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--- |
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license: mit |
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base_model: microsoft/phi-2 |
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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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datasets: |
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- arrow |
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model-index: |
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- name: fietje-2b |
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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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# fietje-2b |
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the arrow dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4013 |
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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: 9e-05 |
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- train_batch_size: 40 |
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- eval_batch_size: 40 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 16 |
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- gradient_accumulation_steps: 3 |
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- total_train_batch_size: 1920 |
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- total_eval_batch_size: 640 |
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07 |
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- lr_scheduler_type: linear |
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- num_epochs: 1.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.6334 | 0.13 | 900 | 1.5937 | |
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| 1.5469 | 0.26 | 1800 | 1.5051 | |
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| 1.4937 | 0.4 | 2700 | 1.4628 | |
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| 1.4633 | 0.53 | 3600 | 1.4375 | |
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| 1.4485 | 0.66 | 4500 | 1.4203 | |
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| 1.4374 | 0.79 | 5400 | 1.4085 | |
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| 1.4278 | 0.92 | 6300 | 1.4013 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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