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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- pile-instruct/ |
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metrics: |
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- accuracy |
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model-index: |
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- name: layer_4,5,6,7,8 |
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results: |
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- task: |
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type: text-generation |
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name: Causal Language Modeling |
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dataset: |
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name: pile-instruct/ |
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type: pile-instruct/ |
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split: None |
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metrics: |
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- type: accuracy |
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value: 0.20994595912408442 |
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name: Accuracy |
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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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# layer_4,5,6,7,8 |
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This model is a fine-tuned version of [P1ayer-1/pythia-deduped-1b-chat-base](https://huggingface.co/P1ayer-1/pythia-deduped-1b-chat-base) on the pile-instruct/ dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 6.9437 |
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- Accuracy: 0.2099 |
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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: 0.0001 |
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- train_batch_size: 1 |
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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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- num_devices: 8 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 64 |
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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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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 7.6017 | 0.02 | 200 | 7.5928 | 0.1605 | |
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| 7.1871 | 0.03 | 400 | 7.2690 | 0.1847 | |
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| 7.0356 | 0.05 | 600 | 7.0897 | 0.1980 | |
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| 6.93 | 0.07 | 800 | 6.9870 | 0.2064 | |
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| 6.9089 | 0.08 | 1000 | 6.9437 | 0.2099 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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## Wandb Report |
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https://wandb.ai/ontocord/pythia-1b-deduped-layer-test-min-pile-instruct/runs/6hvfd11h |