---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.1
tags:
- generated_from_trainer
model-index:
- name: SequentialLearner
  results: []
---

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

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an 100K Sequential Dataset with Meta Hierachal Learning 
It achieves the following results on the evaluation set:
- Loss: 0.7433

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.5
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.97  | 25   | 0.7822          |
| No log        | 1.98  | 51   | 0.6128          |
| No log        | 2.99  | 77   | 0.6115          |
| No log        | 4.0   | 103  | 0.6793          |
| No log        | 4.85  | 125  | 0.7433          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0