---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.3
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
library_name: peft
model-index:
- name: fine_tune_e2e
  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. -->

# fine_tune_e2e

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2216

## 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: 0.00025
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3113        | 0.0926 | 50   | 1.2471          |
| 1.2364        | 0.1852 | 100  | 1.2382          |
| 1.2241        | 0.2778 | 150  | 1.2332          |
| 1.2608        | 0.3704 | 200  | 1.2313          |
| 1.2333        | 0.4630 | 250  | 1.2288          |
| 1.2352        | 0.5556 | 300  | 1.2272          |
| 1.2323        | 0.6481 | 350  | 1.2256          |
| 1.2482        | 0.7407 | 400  | 1.2238          |
| 1.2104        | 0.8333 | 450  | 1.2227          |
| 1.2348        | 0.9259 | 500  | 1.2208          |
| 1.2176        | 1.0185 | 550  | 1.2208          |
| 1.1914        | 1.1111 | 600  | 1.2219          |
| 1.1972        | 1.2037 | 650  | 1.2230          |
| 1.1815        | 1.2963 | 700  | 1.2226          |
| 1.1838        | 1.3889 | 750  | 1.2230          |
| 1.2029        | 1.4815 | 800  | 1.2225          |
| 1.1571        | 1.5741 | 850  | 1.2224          |
| 1.1575        | 1.6667 | 900  | 1.2221          |
| 1.18          | 1.7593 | 950  | 1.2218          |
| 1.1708        | 1.8519 | 1000 | 1.2217          |
| 1.1513        | 1.9444 | 1050 | 1.2216          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.40.1
- Pytorch 2.3.1+cu121
- Datasets 4.0.0
- Tokenizers 0.19.1