update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: output
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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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# output
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This model is a fine-tuned version of [EleutherAI/gpt-j-6B](https://huggingface.co/EleutherAI/gpt-j-6B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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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: 0.001
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- train_batch_size: 14
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- eval_batch_size: 14
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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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| No log | 0.03 | 10 | nan |
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| No log | 0.06 | 20 | nan |
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| No log | 0.08 | 30 | nan |
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| No log | 0.11 | 40 | nan |
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| No log | 0.14 | 50 | nan |
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| No log | 0.17 | 60 | nan |
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| No log | 0.2 | 70 | nan |
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| No log | 0.23 | 80 | nan |
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| No log | 0.25 | 90 | nan |
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| 0.9839 | 0.28 | 100 | nan |
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| 0.9839 | 0.31 | 110 | nan |
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| 0.9839 | 0.34 | 120 | nan |
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| 0.9839 | 0.37 | 130 | nan |
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| 0.9839 | 0.4 | 140 | nan |
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| 0.9839 | 0.42 | 150 | nan |
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| 0.9839 | 0.45 | 160 | nan |
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| 0.9839 | 0.48 | 170 | nan |
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| 0.9839 | 0.51 | 180 | nan |
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| 0.9839 | 0.54 | 190 | nan |
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| 0.0 | 0.56 | 200 | nan |
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| 0.0 | 0.59 | 210 | nan |
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| 0.0 | 0.62 | 220 | nan |
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| 0.0 | 0.65 | 230 | nan |
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| 0.0 | 0.68 | 240 | nan |
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| 0.0 | 0.71 | 250 | nan |
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| 0.0 | 0.73 | 260 | nan |
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| 0.0 | 0.76 | 270 | nan |
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| 0.0 | 0.79 | 280 | nan |
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| 0.0 | 0.82 | 290 | nan |
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| 0.0 | 0.85 | 300 | nan |
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| 0.0 | 0.88 | 310 | nan |
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| 0.0 | 0.9 | 320 | nan |
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| 0.0 | 0.93 | 330 | nan |
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| 0.0 | 0.96 | 340 | nan |
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| 0.0 | 0.99 | 350 | nan |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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