End of training
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README.md
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---
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: pretrained_gpt2
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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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# pretrained_gpt2
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.8305
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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: 0.0003
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- train_batch_size: 32
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- eval_batch_size: 32
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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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- 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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| 6.4795 | 0.94 | 500 | 6.1043 |
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| 5.3968 | 1.87 | 1000 | 5.7712 |
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| 4.7369 | 2.81 | 1500 | 5.6812 |
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| 4.1696 | 3.75 | 2000 | 5.7365 |
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| 3.6165 | 4.68 | 2500 | 5.8735 |
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| 3.098 | 5.62 | 3000 | 6.0607 |
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| 2.595 | 6.55 | 3500 | 6.3035 |
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| 2.1458 | 7.49 | 4000 | 6.5112 |
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| 1.7782 | 8.43 | 4500 | 6.7049 |
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| 1.5026 | 9.36 | 5000 | 6.8305 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.1
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50257,
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"eos_token_id": 50258,
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"transformers_version": "4.35.2"
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}
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model.safetensors
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runs/Feb07_21-26-23_nlp-gpu-01.be.ucsc.edu/events.out.tfevents.1707369984.nlp-gpu-01.be.ucsc.edu.4198.2
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