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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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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-Instruct-v0.1 |
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model-index: |
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- name: mistral-instruct-dutch-syntax-10000 |
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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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# Mistral-7B-Instruct-v0.1-syntax2023-12-16-21-24 |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on a Lassy_small dataset curated for dutch syntax. |
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10000 samples where used, batch-size 2, runtime 2 epochs. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2522 |
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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: 2.5e-05 |
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- train_batch_size: 2 |
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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: linear |
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- lr_scheduler_warmup_steps: 0.03 |
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- training_steps: 10000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.7075 | 0.11 | 500 | 0.6710 | |
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| 0.3569 | 0.21 | 1000 | 0.4348 | |
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| 0.3458 | 0.32 | 1500 | 0.3517 | |
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| 0.3325 | 0.42 | 2000 | 0.3151 | |
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| 0.3014 | 0.53 | 2500 | 0.2928 | |
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| 0.2304 | 0.63 | 3000 | 0.2817 | |
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| 0.2984 | 0.74 | 3500 | 0.2736 | |
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| 0.2283 | 0.84 | 4000 | 0.2680 | |
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| 0.2399 | 0.95 | 4500 | 0.2640 | |
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| 0.24 | 1.05 | 5000 | 0.2609 | |
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| 0.2039 | 1.16 | 5500 | 0.2588 | |
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| 0.2447 | 1.26 | 6000 | 0.2558 | |
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| 0.2377 | 1.37 | 6500 | 0.2544 | |
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| 0.2399 | 1.47 | 7000 | 0.2544 | |
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| 0.2424 | 1.58 | 7500 | 0.2532 | |
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| 0.2626 | 1.68 | 8000 | 0.2527 | |
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| 0.2346 | 1.79 | 8500 | 0.2524 | |
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| 0.2194 | 1.89 | 9000 | 0.2522 | |
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| 0.2123 | 2.0 | 9500 | 0.2522 | |
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| 0.2618 | 2.11 | 10000 | 0.2522 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
