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--- |
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license: apache-2.0 |
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base_model: EleutherAI/pythia-70m-deduped |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: pythia-70m-deduped-databricks-dolly-15k-v1 |
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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-70m-deduped-databricks-dolly-15k-v1 |
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This model is a fine-tuned version of [EleutherAI/pythia-70m-deduped](https://huggingface.co/EleutherAI/pythia-70m-deduped) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.3362 |
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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: 0.01 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 22.5289 | 1.0 | 1501 | 10.2721 | |
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| 8.5659 | 2.0 | 3002 | 6.0637 | |
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| 6.1434 | 3.0 | 4503 | 5.6654 | |
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| 5.735 | 4.0 | 6004 | 5.5859 | |
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| 5.5524 | 5.0 | 7505 | 5.5399 | |
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| 5.4368 | 6.0 | 9006 | 5.5221 | |
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| 5.3728 | 7.0 | 10507 | 5.5221 | |
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| 5.2796 | 8.0 | 12008 | 5.5022 | |
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| 5.1963 | 9.0 | 13509 | 5.4812 | |
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| 5.1361 | 10.0 | 15010 | 5.4652 | |
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| 5.0767 | 11.0 | 16511 | 5.4530 | |
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| 5.014 | 12.0 | 18012 | 5.4161 | |
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| 4.9554 | 13.0 | 19513 | 5.3732 | |
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| 4.9044 | 14.0 | 21014 | 5.3763 | |
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| 4.8483 | 15.0 | 22515 | 5.3694 | |
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| 4.7916 | 16.0 | 24016 | 5.3432 | |
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| 4.7383 | 17.0 | 25517 | 5.3308 | |
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| 4.675 | 18.0 | 27018 | 5.3203 | |
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| 4.6223 | 19.0 | 28519 | 5.3429 | |
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| 4.5733 | 20.0 | 30020 | 5.3362 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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