---
library_name: transformers
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: IE_M2_1000steps_1e7rate_SFT
  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. -->

# IE_M2_1000steps_1e7rate_SFT

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2801

## 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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8404        | 0.4   | 50   | 1.8454          |
| 1.6261        | 0.8   | 100  | 1.5552          |
| 1.4351        | 1.2   | 150  | 1.3280          |
| 1.3429        | 1.6   | 200  | 1.3033          |
| 1.3587        | 2.0   | 250  | 1.2943          |
| 1.3562        | 2.4   | 300  | 1.2894          |
| 1.3709        | 2.8   | 350  | 1.2861          |
| 1.2679        | 3.2   | 400  | 1.2843          |
| 1.3609        | 3.6   | 450  | 1.2828          |
| 1.2742        | 4.0   | 500  | 1.2819          |
| 1.3383        | 4.4   | 550  | 1.2812          |
| 1.296         | 4.8   | 600  | 1.2806          |
| 1.3159        | 5.2   | 650  | 1.2804          |
| 1.3007        | 5.6   | 700  | 1.2802          |
| 1.2311        | 6.0   | 750  | 1.2802          |
| 1.2871        | 6.4   | 800  | 1.2802          |
| 1.2652        | 6.8   | 850  | 1.2801          |
| 1.2764        | 7.2   | 900  | 1.2801          |
| 1.2565        | 7.6   | 950  | 1.2801          |
| 1.3073        | 8.0   | 1000 | 1.2801          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.0.0+cu117
- Datasets 3.0.0
- Tokenizers 0.19.1