---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Transaminitis_M2_200rate_1e7_SFT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Transaminitis_M2_200rate_1e7_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: 0.4066

## 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: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2942        | 0.2   | 25   | 2.2327          |
| 2.0387        | 0.4   | 50   | 1.9312          |
| 1.6442        | 0.6   | 75   | 1.3586          |
| 0.7444        | 0.8   | 100  | 0.5869          |
| 0.452         | 1.0   | 125  | 0.4245          |
| 0.4076        | 1.2   | 150  | 0.4099          |
| 0.4008        | 1.4   | 175  | 0.4067          |
| 0.4075        | 1.6   | 200  | 0.4066          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1