|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: cyberbabooshka/base_noreasoning |
|
|
tags: |
|
|
- axolotl |
|
|
- generated_from_trainer |
|
|
datasets: |
|
|
- cyberbabooshka/MNLP_M2_mcqa_dataset |
|
|
model-index: |
|
|
- name: MNLP_M2_mcqa_model |
|
|
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: `0.10.0.dev0` |
|
|
```yaml |
|
|
base_model: cyberbabooshka/base_noreasoning |
|
|
hub_model_id: cyberbabooshka/MNLP_M2_mcqa_model |
|
|
wandb_name: base |
|
|
|
|
|
tokenizer_type: AutoTokenizer |
|
|
load_in_8bit: false |
|
|
load_in_4bit: false |
|
|
|
|
|
num_processes: 64 |
|
|
dataset_processes: 64 |
|
|
dataset_prepared_path: last_run_prepared |
|
|
|
|
|
chat_template: jinja |
|
|
chat_template_jinja: >- |
|
|
{%- for message in messages %} |
|
|
{{- message.content.strip('\n') + '\n' }} |
|
|
{%- endfor %} |
|
|
{%- if not add_generation_prompt %} |
|
|
{{- '<|im_end|>' }} |
|
|
{%- endif %} |
|
|
|
|
|
|
|
|
datasets: |
|
|
- path: cyberbabooshka/MNLP_M2_mcqa_dataset |
|
|
name: cooldown |
|
|
split: train |
|
|
type: chat_template |
|
|
chat_template: tokenizer_default |
|
|
field_messages: messages |
|
|
train_on_eos: all |
|
|
train_on_eot: all |
|
|
message_property_mappings: |
|
|
role: role |
|
|
content: content |
|
|
roles: |
|
|
user: |
|
|
- user |
|
|
assistant: |
|
|
- assistant |
|
|
|
|
|
test_datasets: |
|
|
- path: cyberbabooshka/MNLP_M2_mcqa_dataset |
|
|
name: mcqa |
|
|
split: test |
|
|
type: chat_template |
|
|
chat_template: tokenizer_default |
|
|
field_messages: messages |
|
|
train_on_eos: all |
|
|
train_on_eot: all |
|
|
message_property_mappings: |
|
|
role: role |
|
|
content: content |
|
|
roles: |
|
|
user: |
|
|
- user |
|
|
assistant: |
|
|
- assistant |
|
|
|
|
|
output_dir: ./outputs_mcqa |
|
|
|
|
|
sequence_len: 2048 |
|
|
batch_flattening: true |
|
|
sample_packing: false |
|
|
|
|
|
wandb_project: mnlp |
|
|
wandb_entity: aleksandr-dremov-epfl |
|
|
wandb_watch: |
|
|
wandb_log_model: |
|
|
|
|
|
gradient_accumulation_steps: 1 |
|
|
eval_batch_size: 16 |
|
|
micro_batch_size: 12 |
|
|
|
|
|
optimizer: ademamix_8bit |
|
|
weight_decay: 0.01 |
|
|
|
|
|
learning_rate: 0.00001 |
|
|
warmup_steps: 100 |
|
|
|
|
|
wsd_final_lr_factor: 0.0 |
|
|
wsd_init_div_factor: 100 |
|
|
wsd_fract_decay: 0.2 |
|
|
wsd_decay_type: "sqrt" |
|
|
wsd_sqrt_power: 0.5 |
|
|
wsd_cooldown_start_lr_factor: 1.0 |
|
|
|
|
|
bf16: auto |
|
|
tf32: false |
|
|
|
|
|
torch_compile: true |
|
|
flash_attention: true |
|
|
gradient_checkpointing: false |
|
|
|
|
|
resume_from_checkpoint: |
|
|
auto_resume_from_checkpoints: true |
|
|
|
|
|
logging_steps: 16 |
|
|
eval_steps: 500 |
|
|
save_steps: 500 |
|
|
max_steps: 1000000 |
|
|
num_epochs: 1 |
|
|
save_total_limit: 2 |
|
|
|
|
|
special_tokens: |
|
|
eos_token: "<|im_end|>" |
|
|
pad_token: "<|endoftext|>" |
|
|
|
|
|
eot_tokens: |
|
|
- <|im_end|> |
|
|
|
|
|
plugins: |
|
|
- axolotl_wsd.WSDSchedulerPlugin |
|
|
|
|
|
``` |
|
|
|
|
|
</details><br> |
|
|
|
|
|
# MNLP_M2_mcqa_model |
|
|
|
|
|
This model is a fine-tuned version of [cyberbabooshka/base_noreasoning](https://huggingface.co/cyberbabooshka/base_noreasoning) on the cyberbabooshka/MNLP_M2_mcqa_dataset dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.6772 |
|
|
|
|
|
## 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: 12 |
|
|
- eval_batch_size: 16 |
|
|
- seed: 42 |
|
|
- distributed_type: multi-GPU |
|
|
- num_devices: 2 |
|
|
- total_train_batch_size: 24 |
|
|
- total_eval_batch_size: 32 |
|
|
- optimizer: Use OptimizerNames.ADEMAMIX_8BIT and the args are: |
|
|
No additional optimizer arguments |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_steps: 100 |
|
|
- training_steps: 8438 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:------:|:----:|:---------------:| |
|
|
| No log | 0.0001 | 1 | 2.2371 | |
|
|
| 0.8956 | 0.0593 | 500 | 0.7674 | |
|
|
| 0.9093 | 0.1185 | 1000 | 0.7335 | |
|
|
| 0.8544 | 0.1778 | 1500 | 0.7159 | |
|
|
| 0.8503 | 0.2370 | 2000 | 0.7074 | |
|
|
| 0.8781 | 0.2963 | 2500 | 0.7016 | |
|
|
| 0.8171 | 0.3555 | 3000 | 0.6968 | |
|
|
| 0.9179 | 0.4148 | 3500 | 0.6930 | |
|
|
| 0.845 | 0.4740 | 4000 | 0.6895 | |
|
|
| 0.8885 | 0.5333 | 4500 | 0.6865 | |
|
|
| 0.9432 | 0.5926 | 5000 | 0.6844 | |
|
|
| 0.7451 | 0.6518 | 5500 | 0.6825 | |
|
|
| 0.8675 | 0.7111 | 6000 | 0.6811 | |
|
|
| 0.8606 | 0.7703 | 6500 | 0.6793 | |
|
|
| 0.8602 | 0.8000 | 6750 | 0.6793 | |
|
|
| 0.8458 | 0.8296 | 7000 | 0.6778 | |
|
|
| 0.9051 | 0.8888 | 7500 | 0.6772 | |
|
|
| 0.8589 | 0.9481 | 8000 | 0.6772 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.52.1 |
|
|
- Pytorch 2.7.0+cu126 |
|
|
- Datasets 3.5.0 |
|
|
- Tokenizers 0.21.1 |
|
|
|
