---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: mistral-convsearch-7b-v4
  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. -->

# mistral-convsearch-7b-v4

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4812

## 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: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5117        | 0.63  | 137  | 0.5122          |
| 0.4733        | 1.63  | 275  | 0.4869          |
| 0.4585        | 2.63  | 413  | 0.4761          |
| 0.4408        | 3.63  | 551  | 0.4705          |
| 0.4266        | 4.63  | 689  | 0.4692          |
| 0.4087        | 5.63  | 827  | 0.4686          |
| 0.399         | 6.63  | 965  | 0.4724          |
| 0.3875        | 7.63  | 1103 | 0.4756          |
| 0.3832        | 8.63  | 1240 | 0.4780          |
| 0.3682        | 9.63  | 1378 | 0.4814          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1