|
--- |
|
license: apache-2.0 |
|
base_model: DatPySci/pythia-1b-sft-full |
|
tags: |
|
- alignment-handbook |
|
- generated_from_trainer |
|
datasets: |
|
- DatPySci/iter0 |
|
model-index: |
|
- name: pythia-1b-kto-iter0 |
|
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. --> |
|
|
|
# pythia-1b-kto-iter0 |
|
|
|
This model is a fine-tuned version of [DatPySci/pythia-1b-sft-full](https://huggingface.co/DatPySci/pythia-1b-sft-full) on the DatPySci/iter0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2591 |
|
- Rewards/real: 0.0604 |
|
- Rewards/generated: -1.0267 |
|
- Rewards/accuracies: 0.9460 |
|
- Rewards/margins: 1.0871 |
|
- Logps/generated: -570.8114 |
|
- Logps/real: -468.1696 |
|
- Logits/generated: 0.2253 |
|
- Logits/real: -0.2820 |
|
|
|
## 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: 5e-07 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 2 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 64 |
|
- total_eval_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real | |
|
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:| |
|
| 0.2932 | 0.38 | 300 | 0.2962 | 0.0718 | -0.7855 | 0.9220 | 0.8572 | -568.3989 | -468.0556 | 0.2554 | -0.2530 | |
|
| 0.2689 | 0.77 | 600 | 0.2591 | 0.0604 | -1.0267 | 0.9460 | 1.0871 | -570.8114 | -468.1696 | 0.2253 | -0.2820 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.1 |
|
- Pytorch 2.2.1 |
|
- Datasets 2.17.1 |
|
- Tokenizers 0.15.2 |
|
|
