transformers safetensors mistral text-generation generated_from_trainer conversational dataset:argilla/10k_prompts_SPIN_iter1_zephyr_top dataset:argilla/10k_prompts_SPIN_iter0_zephyr_top dataset:DIBT/10k_prompts_ranked base_model:argilla/zephyr-7b-spin-iter0-v0 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: argilla/zephyr-7b-spin-iter0-v0
tags:
- generated_from_trainer
model-index:
- name: zephyr-7b-spin-iter1-v0
  results: []
datasets:
- argilla/10k_prompts_SPIN_iter1_zephyr_top
- argilla/10k_prompts_SPIN_iter0_zephyr_top
- DIBT/10k_prompts_ranked
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# zephyr-7b-spin-iter1-v0

This model is a fine-tuned version of [argilla/zephyr-7b-spin-iter0-v0](https://huggingface.co/argilla/zephyr-7b-spin-iter0-v0) on the 
[argilla/10k_prompts_SPIN_iter1_zephyr_top](https://huggingface.co/datasets/argilla/10k_prompts_SPIN_iter1_zephyr_top) and 
[argilla/10k_prompts_SPIN_iter0_zephyr_top](https://huggingface.co/datasets/argilla/10k_prompts_SPIN_iter0_zephyr_top) dataset.

It achieves the following results on the evaluation set:
- Loss: 0.0831
- Rewards/real: 1.3037
- Rewards/generated: -5.4434
- Rewards/accuracies: 0.9792
- Rewards/margins: 6.7471
- Logps/generated: -545.0309
- Logps/real: -272.3726
- Logits/generated: -2.6844
- Logits/real: -2.7197


## MT-Bench results

| Model                   | 1st Turn Score | 2nd Turn Score | Average Score |
|-------------------------|----------------|----------------|---------------|
| zephyr-7b-sft-full      | 6.6625         | 6.0250         | 6.34375       |
| zephyr-7b-spin-iter0-v0 | 6.64375        | 6.1750         | 6.409375      |
| zephyr-7b-spin-iter1-v0 | 6.90625        | 6.3000         | 6.603125      |
| zephyr-7b-spin-iter2-v0 | **7.1375**     | 6.3125         | 6.725000      |
| zephyr-7b-spin-iter3-v0 | 7.09375        | **6.4500**     | **6.771875**  |


## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
| 0.1827        | 0.49  | 25   | 0.1651          | 0.1714       | -3.3650           | 0.9688             | 3.5364          | -524.2469       | -283.6962  | -2.7482          | -2.7944     |
| 0.0462        | 0.97  | 50   | 0.0835          | 1.4823       | -4.4998           | 1.0                | 5.9821          | -535.5947       | -270.5871  | -2.6963          | -2.7356     |
| 0.0047        | 1.46  | 75   | 0.0837          | 1.3725       | -5.2500           | 0.9896             | 6.6225          | -543.0965       | -271.6846  | -2.6847          | -2.7211     |
| 0.0034        | 1.94  | 100  | 0.0831          | 1.3037       | -5.4434           | 0.9792             | 6.7471          | -545.0309       | -272.3726  | -2.6844          | -2.7197     |


### Framework versions

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