|
|
--- |
|
|
library_name: peft |
|
|
license: gemma |
|
|
base_model: google/gemma-3n-E2B-it |
|
|
tags: |
|
|
- axolotl |
|
|
- base_model:adapter:google/gemma-3n-E2B-it |
|
|
- lora |
|
|
- transformers |
|
|
datasets: |
|
|
- sudoping01/bambara-instructions |
|
|
pipeline_tag: text-generation |
|
|
model-index: |
|
|
- name: bambara-llm-exp3 |
|
|
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: `0.12.2` |
|
|
```yaml |
|
|
base_model: google/gemma-3n-E2B-it |
|
|
hub_model_id: sudoping01/bambara-llm-exp3 |
|
|
plugins: |
|
|
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
|
|
cut_cross_entropy: true |
|
|
load_in_4bit: false |
|
|
gradient_checkpointing: true |
|
|
gradient_checkpointing_kwargs: |
|
|
use_reentrant: false |
|
|
ddp: true |
|
|
chat_template: gemma3n |
|
|
eot_tokens: |
|
|
- <end_of_turn> |
|
|
special_tokens: |
|
|
eot_token: <end_of_turn> |
|
|
datasets: |
|
|
- path: sudoping01/bambara-instructions |
|
|
type: chat_template |
|
|
split: train |
|
|
name: cleaned |
|
|
field_messages: messages |
|
|
message_property_mappings: |
|
|
role: role |
|
|
content: content |
|
|
val_set_size: 0.01 |
|
|
output_dir: ./outputs/bambara-gemma3n-lora-exp4 |
|
|
adapter: lora |
|
|
lora_r: 64 |
|
|
lora_alpha: 128 |
|
|
lora_dropout: 0.05 |
|
|
lora_target_modules: 'model.language_model.layers.[\d]+.(mlp|self_attn).(up|down|gate|q|k|v|o)_proj' |
|
|
sequence_len: 4096 |
|
|
sample_packing: false |
|
|
pad_to_sequence_len: false |
|
|
micro_batch_size: 8 |
|
|
gradient_accumulation_steps: 2 |
|
|
num_epochs: 3 |
|
|
optimizer: adamw_8bit |
|
|
lr_scheduler: cosine |
|
|
learning_rate: 1.2e-4 |
|
|
warmup_ratio: 0.03 |
|
|
weight_decay: 0.01 |
|
|
bf16: auto |
|
|
tf32: false |
|
|
logging_steps: 10 |
|
|
saves_per_epoch: 2 |
|
|
evals_per_epoch: 2 |
|
|
``` |
|
|
|
|
|
</details><br> |
|
|
|
|
|
# bambara-llm-exp3 |
|
|
|
|
|
This model is a fine-tuned version of [google/gemma-3n-E2B-it](https://huggingface.co/google/gemma-3n-E2B-it) on the sudoping01/bambara-instructions dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.4952 |
|
|
- Memory/max Mem Active(gib): 57.85 |
|
|
- Memory/max Mem Allocated(gib): 57.85 |
|
|
- Memory/device Mem Reserved(gib): 59.82 |
|
|
|
|
|
## 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: 0.00012 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- distributed_type: multi-GPU |
|
|
- num_devices: 8 |
|
|
- gradient_accumulation_steps: 2 |
|
|
- total_train_batch_size: 128 |
|
|
- total_eval_batch_size: 64 |
|
|
- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_steps: 633 |
|
|
- training_steps: 21126 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Mem Active(gib) | Mem Allocated(gib) | Mem Reserved(gib) | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:---------------:|:------------------:|:-----------------:| |
|
|
| No log | 0 | 0 | 7.4595 | 19.86 | 19.86 | 20.35 | |
|
|
| 0.8265 | 0.5 | 3521 | 0.7787 | 57.85 | 57.85 | 59.82 | |
|
|
| 0.7107 | 1.0 | 7042 | 0.6745 | 57.85 | 57.85 | 59.82 | |
|
|
| 0.6363 | 1.5 | 10563 | 0.6026 | 57.85 | 57.85 | 59.82 | |
|
|
| 0.5421 | 2.0 | 14084 | 0.5429 | 57.85 | 57.85 | 59.82 | |
|
|
| 0.5733 | 2.5 | 17605 | 0.5039 | 57.85 | 57.85 | 59.82 | |
|
|
| 0.5401 | 3.0 | 21126 | 0.4952 | 57.85 | 57.85 | 59.82 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.17.0 |
|
|
- Transformers 4.55.2 |
|
|
- Pytorch 2.6.0+cu124 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.21.4 |
