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---
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base_model: NowaBwagel0/llama-68m-oasst
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license: other
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tags:
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- generated_from_trainer
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model-index:
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- name: llama-68m-oasst
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# llama-68m-oasst
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This model is a fine-tuned version of [NowaBwagel0/llama-68m-oasst](https://huggingface.co/NowaBwagel0/llama-68m-oasst) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6231
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 9
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.197 | 0.9987 | 382 | 2.5801 |
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| 2.1256 | 2.0 | 765 | 2.5814 |
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| 2.0953 | 2.9987 | 1147 | 2.5903 |
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| 2.1023 | 4.0 | 1530 | 2.5968 |
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| 2.0331 | 4.9987 | 1912 | 2.6012 |
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| 2.0151 | 6.0 | 2295 | 2.6076 |
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| 1.9609 | 6.9987 | 2677 | 2.6150 |
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| 1.9311 | 8.0 | 3060 | 2.6203 |
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| 1.9812 | 8.9882 | 3438 | 2.6231 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.2.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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