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update model card README.md
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README.md
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---
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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: 1.3b-synthetic-v1-after-book
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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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# 1.3b-synthetic-v1-after-book
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9805
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- Accuracy: 0.0754
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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: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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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- total_train_batch_size: 32
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- total_eval_batch_size: 32
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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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- num_epochs: 1.0
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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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| 2.0841 | 0.1 | 1 | 2.0254 | 0.0759 |
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| 2.062 | 0.2 | 2 | 2.0254 | 0.0759 |
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| 2.1509 | 0.3 | 3 | 1.9941 | 0.0761 |
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| 2.1206 | 0.4 | 4 | 1.9941 | 0.0756 |
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| 2.2087 | 0.5 | 5 | 1.9941 | 0.0757 |
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| 2.0337 | 0.6 | 6 | 1.9902 | 0.0755 |
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| 2.026 | 0.7 | 7 | 1.9854 | 0.0755 |
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| 2.1879 | 0.8 | 8 | 1.9834 | 0.0756 |
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| 2.1052 | 0.9 | 9 | 1.9824 | 0.0754 |
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| 2.046 | 1.0 | 10 | 1.9805 | 0.0754 |
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### Framework versions
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- Transformers 4.25.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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