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--- |
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license: other |
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base_model: JackFram/llama-68m |
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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-finetuned-wikitext2 |
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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-finetuned-wikitext2 |
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This model is a fine-tuned version of [JackFram/llama-68m](https://huggingface.co/JackFram/llama-68m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.9290 |
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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: 0.0003 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 175 | 3.1817 | |
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| No log | 2.0 | 350 | 3.2699 | |
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| 2.5169 | 3.0 | 525 | 3.4555 | |
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| 2.5169 | 4.0 | 700 | 3.6923 | |
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| 2.5169 | 5.0 | 875 | 3.9542 | |
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| 1.5624 | 6.0 | 1050 | 4.2089 | |
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| 1.5624 | 7.0 | 1225 | 4.4777 | |
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| 1.5624 | 8.0 | 1400 | 4.7426 | |
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| 0.841 | 9.0 | 1575 | 4.9898 | |
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| 0.841 | 10.0 | 1750 | 5.2385 | |
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| 0.841 | 11.0 | 1925 | 5.4648 | |
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| 0.3788 | 12.0 | 2100 | 5.6607 | |
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| 0.3788 | 13.0 | 2275 | 5.8074 | |
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| 0.3788 | 14.0 | 2450 | 5.8933 | |
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| 0.1474 | 15.0 | 2625 | 5.9290 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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