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update model card README.md
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README.md
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---
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license: apache-2.0
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbert-base-uncased-finetuned-himani_auto-text-gen
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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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# distilbert-base-uncased-finetuned-himani_auto-text-gen
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7913
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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: 2
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- eval_batch_size: 2
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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: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.8212 | 1.0 | 30 | 2.9480 |
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| 4.0493 | 2.0 | 60 | 1.9459 |
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| 3.5449 | 3.0 | 90 | 3.1831 |
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| 3.6318 | 4.0 | 120 | 4.5427 |
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| 3.4761 | 5.0 | 150 | 4.6722 |
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| 2.9815 | 6.0 | 180 | 5.4563 |
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| 3.1247 | 7.0 | 210 | 3.6281 |
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| 2.9715 | 8.0 | 240 | 4.5996 |
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| 2.8263 | 9.0 | 270 | 3.7812 |
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| 2.3001 | 10.0 | 300 | 4.1159 |
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| 2.656 | 11.0 | 330 | 4.0686 |
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| 2.5122 | 12.0 | 360 | 3.4073 |
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| 1.8478 | 13.0 | 390 | 3.1591 |
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| 2.5157 | 14.0 | 420 | 3.4517 |
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| 2.0329 | 15.0 | 450 | 2.5513 |
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| 2.2727 | 16.0 | 480 | 3.1985 |
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| 1.591 | 17.0 | 510 | 2.7810 |
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| 1.81 | 18.0 | 540 | 4.5671 |
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| 2.0059 | 19.0 | 570 | 2.9868 |
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| 1.8184 | 20.0 | 600 | 5.4829 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.2
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- Tokenizers 0.13.3
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