transformers tensorboard safetensors mistral text-generation trl sft generated_from_trainer conversational dataset:generator base_model:kam414/pre-train-mistral-v2-full autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: kam414/pre-train-mistral-v2-full
model-index:
- name: sft-mistral-v1
  results: []
---

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# sft-mistral-v1

This model is a fine-tuned version of [kam414/pre-train-mistral-v2-full](https://huggingface.co/kam414/pre-train-mistral-v2-full) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2212

## 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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.2
- training_steps: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9676        | 0.5   | 10   | 1.4137          |
| 1.3178        | 1.0   | 20   | 1.2463          |
| 1.071         | 1.5   | 30   | 1.2405          |
| 1.0554        | 2.0   | 40   | 1.2212          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1