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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- sst2
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model-index:
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- name: finetuned_gpt2-medium_sst2_negation0.01_pretrainedFalse_epochs10
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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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# finetuned_gpt2-medium_sst2_negation0.01_pretrainedFalse_epochs10
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the sst2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.0937
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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: 2e-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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- 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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.2693 | 1.0 | 1323 | 2.9043 |
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| 1.8782 | 2.0 | 2646 | 3.0877 |
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| 1.6671 | 3.0 | 3969 | 3.3430 |
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| 1.4607 | 4.0 | 5292 | 3.5276 |
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| 1.3258 | 5.0 | 6615 | 3.7558 |
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| 1.2423 | 6.0 | 7938 | 3.8430 |
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| 1.1748 | 7.0 | 9261 | 3.9389 |
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| 1.124 | 8.0 | 10584 | 4.0047 |
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| 1.0988 | 9.0 | 11907 | 4.0659 |
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| 1.0751 | 10.0 | 13230 | 4.0937 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.7.0
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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