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--- |
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license: apache-2.0 |
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base_model: EleutherAI/pythia-1.4b |
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tags: |
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- generated_from_trainer |
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datasets: |
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- alpaca_farm |
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model-index: |
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- name: pythia-1.4b_alpaca_farm_instructions_sft_constant_pa |
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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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# pythia-1.4b_alpaca_farm_instructions_sft_constant_pa |
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This model is a fine-tuned version of [EleutherAI/pythia-1.4b](https://huggingface.co/EleutherAI/pythia-1.4b) on the alpaca_farm dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1513 |
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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: 8e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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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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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.5967 | 1.0 | 2500 | 1.0668 | |
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| 1.0239 | 2.0 | 5000 | 0.5980 | |
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| 0.5893 | 3.0 | 7500 | 0.3444 | |
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| 0.3651 | 4.0 | 10000 | 0.2424 | |
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| 0.272 | 5.0 | 12500 | 0.2009 | |
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| 0.2294 | 6.0 | 15000 | 0.1792 | |
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| 0.2056 | 7.0 | 17500 | 0.1686 | |
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| 0.192 | 8.0 | 20000 | 0.1609 | |
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| 0.1841 | 9.0 | 22500 | 0.1551 | |
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| 0.1773 | 10.0 | 25000 | 0.1513 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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