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End of training
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README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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datasets:
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# run_opt
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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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_steps: 100
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 4.9321 | 1.1 | 200 | 2.1585 |
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| 1.0026 | 1.65 | 300 | 0.3947 |
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| 0.2259 | 2.2 | 400 | 0.1365 |
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| 0.0801 | 2.75 | 500 | 0.0636 |
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| 0.0369 | 3.29 | 600 | 0.0379 |
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| 0.0212 | 3.84 | 700 | 0.0271 |
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| 0.0135 | 4.39 | 800 | 0.0216 |
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| 0.0103 | 4.94 | 900 | 0.0183 |
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| 0.0077 | 5.49 | 1000 | 0.0163 |
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| 0.0068 | 6.04 | 1100 | 0.0153 |
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| 0.0057 | 6.59 | 1200 | 0.0147 |
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| 0.0053 | 7.14 | 1300 | 0.0142 |
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| 0.0048 | 7.69 | 1400 | 0.0140 |
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| 0.0046 | 8.24 | 1500 | 0.0138 |
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| 0.0045 | 8.79 | 1600 | 0.0137 |
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| 0.0044 | 9.33 | 1700 | 0.0137 |
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| 0.0044 | 9.88 | 1800 | 0.0137 |
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### Framework versions
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---
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license: apache-2.0
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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datasets:
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# run_opt
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the wikitext dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.4719
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## Model description
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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_steps: 100
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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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| 7.7122 | 0.55 | 100 | 6.4719 |
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### Framework versions
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