transformers safetensors mistral text-generation trl sft generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: 400STEPS_1e6rate_Mistral_SFT
  results: []
---

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# 400STEPS_1e6rate_Mistral_SFT

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: 0.2867

## 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: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 400

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3194        | 0.12  | 60   | 0.3358          |
| 0.3325        | 0.23  | 120  | 0.3437          |
| 0.2965        | 0.35  | 180  | 0.2997          |
| 0.2927        | 0.47  | 240  | 0.2926          |
| 0.2932        | 0.59  | 300  | 0.2878          |
| 0.2889        | 0.7   | 360  | 0.2867          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.0+cu117
- Datasets 2.17.0
- Tokenizers 0.15.1
