Model save
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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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model-index:
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- name: dummy
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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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# dummy
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.8299
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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: 5e-05
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 10.8138 | 0.08 | 10 | 10.8044 |
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| 10.7944 | 0.16 | 20 | 10.7803 |
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| 10.7582 | 0.24 | 30 | 10.7152 |
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| 10.5902 | 0.32 | 40 | 10.2163 |
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| 9.8089 | 0.4 | 50 | 9.1952 |
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| 9.0218 | 0.48 | 60 | 8.6029 |
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| 8.5416 | 0.56 | 70 | 8.2792 |
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| 8.3655 | 0.64 | 80 | 8.0927 |
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| 8.2139 | 0.72 | 90 | 7.9744 |
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| 8.1098 | 0.8 | 100 | 7.8993 |
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| 8.0232 | 0.88 | 110 | 7.8529 |
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| 8.1088 | 0.96 | 120 | 7.8299 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.0.1
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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