---
license: apache-2.0
base_model: cyberagent/calm2-7b-chat
tags:
- generated_from_trainer
model-index:
- name: out
  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. -->

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# out

This model is a fine-tuned version of [cyberagent/calm2-7b-chat](https://huggingface.co/cyberagent/calm2-7b-chat) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2941

## 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
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- total_eval_batch_size: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5899        | 0.0   | 1    | 4.1781          |
| 3.4689        | 0.05  | 352  | 3.5988          |
| 3.519         | 0.1   | 704  | 3.6209          |
| 3.4168        | 0.15  | 1056 | 3.6161          |
| 3.4906        | 0.2   | 1408 | 3.6054          |
| 3.4853        | 0.25  | 1760 | 3.5950          |
| 3.475         | 0.3   | 2112 | 3.5806          |
| 3.2476        | 0.35  | 2464 | 3.5675          |
| 3.2339        | 0.4   | 2816 | 3.5398          |
| 3.3711        | 0.45  | 3168 | 3.5233          |
| 3.4195        | 0.5   | 3520 | 3.5006          |
| 3.1105        | 0.55  | 3872 | 3.4804          |
| 3.2477        | 0.6   | 4224 | 3.4546          |
| 3.2753        | 0.65  | 4576 | 3.4311          |
| 3.1867        | 0.7   | 4928 | 3.4054          |
| 3.2009        | 0.75  | 5280 | 3.3783          |
| 3.1037        | 0.8   | 5632 | 3.3509          |
| 3.0394        | 0.85  | 5984 | 3.3314          |
| 3.0759        | 0.9   | 6336 | 3.3095          |
| 3.1989        | 0.95  | 6688 | 3.2941          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1