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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: Deci/DeciLM-7B |
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model-index: |
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- name: DeciLM7B-FineTuning-checkpoints |
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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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# DeciLM7B-FineTuning-checkpoints |
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This model is a fine-tuned version of [Deci/DeciLM-7B](https://huggingface.co/Deci/DeciLM-7B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6058 |
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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: 8 |
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- eval_batch_size: 8 |
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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: reduce_lr_on_plateau |
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- lr_scheduler_warmup_steps: 150 |
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- training_steps: 738 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.2254 | 3.23 | 100 | 2.1523 | |
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| 0.4367 | 6.45 | 200 | 2.2709 | |
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| 0.3763 | 9.68 | 300 | 2.4208 | |
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| 0.3719 | 12.9 | 400 | 2.4735 | |
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| 0.355 | 16.13 | 500 | 2.7165 | |
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| 0.3513 | 19.35 | 600 | 2.7926 | |
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| 0.3738 | 22.58 | 700 | 2.6058 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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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 |
