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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: EleutherAI/pythia-2.8b |
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tags: |
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- base_model:adapter:EleutherAI/pythia-2.8b |
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- lora |
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- transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: pythia-2.8b-sft |
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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-2.8b-sft |
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This model is a fine-tuned version of [EleutherAI/pythia-2.8b](https://huggingface.co/EleutherAI/pythia-2.8b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6671 |
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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: 2e-05 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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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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| 1.8621 | 0.0442 | 100 | 1.7438 | |
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| 1.7909 | 0.0884 | 200 | 1.7135 | |
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| 1.7775 | 0.1327 | 300 | 1.7020 | |
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| 1.7587 | 0.1769 | 400 | 1.6937 | |
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| 1.7683 | 0.2211 | 500 | 1.6876 | |
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| 1.7488 | 0.2653 | 600 | 1.6824 | |
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| 1.7646 | 0.3096 | 700 | 1.6799 | |
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| 1.7557 | 0.3538 | 800 | 1.6776 | |
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| 1.7485 | 0.3980 | 900 | 1.6743 | |
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| 1.7368 | 0.4422 | 1000 | 1.6729 | |
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| 1.7298 | 0.4865 | 1100 | 1.6705 | |
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| 1.7525 | 0.5307 | 1200 | 1.6724 | |
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| 1.7386 | 0.5749 | 1300 | 1.6703 | |
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| 1.7325 | 0.6191 | 1400 | 1.6684 | |
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| 1.7306 | 0.6633 | 1500 | 1.6682 | |
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| 1.7262 | 0.7076 | 1600 | 1.6669 | |
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| 1.7333 | 0.7518 | 1700 | 1.6675 | |
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| 1.7318 | 0.7960 | 1800 | 1.6673 | |
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| 1.7293 | 0.8402 | 1900 | 1.6668 | |
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| 1.7326 | 0.8845 | 2000 | 1.6671 | |
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| 1.7378 | 0.9287 | 2100 | 1.6668 | |
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| 1.7259 | 0.9729 | 2200 | 1.6671 | |
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### Framework versions |
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- PEFT 0.17.0 |
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- Transformers 4.55.0 |
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- Pytorch 2.7.1+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
