---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Summary4500_M2_1000steps_1e6rate_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. -->

# Summary4500_M2_1000steps_1e6rate_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: 0.4077

## 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-06
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.4267        | 0.0447 | 50   | 0.4486          |
| 0.4244        | 0.0895 | 100  | 0.4530          |
| 0.4172        | 0.1342 | 150  | 0.4353          |
| 0.4055        | 0.1790 | 200  | 0.4316          |
| 0.4066        | 0.2237 | 250  | 0.4294          |
| 0.3974        | 0.2685 | 300  | 0.4279          |
| 0.4245        | 0.3132 | 350  | 0.4248          |
| 0.4032        | 0.3579 | 400  | 0.4211          |
| 0.4038        | 0.4027 | 450  | 0.4179          |
| 0.388         | 0.4474 | 500  | 0.4155          |
| 0.3814        | 0.4922 | 550  | 0.4132          |
| 0.3839        | 0.5369 | 600  | 0.4112          |
| 0.379         | 0.5817 | 650  | 0.4101          |
| 0.3887        | 0.6264 | 700  | 0.4091          |
| 0.4026        | 0.6711 | 750  | 0.4084          |
| 0.3903        | 0.7159 | 800  | 0.4079          |
| 0.3754        | 0.7606 | 850  | 0.4078          |
| 0.39          | 0.8054 | 900  | 0.4077          |
| 0.3917        | 0.8501 | 950  | 0.4077          |
| 0.3771        | 0.8949 | 1000 | 0.4077          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.0.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1