---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: cognitivecomputations/dolphin-2.2.1-mistral-7b
model-index:
- name: chain-texts-0.1-dolphin-mixtral-8x7b
  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. -->

# chain-texts-0.1-dolphin-mixtral-8x7b

This model is a fine-tuned version of [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6571

## 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: 0.0002
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8452        | 0.1887 | 20   | 1.8520          |
| 1.6519        | 0.3774 | 40   | 1.7660          |
| 1.6726        | 0.5660 | 60   | 1.7475          |
| 1.6545        | 0.7547 | 80   | 1.7325          |
| 1.7688        | 0.9434 | 100  | 1.7146          |
| 1.7037        | 1.1321 | 120  | 1.7112          |
| 1.5269        | 1.3208 | 140  | 1.6965          |
| 1.4638        | 1.5094 | 160  | 1.6875          |
| 1.647         | 1.6981 | 180  | 1.6847          |
| 1.5333        | 1.8868 | 200  | 1.6772          |
| 1.5194        | 2.0755 | 220  | 1.6854          |
| 1.5149        | 2.2642 | 240  | 1.6847          |
| 1.3981        | 2.4528 | 260  | 1.6653          |
| 1.4842        | 2.6415 | 280  | 1.6612          |
| 1.4262        | 2.8302 | 300  | 1.6571          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1