.LigerPlugin |
|
liger_rope: true |
|
liger_rms_norm: true |
|
liger_swiglu: true |
|
liger_fused_linear_cross_entropy: true |
|
|
|
wandb_project: EXP4B |
|
wandb_entity: |
|
wandb_watch: |
|
wandb_name: EXP4B |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 12 |
|
micro_batch_size: 2 |
|
num_epochs: 4 |
|
optimizer: adamw_bnb_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 0.00001 |
|
weight_decay: 0.05 |
|
|
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: true |
|
|
|
gradient_checkpointing: true |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
local_rank: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
|
|
warmup_ratio: 0.1 |
|
evals_per_epoch: 2 |
|
eval_table_size: |
|
eval_max_new_tokens: 128 |
|
saves_per_epoch: 1 |
|
|
|
debug: |
|
deepspeed: |
|
fsdp: |
|
fsdp_config: |
|
|
|
special_tokens: |
|
pad_token: <|finetune_right_pad_id|> |
|
|
|
``` |
|
|
|
</details><br> |
|
|
|
# personal4B |
|
|
|
This model is a fine-tuned version of [FourOhFour/Crispy_Crab_4B](https://huggingface.co/FourOhFour/Crispy_Crab_4B) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.9273 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 2 |
|
- gradient_accumulation_steps: 12 |
|
- total_train_batch_size: 48 |
|
- total_eval_batch_size: 4 |
|
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: cosine |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 2.1634 | 0.8571 | 1 | 2.0454 | |
|
| 2.0907 | 1.7143 | 2 | 1.9455 | |
|
| 1.9539 | 2.5714 | 3 | 1.9296 | |
|
| 1.9493 | 3.4286 | 4 | 1.9273 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.46.0.dev0 |
|
- Pytorch 2.4.1+cu124 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.1 |
|
|
