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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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datasets: |
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- AlekseyKorshuk/amazon-reviews-input-output |
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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-13b |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: AlekseyKorshuk/amazon-reviews-input-output |
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type: AlekseyKorshuk/amazon-reviews-input-output |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.040426829268292684 |
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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-13b |
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This model is a fine-tuned version of [facebook/opt-13b](https://huggingface.co/facebook/opt-13b) on the AlekseyKorshuk/amazon-reviews-input-output dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.7168 |
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- Accuracy: 0.0404 |
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- Samples: 100 |
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- Perplexity: 15.1318 |
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- Table: <wandb.data_types.Table object at 0x7f8c9a3fb6d0> |
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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: 1 |
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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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- gradient_accumulation_steps: 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: 1.0 |
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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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| 3.2134 | 0.96 | 15 | 2.7168 | 0.0404 | |
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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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