---
license: cc-by-nc-4.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: CohereForAI/c4ai-command-r-v01-4bit
datasets:
- generator
model-index:
- name: c4ai-command-r-v01-SFT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# c4ai-command-r-v01-SFT

This model is a fine-tuned version of [CohereForAI/c4ai-command-r-v01-4bit](https://huggingface.co/CohereForAI/c4ai-command-r-v01-4bit) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6709

## 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: 2.5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 500

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.5906        | 0.2326  | 10   | 1.5675          |
| 1.5542        | 0.4651  | 20   | 1.4713          |
| 1.3934        | 0.6977  | 30   | 1.3839          |
| 1.346         | 0.9302  | 40   | 1.2949          |
| 1.2605        | 1.1628  | 50   | 1.2154          |
| 1.1887        | 1.3953  | 60   | 1.1361          |
| 1.0784        | 1.6279  | 70   | 1.0520          |
| 1.0086        | 1.8605  | 80   | 0.9770          |
| 0.9247        | 2.0930  | 90   | 0.9134          |
| 0.8671        | 2.3256  | 100  | 0.8640          |
| 0.8391        | 2.5581  | 110  | 0.8284          |
| 0.7849        | 2.7907  | 120  | 0.8026          |
| 0.7458        | 3.0233  | 130  | 0.7818          |
| 0.7377        | 3.2558  | 140  | 0.7684          |
| 0.7112        | 3.4884  | 150  | 0.7544          |
| 0.7054        | 3.7209  | 160  | 0.7430          |
| 0.7029        | 3.9535  | 170  | 0.7331          |
| 0.657         | 4.1860  | 180  | 0.7263          |
| 0.675         | 4.4186  | 190  | 0.7189          |
| 0.6695        | 4.6512  | 200  | 0.7117          |
| 0.6418        | 4.8837  | 210  | 0.7058          |
| 0.6348        | 5.1163  | 220  | 0.7028          |
| 0.6414        | 5.3488  | 230  | 0.6981          |
| 0.612         | 5.5814  | 240  | 0.6951          |
| 0.6114        | 5.8140  | 250  | 0.6909          |
| 0.6149        | 6.0465  | 260  | 0.6876          |
| 0.5978        | 6.2791  | 270  | 0.6884          |
| 0.5955        | 6.5116  | 280  | 0.6839          |
| 0.6112        | 6.7442  | 290  | 0.6802          |
| 0.5841        | 6.9767  | 300  | 0.6794          |
| 0.5746        | 7.2093  | 310  | 0.6801          |
| 0.5849        | 7.4419  | 320  | 0.6773          |
| 0.5863        | 7.6744  | 330  | 0.6760          |
| 0.5738        | 7.9070  | 340  | 0.6748          |
| 0.5696        | 8.1395  | 350  | 0.6739          |
| 0.5632        | 8.3721  | 360  | 0.6747          |
| 0.5732        | 8.6047  | 370  | 0.6737          |
| 0.5512        | 8.8372  | 380  | 0.6725          |
| 0.5761        | 9.0698  | 390  | 0.6716          |
| 0.5471        | 9.3023  | 400  | 0.6727          |
| 0.5579        | 9.5349  | 410  | 0.6724          |
| 0.573         | 9.7674  | 420  | 0.6714          |
| 0.5459        | 10.0    | 430  | 0.6708          |
| 0.5677        | 10.2326 | 440  | 0.6710          |
| 0.5453        | 10.4651 | 450  | 0.6708          |
| 0.5638        | 10.6977 | 460  | 0.6708          |
| 0.5473        | 10.9302 | 470  | 0.6709          |
| 0.5553        | 11.1628 | 480  | 0.6709          |
| 0.5535        | 11.3953 | 490  | 0.6708          |
| 0.5409        | 11.6279 | 500  | 0.6709          |


### Framework versions

- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.0