|
--- |
|
license: apache-2.0 |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
base_model: mnoukhov/pythia410m-sft-tldr |
|
model-index: |
|
- name: pythia410m-dpo2-tldr |
|
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. --> |
|
|
|
# pythia410m-dpo2-tldr |
|
|
|
This model is a fine-tuned version of [mnoukhov/pythia410m-sft-tldr](https://huggingface.co/mnoukhov/pythia410m-sft-tldr) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7753 |
|
- Rewards/chosen: -6.3555 |
|
- Rewards/rejected: -6.7803 |
|
- Rewards/accuracies: 0.5989 |
|
- Rewards/margins: 0.4248 |
|
- Logps/rejected: -192.7698 |
|
- Logps/chosen: -192.7698 |
|
- Logps/ref Rejected: -59.5615 |
|
- Logps/ref Chosen: -65.6594 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 4 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 64 |
|
- total_eval_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- num_epochs: 1.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logps/ref Rejected | Logps/ref Chosen | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:------------------:|:----------------:| |
|
| 0.412 | 0.1999 | 335 | 0.6786 | -4.5428 | -4.9111 | 0.6222 | 0.3683 | -156.5151 | -156.5151 | -59.5615 | -65.6594 | |
|
| 0.3588 | 0.3999 | 670 | 0.7264 | -5.6339 | -6.0502 | 0.6107 | 0.4163 | -178.3372 | -178.3372 | -59.5615 | -65.6594 | |
|
| 0.345 | 0.5998 | 1005 | 0.7470 | -6.0062 | -6.4506 | 0.6086 | 0.4444 | -185.7831 | -185.7831 | -59.5615 | -65.6594 | |
|
| 0.3419 | 0.7998 | 1340 | 0.7738 | -6.3469 | -6.7796 | 0.6012 | 0.4327 | -192.5978 | -192.5978 | -59.5615 | -65.6594 | |
|
| 0.3384 | 0.9997 | 1675 | 0.7753 | -6.3555 | -6.7803 | 0.5989 | 0.4248 | -192.7698 | -192.7698 | -59.5615 | -65.6594 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.40.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
