---
license: apache-2.0
base_model: plaguss/zephyr-7b-spin-iter2-v0
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-spin-iter3-v0
  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. -->

# zephyr-7b-spin-iter3-v0

This model is a fine-tuned version of [plaguss/zephyr-7b-spin-iter2-v0](https://huggingface.co/plaguss/zephyr-7b-spin-iter2-v0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1099
- Rewards/real: -2.9181
- Rewards/generated: -29.6970
- Rewards/accuracies: 0.9271
- Rewards/margins: 26.7789
- Logps/generated: -702.4378
- Logps/real: -278.1470
- Logits/generated: -2.8177
- Logits/real: -2.8051

## 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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- 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: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.2928        | 0.49  | 25   | 0.3951          | -2.6212      | -20.3268          | 0.9062             | 17.7056         | -700.5638       | -278.0876  | -2.8098          | -2.8090     |
| 0.1487        | 0.97  | 50   | 0.1319          | -2.9077      | -29.1459          | 0.9375             | 26.2382         | -702.3276       | -278.1449  | -2.8218          | -2.8066     |
| 0.006         | 1.46  | 75   | 0.1269          | -2.6037      | -29.1519          | 0.9583             | 26.5482         | -702.3289       | -278.0841  | -2.8175          | -2.8037     |
| 0.0086        | 1.94  | 100  | 0.1099          | -2.9181      | -29.6970          | 0.9271             | 26.7789         | -702.4378       | -278.1470  | -2.8177          | -2.8051     |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2