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--- |
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base_model: huggyllama/llama-13b |
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library_name: peft |
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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-13b_oasst1_l0.0002_32-32 |
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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-13b_oasst1_l0.0002_32-32 |
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This model is a fine-tuned version of [huggyllama/llama-13b](https://huggingface.co/huggyllama/llama-13b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3866 |
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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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 0 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.4264 | 0.0018 | 1 | 1.6140 | |
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| 1.4292 | 0.3392 | 187 | 1.2391 | |
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| 1.0776 | 0.6783 | 374 | 1.2320 | |
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| 1.3037 | 1.0175 | 561 | 1.2323 | |
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| 1.0895 | 1.3566 | 748 | 1.2525 | |
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| 1.1146 | 1.6958 | 935 | 1.2393 | |
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| 0.7616 | 2.0349 | 1122 | 1.2815 | |
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| 0.9368 | 2.3741 | 1309 | 1.3351 | |
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| 0.7076 | 2.7132 | 1496 | 1.3530 | |
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### Framework versions |
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- PEFT 0.12.1.dev0 |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
