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README.md
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---
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---
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## Training procedure
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The following
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###
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| 1 |
---
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license: mit
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base_model: vicgalle/gpt2-alpaca-gpt4
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt2-alpaca-pandalm
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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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# gpt2-alpaca-pandalm
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This model is a fine-tuned version of [vicgalle/gpt2-alpaca-gpt4](https://huggingface.co/vicgalle/gpt2-alpaca-gpt4) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8219
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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: 0.0002
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- train_batch_size: 4
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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: cosine
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- lr_scheduler_warmup_ratio: 0.03
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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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| 50 |
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| No log | 0.0 | 200 | 2.2796 |
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| No log | 0.01 | 400 | 1.7930 |
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| No log | 0.01 | 600 | 1.2870 |
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| 53 |
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| No log | 0.01 | 800 | 1.1460 |
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| 54 |
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| No log | 0.01 | 1000 | 1.0742 |
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| No log | 0.02 | 1200 | 1.0431 |
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| No log | 0.02 | 1400 | 1.0250 |
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| No log | 0.02 | 1600 | 1.0108 |
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| 58 |
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| No log | 0.03 | 1800 | 0.9998 |
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| 59 |
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| No log | 0.03 | 2000 | 0.9937 |
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| No log | 0.03 | 2200 | 0.9791 |
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| No log | 0.03 | 2400 | 0.9817 |
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| 62 |
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| No log | 0.04 | 2600 | 0.9617 |
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| No log | 0.04 | 2800 | 0.9580 |
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| 1.2199 | 0.04 | 3000 | 0.9757 |
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| 1.2199 | 0.04 | 3200 | 0.9541 |
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| 1.2199 | 0.05 | 3400 | 0.9548 |
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| 1.2199 | 0.05 | 3600 | 0.9485 |
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| 68 |
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| 1.2199 | 0.05 | 3800 | 0.9395 |
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| 69 |
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| 1.2199 | 0.06 | 4000 | 0.9413 |
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| 1.2199 | 0.06 | 4200 | 0.9336 |
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| 71 |
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| 1.2199 | 0.06 | 4400 | 0.9369 |
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| 72 |
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| 1.2199 | 0.06 | 4600 | 0.9346 |
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| 73 |
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| 1.2199 | 0.07 | 4800 | 0.9277 |
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| 74 |
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| 1.2199 | 0.07 | 5000 | 0.9255 |
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| 1.2199 | 0.07 | 5200 | 0.9253 |
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| 1.2199 | 0.08 | 5400 | 0.9152 |
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| 1.2199 | 0.08 | 5600 | 0.9203 |
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| 1.2199 | 0.08 | 5800 | 0.9244 |
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| 79 |
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| 0.9222 | 0.08 | 6000 | 0.9178 |
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| 0.9222 | 0.09 | 6200 | 0.9230 |
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| 0.9222 | 0.09 | 6400 | 0.9109 |
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| 0.9222 | 0.09 | 6600 | 0.9132 |
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| 0.9222 | 0.09 | 6800 | 0.9159 |
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| 84 |
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| 0.9222 | 0.1 | 7000 | 0.9090 |
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| 0.9222 | 0.1 | 7200 | 0.9073 |
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| 86 |
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| 0.9222 | 0.1 | 7400 | 0.9115 |
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| 87 |
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| 0.9222 | 0.11 | 7600 | 0.9125 |
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| 88 |
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| 0.9222 | 0.11 | 7800 | 0.9087 |
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| 0.9222 | 0.11 | 8000 | 0.9103 |
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| 90 |
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| 0.9222 | 0.11 | 8200 | 0.9061 |
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| 91 |
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| 0.9222 | 0.12 | 8400 | 0.9047 |
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| 92 |
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| 0.9222 | 0.12 | 8600 | 0.9025 |
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| 93 |
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| 0.9222 | 0.12 | 8800 | 0.9023 |
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| 94 |
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| 0.8883 | 0.13 | 9000 | 0.8949 |
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| 95 |
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| 0.8883 | 0.13 | 9200 | 0.8939 |
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| 96 |
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| 0.8883 | 0.13 | 9400 | 0.8942 |
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| 97 |
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| 0.8883 | 0.13 | 9600 | 0.8993 |
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| 98 |
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| 0.8883 | 0.14 | 9800 | 0.8925 |
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| 0.8883 | 0.14 | 10000 | 0.8891 |
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| 0.8883 | 0.14 | 10200 | 0.8874 |
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| 0.8883 | 0.15 | 10400 | 0.8941 |
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| 102 |
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| 0.8883 | 0.15 | 10600 | 0.8905 |
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| 103 |
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| 0.8883 | 0.15 | 10800 | 0.8863 |
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| 104 |
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| 0.8883 | 0.15 | 11000 | 0.8916 |
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| 105 |
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| 0.8883 | 0.16 | 11200 | 0.8902 |
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| 106 |
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| 0.8883 | 0.16 | 11400 | 0.8851 |
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| 107 |
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| 0.8883 | 0.16 | 11600 | 0.8832 |
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| 108 |
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| 0.8883 | 0.16 | 11800 | 0.8824 |
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| 109 |
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| 0.8719 | 0.17 | 12000 | 0.8793 |
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| 110 |
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| 0.8719 | 0.17 | 12200 | 0.8797 |
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| 111 |
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| 0.8719 | 0.17 | 12400 | 0.8810 |
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| 112 |
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| 0.8719 | 0.18 | 12600 | 0.8796 |
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| 113 |
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| 0.8719 | 0.18 | 12800 | 0.8749 |
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| 114 |
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| 0.8719 | 0.18 | 13000 | 0.8740 |
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| 115 |
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| 0.8719 | 0.18 | 13200 | 0.8757 |
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| 116 |
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| 0.8719 | 0.19 | 13400 | 0.8767 |
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| 117 |
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| 0.8719 | 0.19 | 13600 | 0.8778 |
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| 118 |
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| 0.8719 | 0.19 | 13800 | 0.8793 |
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| 119 |
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| 0.8719 | 0.2 | 14000 | 0.8776 |
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| 120 |
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| 0.8719 | 0.2 | 14200 | 0.8740 |
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| 121 |
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| 0.8719 | 0.2 | 14400 | 0.8731 |
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| 122 |
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| 0.8719 | 0.2 | 14600 | 0.8729 |
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| 123 |
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| 0.8719 | 0.21 | 14800 | 0.8733 |
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| 124 |
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| 0.8605 | 0.21 | 15000 | 0.8739 |
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| 125 |
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| 0.8605 | 0.21 | 15200 | 0.8669 |
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| 126 |
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| 0.8605 | 0.21 | 15400 | 0.8629 |
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| 127 |
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| 0.8605 | 0.22 | 15600 | 0.8673 |
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| 128 |
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| 0.8605 | 0.22 | 15800 | 0.8653 |
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| 129 |
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| 0.8605 | 0.22 | 16000 | 0.8703 |
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| 130 |
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| 0.8605 | 0.23 | 16200 | 0.8685 |
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| 131 |
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| 0.8605 | 0.23 | 16400 | 0.8693 |
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| 132 |
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| 0.8605 | 0.23 | 16600 | 0.8684 |
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| 133 |
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| 0.8605 | 0.23 | 16800 | 0.8629 |
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| 134 |
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| 0.8605 | 0.24 | 17000 | 0.8643 |
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| 135 |
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| 0.8605 | 0.24 | 17200 | 0.8625 |
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| 136 |
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| 0.8605 | 0.24 | 17400 | 0.8604 |
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| 137 |
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| 0.8605 | 0.25 | 17600 | 0.8599 |
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| 138 |
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| 0.8605 | 0.25 | 17800 | 0.8617 |
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| 139 |
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| 0.8537 | 0.25 | 18000 | 0.8618 |
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| 140 |
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| 0.8537 | 0.25 | 18200 | 0.8608 |
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| 141 |
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| 0.8537 | 0.26 | 18400 | 0.8626 |
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| 142 |
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| 0.8537 | 0.26 | 18600 | 0.8607 |
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| 143 |
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| 0.8537 | 0.26 | 18800 | 0.8577 |
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| 144 |
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| 0.8537 | 0.26 | 19000 | 0.8584 |
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| 145 |
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| 0.8537 | 0.27 | 19200 | 0.8597 |
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| 146 |
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| 0.8537 | 0.27 | 19400 | 0.8561 |
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| 147 |
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| 0.8537 | 0.27 | 19600 | 0.8578 |
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| 148 |
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| 0.8537 | 0.28 | 19800 | 0.8545 |
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| 149 |
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| 0.8537 | 0.28 | 20000 | 0.8539 |
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| 150 |
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| 0.8537 | 0.28 | 20200 | 0.8578 |
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| 151 |
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| 0.8537 | 0.28 | 20400 | 0.8536 |
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| 152 |
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| 0.8537 | 0.29 | 20600 | 0.8527 |
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| 153 |
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| 0.8537 | 0.29 | 20800 | 0.8551 |
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| 154 |
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| 0.8472 | 0.29 | 21000 | 0.8542 |
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| 155 |
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| 0.8472 | 0.3 | 21200 | 0.8547 |
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| 156 |
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| 0.8472 | 0.3 | 21400 | 0.8528 |
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| 157 |
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| 0.8472 | 0.3 | 21600 | 0.8540 |
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| 158 |
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| 0.8472 | 0.3 | 21800 | 0.8503 |
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| 159 |
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| 0.8472 | 0.31 | 22000 | 0.8498 |
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| 160 |
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| 0.8472 | 0.31 | 22200 | 0.8502 |
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| 161 |
+
| 0.8472 | 0.31 | 22400 | 0.8522 |
|
| 162 |
+
| 0.8472 | 0.32 | 22600 | 0.8499 |
|
| 163 |
+
| 0.8472 | 0.32 | 22800 | 0.8511 |
|
| 164 |
+
| 0.8472 | 0.32 | 23000 | 0.8503 |
|
| 165 |
+
| 0.8472 | 0.32 | 23200 | 0.8498 |
|
| 166 |
+
| 0.8472 | 0.33 | 23400 | 0.8463 |
|
| 167 |
+
| 0.8472 | 0.33 | 23600 | 0.8488 |
|
| 168 |
+
| 0.8472 | 0.33 | 23800 | 0.8510 |
|
| 169 |
+
| 0.8421 | 0.33 | 24000 | 0.8479 |
|
| 170 |
+
| 0.8421 | 0.34 | 24200 | 0.8486 |
|
| 171 |
+
| 0.8421 | 0.34 | 24400 | 0.8485 |
|
| 172 |
+
| 0.8421 | 0.34 | 24600 | 0.8484 |
|
| 173 |
+
| 0.8421 | 0.35 | 24800 | 0.8495 |
|
| 174 |
+
| 0.8421 | 0.35 | 25000 | 0.8475 |
|
| 175 |
+
| 0.8421 | 0.35 | 25200 | 0.8484 |
|
| 176 |
+
| 0.8421 | 0.35 | 25400 | 0.8479 |
|
| 177 |
+
| 0.8421 | 0.36 | 25600 | 0.8479 |
|
| 178 |
+
| 0.8421 | 0.36 | 25800 | 0.8452 |
|
| 179 |
+
| 0.8421 | 0.36 | 26000 | 0.8481 |
|
| 180 |
+
| 0.8421 | 0.37 | 26200 | 0.8479 |
|
| 181 |
+
| 0.8421 | 0.37 | 26400 | 0.8442 |
|
| 182 |
+
| 0.8421 | 0.37 | 26600 | 0.8441 |
|
| 183 |
+
| 0.8421 | 0.37 | 26800 | 0.8440 |
|
| 184 |
+
| 0.8377 | 0.38 | 27000 | 0.8412 |
|
| 185 |
+
| 0.8377 | 0.38 | 27200 | 0.8421 |
|
| 186 |
+
| 0.8377 | 0.38 | 27400 | 0.8432 |
|
| 187 |
+
| 0.8377 | 0.38 | 27600 | 0.8425 |
|
| 188 |
+
| 0.8377 | 0.39 | 27800 | 0.8432 |
|
| 189 |
+
| 0.8377 | 0.39 | 28000 | 0.8432 |
|
| 190 |
+
| 0.8377 | 0.39 | 28200 | 0.8421 |
|
| 191 |
+
| 0.8377 | 0.4 | 28400 | 0.8435 |
|
| 192 |
+
| 0.8377 | 0.4 | 28600 | 0.8432 |
|
| 193 |
+
| 0.8377 | 0.4 | 28800 | 0.8417 |
|
| 194 |
+
| 0.8377 | 0.4 | 29000 | 0.8403 |
|
| 195 |
+
| 0.8377 | 0.41 | 29200 | 0.8444 |
|
| 196 |
+
| 0.8377 | 0.41 | 29400 | 0.8425 |
|
| 197 |
+
| 0.8377 | 0.41 | 29600 | 0.8422 |
|
| 198 |
+
| 0.8377 | 0.42 | 29800 | 0.8438 |
|
| 199 |
+
| 0.8291 | 0.42 | 30000 | 0.8399 |
|
| 200 |
+
| 0.8291 | 0.42 | 30200 | 0.8450 |
|
| 201 |
+
| 0.8291 | 0.42 | 30400 | 0.8421 |
|
| 202 |
+
| 0.8291 | 0.43 | 30600 | 0.8402 |
|
| 203 |
+
| 0.8291 | 0.43 | 30800 | 0.8441 |
|
| 204 |
+
| 0.8291 | 0.43 | 31000 | 0.8418 |
|
| 205 |
+
| 0.8291 | 0.44 | 31200 | 0.8422 |
|
| 206 |
+
| 0.8291 | 0.44 | 31400 | 0.8376 |
|
| 207 |
+
| 0.8291 | 0.44 | 31600 | 0.8386 |
|
| 208 |
+
| 0.8291 | 0.44 | 31800 | 0.8412 |
|
| 209 |
+
| 0.8291 | 0.45 | 32000 | 0.8447 |
|
| 210 |
+
| 0.8291 | 0.45 | 32200 | 0.8428 |
|
| 211 |
+
| 0.8291 | 0.45 | 32400 | 0.8409 |
|
| 212 |
+
| 0.8291 | 0.45 | 32600 | 0.8375 |
|
| 213 |
+
| 0.8291 | 0.46 | 32800 | 0.8354 |
|
| 214 |
+
| 0.8279 | 0.46 | 33000 | 0.8360 |
|
| 215 |
+
| 0.8279 | 0.46 | 33200 | 0.8373 |
|
| 216 |
+
| 0.8279 | 0.47 | 33400 | 0.8372 |
|
| 217 |
+
| 0.8279 | 0.47 | 33600 | 0.8393 |
|
| 218 |
+
| 0.8279 | 0.47 | 33800 | 0.8363 |
|
| 219 |
+
| 0.8279 | 0.47 | 34000 | 0.8370 |
|
| 220 |
+
| 0.8279 | 0.48 | 34200 | 0.8359 |
|
| 221 |
+
| 0.8279 | 0.48 | 34400 | 0.8336 |
|
| 222 |
+
| 0.8279 | 0.48 | 34600 | 0.8334 |
|
| 223 |
+
| 0.8279 | 0.49 | 34800 | 0.8322 |
|
| 224 |
+
| 0.8279 | 0.49 | 35000 | 0.8326 |
|
| 225 |
+
| 0.8279 | 0.49 | 35200 | 0.8315 |
|
| 226 |
+
| 0.8279 | 0.49 | 35400 | 0.8354 |
|
| 227 |
+
| 0.8279 | 0.5 | 35600 | 0.8360 |
|
| 228 |
+
| 0.8279 | 0.5 | 35800 | 0.8321 |
|
| 229 |
+
| 0.8254 | 0.5 | 36000 | 0.8341 |
|
| 230 |
+
| 0.8254 | 0.5 | 36200 | 0.8350 |
|
| 231 |
+
| 0.8254 | 0.51 | 36400 | 0.8344 |
|
| 232 |
+
| 0.8254 | 0.51 | 36600 | 0.8335 |
|
| 233 |
+
| 0.8254 | 0.51 | 36800 | 0.8337 |
|
| 234 |
+
| 0.8254 | 0.52 | 37000 | 0.8305 |
|
| 235 |
+
| 0.8254 | 0.52 | 37200 | 0.8308 |
|
| 236 |
+
| 0.8254 | 0.52 | 37400 | 0.8319 |
|
| 237 |
+
| 0.8254 | 0.52 | 37600 | 0.8320 |
|
| 238 |
+
| 0.8254 | 0.53 | 37800 | 0.8292 |
|
| 239 |
+
| 0.8254 | 0.53 | 38000 | 0.8316 |
|
| 240 |
+
| 0.8254 | 0.53 | 38200 | 0.8329 |
|
| 241 |
+
| 0.8254 | 0.54 | 38400 | 0.8314 |
|
| 242 |
+
| 0.8254 | 0.54 | 38600 | 0.8301 |
|
| 243 |
+
| 0.8254 | 0.54 | 38800 | 0.8319 |
|
| 244 |
+
| 0.822 | 0.54 | 39000 | 0.8325 |
|
| 245 |
+
| 0.822 | 0.55 | 39200 | 0.8313 |
|
| 246 |
+
| 0.822 | 0.55 | 39400 | 0.8305 |
|
| 247 |
+
| 0.822 | 0.55 | 39600 | 0.8303 |
|
| 248 |
+
| 0.822 | 0.55 | 39800 | 0.8283 |
|
| 249 |
+
| 0.822 | 0.56 | 40000 | 0.8315 |
|
| 250 |
+
| 0.822 | 0.56 | 40200 | 0.8280 |
|
| 251 |
+
| 0.822 | 0.56 | 40400 | 0.8316 |
|
| 252 |
+
| 0.822 | 0.57 | 40600 | 0.8303 |
|
| 253 |
+
| 0.822 | 0.57 | 40800 | 0.8317 |
|
| 254 |
+
| 0.822 | 0.57 | 41000 | 0.8302 |
|
| 255 |
+
| 0.822 | 0.57 | 41200 | 0.8298 |
|
| 256 |
+
| 0.822 | 0.58 | 41400 | 0.8313 |
|
| 257 |
+
| 0.822 | 0.58 | 41600 | 0.8304 |
|
| 258 |
+
| 0.822 | 0.58 | 41800 | 0.8289 |
|
| 259 |
+
| 0.819 | 0.59 | 42000 | 0.8293 |
|
| 260 |
+
| 0.819 | 0.59 | 42200 | 0.8315 |
|
| 261 |
+
| 0.819 | 0.59 | 42400 | 0.8250 |
|
| 262 |
+
| 0.819 | 0.59 | 42600 | 0.8264 |
|
| 263 |
+
| 0.819 | 0.6 | 42800 | 0.8282 |
|
| 264 |
+
| 0.819 | 0.6 | 43000 | 0.8290 |
|
| 265 |
+
| 0.819 | 0.6 | 43200 | 0.8283 |
|
| 266 |
+
| 0.819 | 0.61 | 43400 | 0.8291 |
|
| 267 |
+
| 0.819 | 0.61 | 43600 | 0.8271 |
|
| 268 |
+
| 0.819 | 0.61 | 43800 | 0.8261 |
|
| 269 |
+
| 0.819 | 0.61 | 44000 | 0.8276 |
|
| 270 |
+
| 0.819 | 0.62 | 44200 | 0.8274 |
|
| 271 |
+
| 0.819 | 0.62 | 44400 | 0.8279 |
|
| 272 |
+
| 0.819 | 0.62 | 44600 | 0.8264 |
|
| 273 |
+
| 0.819 | 0.62 | 44800 | 0.8275 |
|
| 274 |
+
| 0.8203 | 0.63 | 45000 | 0.8266 |
|
| 275 |
+
| 0.8203 | 0.63 | 45200 | 0.8259 |
|
| 276 |
+
| 0.8203 | 0.63 | 45400 | 0.8277 |
|
| 277 |
+
| 0.8203 | 0.64 | 45600 | 0.8269 |
|
| 278 |
+
| 0.8203 | 0.64 | 45800 | 0.8261 |
|
| 279 |
+
| 0.8203 | 0.64 | 46000 | 0.8245 |
|
| 280 |
+
| 0.8203 | 0.64 | 46200 | 0.8243 |
|
| 281 |
+
| 0.8203 | 0.65 | 46400 | 0.8242 |
|
| 282 |
+
| 0.8203 | 0.65 | 46600 | 0.8244 |
|
| 283 |
+
| 0.8203 | 0.65 | 46800 | 0.8237 |
|
| 284 |
+
| 0.8203 | 0.66 | 47000 | 0.8247 |
|
| 285 |
+
| 0.8203 | 0.66 | 47200 | 0.8238 |
|
| 286 |
+
| 0.8203 | 0.66 | 47400 | 0.8239 |
|
| 287 |
+
| 0.8203 | 0.66 | 47600 | 0.8252 |
|
| 288 |
+
| 0.8203 | 0.67 | 47800 | 0.8267 |
|
| 289 |
+
| 0.8169 | 0.67 | 48000 | 0.8245 |
|
| 290 |
+
| 0.8169 | 0.67 | 48200 | 0.8251 |
|
| 291 |
+
| 0.8169 | 0.67 | 48400 | 0.8247 |
|
| 292 |
+
| 0.8169 | 0.68 | 48600 | 0.8252 |
|
| 293 |
+
| 0.8169 | 0.68 | 48800 | 0.8259 |
|
| 294 |
+
| 0.8169 | 0.68 | 49000 | 0.8244 |
|
| 295 |
+
| 0.8169 | 0.69 | 49200 | 0.8245 |
|
| 296 |
+
| 0.8169 | 0.69 | 49400 | 0.8260 |
|
| 297 |
+
| 0.8169 | 0.69 | 49600 | 0.8265 |
|
| 298 |
+
| 0.8169 | 0.69 | 49800 | 0.8258 |
|
| 299 |
+
| 0.8169 | 0.7 | 50000 | 0.8274 |
|
| 300 |
+
| 0.8169 | 0.7 | 50200 | 0.8287 |
|
| 301 |
+
| 0.8169 | 0.7 | 50400 | 0.8280 |
|
| 302 |
+
| 0.8169 | 0.71 | 50600 | 0.8266 |
|
| 303 |
+
| 0.8169 | 0.71 | 50800 | 0.8259 |
|
| 304 |
+
| 0.8153 | 0.71 | 51000 | 0.8263 |
|
| 305 |
+
| 0.8153 | 0.71 | 51200 | 0.8260 |
|
| 306 |
+
| 0.8153 | 0.72 | 51400 | 0.8258 |
|
| 307 |
+
| 0.8153 | 0.72 | 51600 | 0.8251 |
|
| 308 |
+
| 0.8153 | 0.72 | 51800 | 0.8250 |
|
| 309 |
+
| 0.8153 | 0.73 | 52000 | 0.8254 |
|
| 310 |
+
| 0.8153 | 0.73 | 52200 | 0.8244 |
|
| 311 |
+
| 0.8153 | 0.73 | 52400 | 0.8236 |
|
| 312 |
+
| 0.8153 | 0.73 | 52600 | 0.8234 |
|
| 313 |
+
| 0.8153 | 0.74 | 52800 | 0.8251 |
|
| 314 |
+
| 0.8153 | 0.74 | 53000 | 0.8246 |
|
| 315 |
+
| 0.8153 | 0.74 | 53200 | 0.8248 |
|
| 316 |
+
| 0.8153 | 0.74 | 53400 | 0.8236 |
|
| 317 |
+
| 0.8153 | 0.75 | 53600 | 0.8243 |
|
| 318 |
+
| 0.8153 | 0.75 | 53800 | 0.8255 |
|
| 319 |
+
| 0.8123 | 0.75 | 54000 | 0.8246 |
|
| 320 |
+
| 0.8123 | 0.76 | 54200 | 0.8235 |
|
| 321 |
+
| 0.8123 | 0.76 | 54400 | 0.8235 |
|
| 322 |
+
| 0.8123 | 0.76 | 54600 | 0.8235 |
|
| 323 |
+
| 0.8123 | 0.76 | 54800 | 0.8238 |
|
| 324 |
+
| 0.8123 | 0.77 | 55000 | 0.8242 |
|
| 325 |
+
| 0.8123 | 0.77 | 55200 | 0.8233 |
|
| 326 |
+
| 0.8123 | 0.77 | 55400 | 0.8236 |
|
| 327 |
+
| 0.8123 | 0.78 | 55600 | 0.8226 |
|
| 328 |
+
| 0.8123 | 0.78 | 55800 | 0.8225 |
|
| 329 |
+
| 0.8123 | 0.78 | 56000 | 0.8220 |
|
| 330 |
+
| 0.8123 | 0.78 | 56200 | 0.8228 |
|
| 331 |
+
| 0.8123 | 0.79 | 56400 | 0.8230 |
|
| 332 |
+
| 0.8123 | 0.79 | 56600 | 0.8226 |
|
| 333 |
+
| 0.8123 | 0.79 | 56800 | 0.8223 |
|
| 334 |
+
| 0.8106 | 0.79 | 57000 | 0.8229 |
|
| 335 |
+
| 0.8106 | 0.8 | 57200 | 0.8225 |
|
| 336 |
+
| 0.8106 | 0.8 | 57400 | 0.8229 |
|
| 337 |
+
| 0.8106 | 0.8 | 57600 | 0.8230 |
|
| 338 |
+
| 0.8106 | 0.81 | 57800 | 0.8234 |
|
| 339 |
+
| 0.8106 | 0.81 | 58000 | 0.8230 |
|
| 340 |
+
| 0.8106 | 0.81 | 58200 | 0.8231 |
|
| 341 |
+
| 0.8106 | 0.81 | 58400 | 0.8227 |
|
| 342 |
+
| 0.8106 | 0.82 | 58600 | 0.8227 |
|
| 343 |
+
| 0.8106 | 0.82 | 58800 | 0.8213 |
|
| 344 |
+
| 0.8106 | 0.82 | 59000 | 0.8209 |
|
| 345 |
+
| 0.8106 | 0.83 | 59200 | 0.8213 |
|
| 346 |
+
| 0.8106 | 0.83 | 59400 | 0.8214 |
|
| 347 |
+
| 0.8106 | 0.83 | 59600 | 0.8219 |
|
| 348 |
+
| 0.8106 | 0.83 | 59800 | 0.8220 |
|
| 349 |
+
| 0.813 | 0.84 | 60000 | 0.8214 |
|
| 350 |
+
| 0.813 | 0.84 | 60200 | 0.8217 |
|
| 351 |
+
| 0.813 | 0.84 | 60400 | 0.8217 |
|
| 352 |
+
| 0.813 | 0.85 | 60600 | 0.8221 |
|
| 353 |
+
| 0.813 | 0.85 | 60800 | 0.8227 |
|
| 354 |
+
| 0.813 | 0.85 | 61000 | 0.8225 |
|
| 355 |
+
| 0.813 | 0.85 | 61200 | 0.8226 |
|
| 356 |
+
| 0.813 | 0.86 | 61400 | 0.8218 |
|
| 357 |
+
| 0.813 | 0.86 | 61600 | 0.8223 |
|
| 358 |
+
| 0.813 | 0.86 | 61800 | 0.8229 |
|
| 359 |
+
| 0.813 | 0.86 | 62000 | 0.8224 |
|
| 360 |
+
| 0.813 | 0.87 | 62200 | 0.8222 |
|
| 361 |
+
| 0.813 | 0.87 | 62400 | 0.8222 |
|
| 362 |
+
| 0.813 | 0.87 | 62600 | 0.8224 |
|
| 363 |
+
| 0.813 | 0.88 | 62800 | 0.8224 |
|
| 364 |
+
| 0.8073 | 0.88 | 63000 | 0.8226 |
|
| 365 |
+
| 0.8073 | 0.88 | 63200 | 0.8222 |
|
| 366 |
+
| 0.8073 | 0.88 | 63400 | 0.8219 |
|
| 367 |
+
| 0.8073 | 0.89 | 63600 | 0.8216 |
|
| 368 |
+
| 0.8073 | 0.89 | 63800 | 0.8214 |
|
| 369 |
+
| 0.8073 | 0.89 | 64000 | 0.8212 |
|
| 370 |
+
| 0.8073 | 0.9 | 64200 | 0.8214 |
|
| 371 |
+
| 0.8073 | 0.9 | 64400 | 0.8216 |
|
| 372 |
+
| 0.8073 | 0.9 | 64600 | 0.8217 |
|
| 373 |
+
| 0.8073 | 0.9 | 64800 | 0.8219 |
|
| 374 |
+
| 0.8073 | 0.91 | 65000 | 0.8217 |
|
| 375 |
+
| 0.8073 | 0.91 | 65200 | 0.8217 |
|
| 376 |
+
| 0.8073 | 0.91 | 65400 | 0.8217 |
|
| 377 |
+
| 0.8073 | 0.91 | 65600 | 0.8219 |
|
| 378 |
+
| 0.8073 | 0.92 | 65800 | 0.8219 |
|
| 379 |
+
| 0.8095 | 0.92 | 66000 | 0.8217 |
|
| 380 |
+
| 0.8095 | 0.92 | 66200 | 0.8218 |
|
| 381 |
+
| 0.8095 | 0.93 | 66400 | 0.8218 |
|
| 382 |
+
| 0.8095 | 0.93 | 66600 | 0.8217 |
|
| 383 |
+
| 0.8095 | 0.93 | 66800 | 0.8217 |
|
| 384 |
+
| 0.8095 | 0.93 | 67000 | 0.8216 |
|
| 385 |
+
| 0.8095 | 0.94 | 67200 | 0.8217 |
|
| 386 |
+
| 0.8095 | 0.94 | 67400 | 0.8218 |
|
| 387 |
+
| 0.8095 | 0.94 | 67600 | 0.8218 |
|
| 388 |
+
| 0.8095 | 0.95 | 67800 | 0.8218 |
|
| 389 |
+
| 0.8095 | 0.95 | 68000 | 0.8217 |
|
| 390 |
+
| 0.8095 | 0.95 | 68200 | 0.8218 |
|
| 391 |
+
| 0.8095 | 0.95 | 68400 | 0.8218 |
|
| 392 |
+
| 0.8095 | 0.96 | 68600 | 0.8219 |
|
| 393 |
+
| 0.8095 | 0.96 | 68800 | 0.8219 |
|
| 394 |
+
| 0.8086 | 0.96 | 69000 | 0.8218 |
|
| 395 |
+
| 0.8086 | 0.96 | 69200 | 0.8218 |
|
| 396 |
+
| 0.8086 | 0.97 | 69400 | 0.8219 |
|
| 397 |
+
| 0.8086 | 0.97 | 69600 | 0.8218 |
|
| 398 |
+
| 0.8086 | 0.97 | 69800 | 0.8219 |
|
| 399 |
+
| 0.8086 | 0.98 | 70000 | 0.8219 |
|
| 400 |
+
| 0.8086 | 0.98 | 70200 | 0.8219 |
|
| 401 |
+
| 0.8086 | 0.98 | 70400 | 0.8219 |
|
| 402 |
+
| 0.8086 | 0.98 | 70600 | 0.8219 |
|
| 403 |
+
| 0.8086 | 0.99 | 70800 | 0.8219 |
|
| 404 |
+
| 0.8086 | 0.99 | 71000 | 0.8219 |
|
| 405 |
+
| 0.8086 | 0.99 | 71200 | 0.8219 |
|
| 406 |
+
| 0.8086 | 1.0 | 71400 | 0.8219 |
|
| 407 |
+
| 0.8086 | 1.0 | 71600 | 0.8219 |
|
| 408 |
+
|
| 409 |
+
|
| 410 |
+
### Framework versions
|
| 411 |
|
| 412 |
+
- Transformers 4.31.0
|
| 413 |
+
- Pytorch 2.1.2
|
| 414 |
+
- Datasets 2.18.0
|
| 415 |
+
- Tokenizers 0.13.3
|