|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T |
|
model-index: |
|
- name: isafpr-tiny-llama-lora-sharegpt |
|
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: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T |
|
model_type: LlamaForCausalLM |
|
tokenizer_type: LlamaTokenizer |
|
|
|
load_in_8bit: false |
|
# I'm training on 4090 GPUs |
|
# so I'm using 4-bit precision to save on memory |
|
load_in_4bit: true |
|
strict: false |
|
|
|
data_seed: 42 |
|
seed: 42 |
|
|
|
datasets: |
|
- path: data/sharegpt_isaf_press_releases_ft_train.jsonl |
|
type: sharegpt |
|
conversation: alpaca |
|
dataset_prepared_path: |
|
val_set_size: 0.1 |
|
output_dir: ./outputs/tiny-llama/lora-out-sharegpt |
|
hub_model_id: strickvl/isafpr-tiny-llama-lora-sharegpt |
|
|
|
sequence_len: 4096 |
|
sample_packing: true |
|
eval_sample_packing: false |
|
pad_to_sequence_len: true |
|
|
|
adapter: lora |
|
lora_model_dir: |
|
lora_r: 32 |
|
lora_alpha: 16 |
|
lora_dropout: 0.05 |
|
lora_target_linear: true |
|
lora_fan_in_fan_out: |
|
|
|
wandb_project: isaf_pr_ft |
|
wandb_entity: strickvl |
|
wandb_watch: |
|
wandb_name: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 4 |
|
micro_batch_size: 2 |
|
num_epochs: 4 |
|
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 |
|
|
|
warmup_steps: 10 |
|
evals_per_epoch: 4 |
|
saves_per_epoch: 1 |
|
debug: |
|
deepspeed: |
|
weight_decay: 0.0 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
bos_token: "<s>" |
|
eos_token: "</s>" |
|
|
|
``` |
|
|
|
</details><br> |
|
|
|
# isafpr-tiny-llama-lora-sharegpt |
|
|
|
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0507 |
|
|
|
## 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: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.7687 | 0.0270 | 1 | 1.7719 | |
|
| 1.0632 | 0.2703 | 10 | 0.9033 | |
|
| 0.1374 | 0.5405 | 20 | 0.1365 | |
|
| 0.0763 | 0.8108 | 30 | 0.0942 | |
|
| 0.0752 | 1.0608 | 40 | 0.0765 | |
|
| 0.0764 | 1.3311 | 50 | 0.0680 | |
|
| 0.0623 | 1.6014 | 60 | 0.0630 | |
|
| 0.0596 | 1.8716 | 70 | 0.0593 | |
|
| 0.0523 | 2.1216 | 80 | 0.0570 | |
|
| 0.0514 | 2.3919 | 90 | 0.0543 | |
|
| 0.0501 | 2.6622 | 100 | 0.0528 | |
|
| 0.0475 | 2.9324 | 110 | 0.0515 | |
|
| 0.0525 | 3.1824 | 120 | 0.0511 | |
|
| 0.0436 | 3.4527 | 130 | 0.0509 | |
|
| 0.0508 | 3.7230 | 140 | 0.0507 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
