| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - Multi-Domain-Expert-Layers/pubmed_central |
| metrics: |
| - accuracy |
| model-index: |
| - name: layer_9,10,11,12,13 |
| results: |
| - task: |
| type: text-generation |
| name: Causal Language Modeling |
| dataset: |
| name: Multi-Domain-Expert-Layers/pubmed_central |
| type: Multi-Domain-Expert-Layers/pubmed_central |
| split: None |
| metrics: |
| - type: accuracy |
| value: 0.5767534246575342 |
| name: Accuracy |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # layer_9,10,11,12,13 |
| |
| This model is a fine-tuned version of [EleutherAI/pythia-1b-deduped](https://huggingface.co/EleutherAI/pythia-1b-deduped) on the Multi-Domain-Expert-Layers/pubmed_central dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.0227 |
| - Accuracy: 0.5768 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0001 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 64 |
| - total_eval_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - training_steps: 1000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 2.0567 | 0.0 | 200 | 2.0533 | 0.5717 | |
| | 2.041 | 0.01 | 400 | 2.0438 | 0.5733 | |
| | 2.0496 | 0.01 | 600 | 2.0361 | 0.5749 | |
| | 2.0194 | 0.02 | 800 | 2.0276 | 0.5761 | |
| | 2.0338 | 0.02 | 1000 | 2.0227 | 0.5768 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.28.1 |
| - Pytorch 2.0.0+cu117 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
|
|
|
|
| ## Wandb Report |
| https://wandb.ai/ontocord/pythia-1b-deduped-layer-test-pubmed_central/runs/yy3pwx0o |
