update model card README.md
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README.md
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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- seed: 10
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- distributed_type: multi-GPU
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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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- lr_scheduler_warmup_steps: 10000
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.0 | 1.2 | 110000 | nan | 0.0000 |
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| 0.0 | 1.31 | 120000 | nan | 0.0000 |
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| 0.0 | 1.42 | 130000 | nan | 0.0000 |
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| 0.0 | 1.53 | 140000 | nan | 0.0000 |
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### Framework versions
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- Transformers 4.
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- Pytorch 1.14.0a0+410ce96
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.0612
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- Accuracy: 0.1510
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 48
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- eval_batch_size: 48
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- seed: 10
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- distributed_type: multi-GPU
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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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- lr_scheduler_warmup_steps: 10000
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- num_epochs: 5
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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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| 6.6173 | 0.08 | 10000 | 6.5823 | 0.1275 |
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| 6.4901 | 0.16 | 20000 | 6.3925 | 0.1398 |
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| 6.2875 | 0.25 | 30000 | 6.3106 | 0.1439 |
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| 6.2516 | 0.33 | 40000 | 6.2511 | 0.1465 |
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| 6.2457 | 0.41 | 50000 | 6.2064 | 0.1478 |
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| 6.1715 | 0.49 | 60000 | 6.1655 | 0.1486 |
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| 6.0838 | 0.57 | 70000 | 6.1332 | 0.1494 |
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| 6.1575 | 0.66 | 80000 | 6.1049 | 0.1503 |
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| 6.0773 | 0.74 | 90000 | 6.0814 | 0.1504 |
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| 6.1838 | 0.82 | 100000 | 6.0612 | 0.1510 |
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### Framework versions
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- Transformers 4.30.0
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- Pytorch 1.14.0a0+410ce96
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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