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---
license: other
base_model: NowaBwagel0/llama-68m-oasst
tags:
- generated_from_trainer
model-index:
- name: llama-68m-oasst
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. -->
# llama-68m-oasst
This model is a fine-tuned version of [NowaBwagel0/llama-68m-oasst](https://huggingface.co/NowaBwagel0/llama-68m-oasst) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5908
## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8024 | 1.0 | 382 | 2.7493 |
| 2.6581 | 2.0 | 765 | 2.6798 |
| 2.6276 | 3.0 | 1147 | 2.6429 |
| 2.5111 | 4.0 | 1530 | 2.6212 |
| 2.4614 | 5.0 | 1912 | 2.6069 |
| 2.4789 | 6.0 | 2295 | 2.5985 |
| 2.4288 | 7.0 | 2677 | 2.5942 |
| 2.4184 | 8.0 | 3060 | 2.5909 |
| 2.2978 | 8.99 | 3438 | 2.5908 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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