---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: croissantllm/CroissantLLMChat-v0.1
model-index:
- name: croissantllm_alector
  results: []
---

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

This model is a fine-tuned version of [croissantllm/CroissantLLMChat-v0.1](https://huggingface.co/croissantllm/CroissantLLMChat-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4429

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 4.4674        | 1.4815  | 10   | 2.7493          |
| 2.3361        | 2.9630  | 20   | 1.7841          |
| 1.6418        | 4.4444  | 30   | 1.6253          |
| 1.5506        | 5.9259  | 40   | 1.5834          |
| 1.4118        | 7.4074  | 50   | 1.5230          |
| 1.3397        | 8.8889  | 60   | 1.5239          |
| 1.2705        | 10.3704 | 70   | 1.4704          |
| 1.181         | 11.8519 | 80   | 1.4517          |
| 1.1903        | 13.3333 | 90   | 1.4438          |
| 1.1721        | 14.8148 | 100  | 1.4429          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1