---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
datasets:
- scitldr
model-index:
- name: uplimit-project-3-mistral7b
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# uplimit-project-3-mistral7b

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the scitldr dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3280

## 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: 0.001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8989        | 0.2   | 200  | 2.8317          |
| 3.0908        | 0.4   | 400  | 3.2010          |
| 3.7518        | 0.6   | 600  | 3.9583          |
| 4.275         | 0.8   | 800  | 4.3280          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1