|
|
--- |
|
|
library_name: transformers |
|
|
license: cc-by-nc-4.0 |
|
|
base_model: hardlyworking/4Bcpt |
|
|
tags: |
|
|
- axolotl |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- GreenerPastures/All-Your-Base-Full |
|
|
model-index: |
|
|
- name: 4Brp |
|
|
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: `0.11.0.dev0` |
|
|
```yaml |
|
|
base_model: hardlyworking/4Bcpt |
|
|
|
|
|
load_in_8bit: false |
|
|
load_in_4bit: false |
|
|
strict: false |
|
|
|
|
|
chat_template: chatml |
|
|
datasets: |
|
|
- path: GreenerPastures/All-Your-Base-Full |
|
|
type: chat_template |
|
|
split: train |
|
|
field_messages: conversations |
|
|
message_property_mappings: |
|
|
role: from |
|
|
content: value |
|
|
val_set_size: 0.02 |
|
|
output_dir: ./outputs/out |
|
|
dataset_prepared_path: last_run_prepared |
|
|
shuffle_merged_datasets: true |
|
|
|
|
|
hub_model_id: hardlyworking/4Brp |
|
|
hub_strategy: "all_checkpoints" |
|
|
push_dataset_to_hub: |
|
|
hf_use_auth_token: true |
|
|
|
|
|
plugins: |
|
|
- axolotl.integrations.liger.LigerPlugin |
|
|
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
|
|
liger_rope: true |
|
|
liger_rms_norm: true |
|
|
liger_layer_norm: true |
|
|
liger_glu_activation: true |
|
|
liger_fused_linear_cross_entropy: false |
|
|
cut_cross_entropy: true |
|
|
|
|
|
sequence_len: 32768 |
|
|
sample_packing: true |
|
|
eval_sample_packing: true |
|
|
pad_to_sequence_len: true |
|
|
|
|
|
wandb_project: New4B |
|
|
wandb_entity: |
|
|
wandb_watch: |
|
|
wandb_name: New4Brp |
|
|
wandb_log_model: |
|
|
|
|
|
evals_per_epoch: 8 |
|
|
eval_table_size: |
|
|
eval_max_new_tokens: 128 |
|
|
|
|
|
gradient_accumulation_steps: 2 |
|
|
micro_batch_size: 8 |
|
|
num_epochs: 2 |
|
|
optimizer: adamw_bnb_8bit |
|
|
lr_scheduler: cosine |
|
|
learning_rate: 1e-5 |
|
|
|
|
|
train_on_inputs: false |
|
|
group_by_length: false |
|
|
bf16: auto |
|
|
fp16: |
|
|
tf32: false |
|
|
|
|
|
gradient_checkpointing: offload |
|
|
gradient_checkpointing_kwargs: |
|
|
use_reentrant: false |
|
|
early_stopping_patience: |
|
|
resume_from_checkpoint: |
|
|
local_rank: |
|
|
logging_steps: 1 |
|
|
xformers_attention: |
|
|
flash_attention: true |
|
|
s2_attention: |
|
|
|
|
|
deepspeed: |
|
|
|
|
|
warmup_ratio: 0.05 |
|
|
saves_per_epoch: 1 |
|
|
debug: |
|
|
weight_decay: 0.01 |
|
|
fsdp: |
|
|
fsdp_config: |
|
|
special_tokens: |
|
|
pad_token: <|endoftext|> |
|
|
``` |
|
|
|
|
|
</details><br> |
|
|
|
|
|
# 4Brp |
|
|
|
|
|
This model is a fine-tuned version of [hardlyworking/4Bcpt](https://huggingface.co/hardlyworking/4Bcpt) on the GreenerPastures/All-Your-Base-Full dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.9183 |
|
|
|
|
|
## 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: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 2 |
|
|
- total_train_batch_size: 16 |
|
|
- 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 |
|
|
- lr_scheduler_warmup_steps: 57 |
|
|
- training_steps: 1148 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:------:|:----:|:---------------:| |
|
|
| No log | 0 | 0 | 1.1370 | |
|
|
| 1.0053 | 0.1253 | 72 | 0.9893 | |
|
|
| 0.9679 | 0.2507 | 144 | 0.9576 | |
|
|
| 0.966 | 0.3760 | 216 | 0.9440 | |
|
|
| 0.9397 | 0.5013 | 288 | 0.9358 | |
|
|
| 0.9563 | 0.6266 | 360 | 0.9300 | |
|
|
| 0.9034 | 0.7520 | 432 | 0.9259 | |
|
|
| 0.9214 | 0.8773 | 504 | 0.9230 | |
|
|
| 0.9155 | 1.0017 | 576 | 0.9211 | |
|
|
| 0.9072 | 1.1271 | 648 | 0.9198 | |
|
|
| 0.893 | 1.2524 | 720 | 0.9191 | |
|
|
| 0.91 | 1.3777 | 792 | 0.9186 | |
|
|
| 0.9649 | 1.5030 | 864 | 0.9184 | |
|
|
| 0.8838 | 1.6284 | 936 | 0.9183 | |
|
|
| 0.8856 | 1.7537 | 1008 | 0.9183 | |
|
|
| 0.9235 | 1.8790 | 1080 | 0.9183 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.53.1 |
|
|
- Pytorch 2.6.0+cu126 |
|
|
- Datasets 3.6.0 |
|
|
- Tokenizers 0.21.2 |
|
|
|
