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--- |
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license: other |
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base_model: NowaBwagel0/llama-68m-oasst |
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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: 2.5908 |
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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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| 2.8024 | 1.0 | 382 | 2.7493 | |
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| 2.6581 | 2.0 | 765 | 2.6798 | |
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| 2.6276 | 3.0 | 1147 | 2.6429 | |
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| 2.5111 | 4.0 | 1530 | 2.6212 | |
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| 2.4614 | 5.0 | 1912 | 2.6069 | |
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| 2.4789 | 6.0 | 2295 | 2.5985 | |
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| 2.4288 | 7.0 | 2677 | 2.5942 | |
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| 2.4184 | 8.0 | 3060 | 2.5909 | |
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| 2.2978 | 8.99 | 3438 | 2.5908 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.0 |
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- Tokenizers 0.15.0 |
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