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update model card README.md
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README.md
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---
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license: other
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: amazon-reviews-input-output-6.7b
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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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# amazon-reviews-input-output-6.7b
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This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8574
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- Accuracy: 0.0388
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 64
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- total_eval_batch_size: 64
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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: 2.0
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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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| 2.9912 | 0.06 | 1 | 2.7441 | 0.0404 |
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| 2.9329 | 0.12 | 2 | 2.7441 | 0.0404 |
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| 2.9138 | 0.19 | 3 | 2.8262 | 0.0389 |
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| 2.9395 | 0.25 | 4 | 2.8262 | 0.0389 |
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| 2.9109 | 0.31 | 5 | 2.7949 | 0.0399 |
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| 2.8394 | 0.38 | 6 | 2.7461 | 0.0403 |
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| 2.9365 | 0.44 | 7 | 2.7207 | 0.0399 |
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| 2.7588 | 0.5 | 8 | 2.7070 | 0.0403 |
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| 2.9751 | 0.56 | 9 | 2.6816 | 0.0407 |
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| 2.844 | 0.62 | 10 | 2.6738 | 0.0404 |
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| 2.731 | 0.69 | 11 | 2.6680 | 0.0406 |
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| 2.7434 | 0.75 | 12 | 2.6699 | 0.0404 |
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| 2.9043 | 0.81 | 13 | 2.6855 | 0.0400 |
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| 2.8564 | 0.88 | 14 | 2.6855 | 0.0400 |
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| 2.8716 | 0.94 | 15 | 2.6855 | 0.0400 |
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| 2.896 | 1.0 | 16 | 2.6953 | 0.0398 |
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| 1.9858 | 1.06 | 17 | 2.7070 | 0.0400 |
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| 2.0563 | 1.12 | 18 | 2.7285 | 0.0400 |
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| 2.04 | 1.19 | 19 | 2.7676 | 0.0398 |
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| 1.9885 | 1.25 | 20 | 2.7910 | 0.0396 |
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| 2.09 | 1.31 | 21 | 2.7969 | 0.0393 |
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| 2.059 | 1.38 | 22 | 2.8105 | 0.0395 |
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| 2.0498 | 1.44 | 23 | 2.7930 | 0.0398 |
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| 1.9568 | 1.5 | 24 | 2.7910 | 0.0401 |
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| 2.1418 | 1.56 | 25 | 2.7930 | 0.0398 |
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| 1.975 | 1.62 | 26 | 2.7930 | 0.0397 |
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| 1.996 | 1.69 | 27 | 2.7949 | 0.0393 |
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| 1.9617 | 1.75 | 28 | 2.8047 | 0.0392 |
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| 2.2062 | 1.81 | 29 | 2.8145 | 0.0388 |
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| 1.9929 | 1.88 | 30 | 2.8145 | 0.0386 |
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| 1.9235 | 1.94 | 31 | 2.8281 | 0.0390 |
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| 1.9127 | 2.0 | 32 | 2.8574 | 0.0388 |
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### Framework versions
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- Transformers 4.25.0.dev0
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- Pytorch 1.12.1+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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