email-copy-cat-v1-distilgpt2-fold-1
Browse files- README.md +66 -0
- adapter_model.safetensors +1 -1
README.md
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---
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base_model: distilgpt2
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library_name: peft
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: results_fold_1
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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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# results_fold_1
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7754
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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: 4
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 8.1852 | 0.2294 | 100 | 7.9486 |
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| 7.07 | 0.4587 | 200 | 6.9019 |
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| 5.6448 | 0.6881 | 300 | 5.0682 |
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| 3.7492 | 0.9174 | 400 | 3.2875 |
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| 3.0419 | 1.1468 | 500 | 2.9251 |
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| 2.9063 | 1.3761 | 600 | 2.8392 |
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| 2.8772 | 1.6055 | 700 | 2.7966 |
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| 2.9046 | 1.8349 | 800 | 2.7754 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.2
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 296440
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c8e960ff1e5e65001b3c8cb2327b8e59a95742b7bce99180678c93661c9b465
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size 296440
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