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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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