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---
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
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