|
--- |
|
base_model: sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat |
|
tags: |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat |
|
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. --> |
|
|
|
# sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat |
|
|
|
This model is a fine-tuned version of [sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat](https://huggingface.co/sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6412 |
|
- Rewards/chosen: -0.1044 |
|
- Rewards/rejected: -0.2494 |
|
- Rewards/accuracies: 0.6445 |
|
- Rewards/margins: 0.1450 |
|
- Logps/rejected: -429.4582 |
|
- Logps/chosen: -433.6304 |
|
- Logits/rejected: -3.2047 |
|
- Logits/chosen: -3.2544 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 128 |
|
- total_eval_batch_size: 64 |
|
- 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 | |
|
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6795 | 0.2092 | 100 | 0.6759 | 0.0017 | -0.0328 | 0.6289 | 0.0345 | -407.8037 | -423.0197 | -3.2565 | -3.3136 | |
|
| 0.6584 | 0.4184 | 200 | 0.6534 | -0.0666 | -0.1617 | 0.6445 | 0.0951 | -420.6952 | -429.8561 | -3.2240 | -3.2768 | |
|
| 0.6494 | 0.6276 | 300 | 0.6438 | -0.1077 | -0.2410 | 0.6211 | 0.1333 | -428.6237 | -433.9640 | -3.2050 | -3.2553 | |
|
| 0.6428 | 0.8368 | 400 | 0.6415 | -0.1001 | -0.2437 | 0.6211 | 0.1436 | -428.8884 | -433.2000 | -3.2046 | -3.2543 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.1 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
|
|
