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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: multi-emails-hq-pythia-410m-deduped-r1
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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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# multi-emails-hq-pythia-410m-deduped-r1
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This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped](https://huggingface.co/EleutherAI/pythia-410m-deduped) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1018
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- Accuracy: 0.6157
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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: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 2
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- seed: 69
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 4.0
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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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| 2.3067 | 1.0 | 38 | 2.3559 | 0.5594 |
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| 1.9243 | 2.0 | 76 | 2.1283 | 0.5975 |
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| 1.5971 | 3.0 | 114 | 2.0759 | 0.6140 |
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| 1.4139 | 4.0 | 152 | 2.1018 | 0.6157 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 2.0.0.dev20230130+cu118
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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