|
--- |
|
library_name: peft |
|
license: apache-2.0 |
|
base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
datasets: |
|
- HuggingFaceH4/ultrafeedback_binarized |
|
- HuggingFaceH4/cai-conversation-harmless |
|
model-index: |
|
- name: smollm2-17b-dpo-cai-v1 |
|
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. --> |
|
|
|
# smollm2-17b-dpo-cai-v1 |
|
|
|
This model is a fine-tuned version of [moodlep/smollm2-1.7b-instr-sft-cai](https://huggingface.co/moodlep/smollm2-1.7b-instr-sft-cai) on the HuggingFaceH4/ultrafeedback_binarized and the HuggingFaceH4/cai-conversation-harmless datasets. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6931 |
|
- Rewards/chosen: 0.0000 |
|
- Rewards/rejected: -0.0001 |
|
- Rewards/accuracies: 0.4339 |
|
- Rewards/margins: 0.0002 |
|
- Logps/rejected: -228.5849 |
|
- Logps/chosen: -245.0489 |
|
- Logits/rejected: -1.4322 |
|
- Logits/chosen: -1.3905 |
|
|
|
## 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-06 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 16 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6933 | 0.3883 | 100 | 0.6930 | -0.0013 | -0.0015 | 0.4358 | 0.0002 | -228.7255 | -245.1841 | -1.6940 | -1.6433 | |
|
| 0.6931 | 0.7767 | 200 | 0.6929 | -0.0007 | -0.0011 | 0.4487 | 0.0004 | -228.6854 | -245.1230 | -1.2768 | -1.2404 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.14.0 |
|
- Transformers 4.45.0 |
|
- Pytorch 2.5.1+cu124 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.20.3 |
