---
license: apache-2.0
base_model: falche/opennovel_oc2_01a_7b
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 [falche/opennovel_oc2_01a_7b](https://huggingface.co/falche/opennovel_oc2_01a_7b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3955

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.1649        | 0.0   | 1     | 3.3906          |
| 3.6247        | 0.05  | 528   | 3.7267          |
| 3.5584        | 0.1   | 1056  | 3.7235          |
| 3.4741        | 0.15  | 1584  | 3.7208          |
| 3.4915        | 0.2   | 2112  | 3.6959          |
| 3.4849        | 0.25  | 2640  | 3.6844          |
| 3.4466        | 0.3   | 3168  | 3.6704          |
| 3.2705        | 0.35  | 3696  | 3.6390          |
| 3.2936        | 0.4   | 4224  | 3.6249          |
| 3.4238        | 0.45  | 4752  | 3.6018          |
| 3.3485        | 0.5   | 5280  | 3.5783          |
| 3.2596        | 0.55  | 5808  | 3.5661          |
| 3.2277        | 0.6   | 6336  | 3.5371          |
| 3.2635        | 0.65  | 6864  | 3.5157          |
| 3.1735        | 0.7   | 7392  | 3.4962          |
| 3.1552        | 0.75  | 7920  | 3.4712          |
| 3.0954        | 0.8   | 8448  | 3.4501          |
| 3.09          | 0.85  | 8976  | 3.4298          |
| 3.1094        | 0.9   | 9504  | 3.4096          |
| 2.9722        | 0.95  | 10032 | 3.3955          |


### Framework versions

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