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run_opt

Text Generation
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bert
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End of training

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  1. README.md +20 -20
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.2727
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  ## Model description
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@@ -36,7 +36,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 64
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  - eval_batch_size: 64
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  - seed: 42
@@ -51,24 +51,24 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 9.1471 | 0.55 | 50 | 7.9703 |
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- | 7.1714 | 1.1 | 100 | 6.6558 |
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- | 6.4707 | 1.65 | 150 | 6.2924 |
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- | 6.072 | 2.19 | 200 | 5.8048 |
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- | 5.1389 | 2.74 | 250 | 3.8826 |
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- | 3.1897 | 3.29 | 300 | 2.3133 |
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- | 1.9697 | 3.84 | 350 | 1.4230 |
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- | 1.2783 | 4.39 | 400 | 0.9488 |
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- | 0.8952 | 4.94 | 450 | 0.6810 |
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- | 0.6593 | 5.49 | 500 | 0.5228 |
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- | 0.5278 | 6.04 | 550 | 0.4249 |
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- | 0.4339 | 6.58 | 600 | 0.3630 |
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- | 0.3809 | 7.13 | 650 | 0.3237 |
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- | 0.3443 | 7.68 | 700 | 0.2991 |
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- | 0.3212 | 8.23 | 750 | 0.2843 |
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- | 0.3094 | 8.78 | 800 | 0.2765 |
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- | 0.3033 | 9.33 | 850 | 0.2734 |
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- | 0.3 | 9.88 | 900 | 0.2727 |
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  ### Framework versions
 
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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: 0.0165
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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: 0.0003
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  - train_batch_size: 64
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  - eval_batch_size: 64
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 8.562 | 0.55 | 50 | 6.9697 |
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+ | 6.63 | 1.1 | 100 | 6.3436 |
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+ | 5.938 | 1.65 | 150 | 5.1110 |
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+ | 3.0597 | 2.19 | 200 | 1.4150 |
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+ | 0.7989 | 2.74 | 250 | 0.3477 |
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+ | 0.2227 | 3.29 | 300 | 0.1284 |
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+ | 0.0925 | 3.84 | 350 | 0.0640 |
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+ | 0.0475 | 4.39 | 400 | 0.0412 |
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+ | 0.0314 | 4.94 | 450 | 0.0304 |
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+ | 0.0217 | 5.49 | 500 | 0.0246 |
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+ | 0.0181 | 6.04 | 550 | 0.0215 |
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+ | 0.0146 | 6.58 | 600 | 0.0194 |
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+ | 0.0132 | 7.13 | 650 | 0.0182 |
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+ | 0.012 | 7.68 | 700 | 0.0174 |
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+ | 0.0114 | 8.23 | 750 | 0.0169 |
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+ | 0.011 | 8.78 | 800 | 0.0167 |
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+ | 0.0108 | 9.33 | 850 | 0.0166 |
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+ | 0.0106 | 9.88 | 900 | 0.0165 |
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  ### Framework versions