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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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model-index: |
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- name: opt-350m-finetuned-v4-seinfeld |
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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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# opt-350m-finetuned-v4-seinfeld |
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4775 |
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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: 0.0005 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_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: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 15 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.8604 | 0.79 | 8 | 2.7539 | |
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| 2.8058 | 1.59 | 16 | 2.6860 | |
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| 2.7427 | 2.4 | 24 | 2.6338 | |
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| 2.6593 | 3.2 | 32 | 2.5925 | |
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| 2.5373 | 3.99 | 40 | 2.5601 | |
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| 2.4923 | 4.79 | 48 | 2.5370 | |
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| 2.4102 | 5.59 | 56 | 2.5216 | |
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| 2.3373 | 6.4 | 64 | 2.5049 | |
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| 2.2341 | 7.2 | 72 | 2.4963 | |
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| 2.1286 | 7.99 | 80 | 2.4862 | |
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| 2.0673 | 8.79 | 88 | 2.4908 | |
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| 1.9938 | 9.59 | 96 | 2.4881 | |
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| 1.9015 | 10.4 | 104 | 2.4854 | |
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| 1.8172 | 11.2 | 112 | 2.5058 | |
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| 1.7113 | 11.99 | 120 | 2.4950 | |
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| 1.6409 | 12.79 | 128 | 2.5082 | |
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| 1.5622 | 13.59 | 136 | 2.5172 | |
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| 1.4724 | 14.4 | 144 | 2.5464 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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