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Model: NasimB/cbt-guten-rarity-all-est-2p5k-guten
Source: Original Platform

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: cbt-guten-rarity-all-est-2p5k-guten
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# cbt-guten-rarity-all-est-2p5k-guten
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.1100
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0005
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 6.3376        | 0.29  | 500   | 5.3378          |
+| 5.0347        | 0.59  | 1000  | 4.9236          |
+| 4.7052        | 0.88  | 1500  | 4.6938          |
+| 4.4506        | 1.17  | 2000  | 4.5584          |
+| 4.2967        | 1.47  | 2500  | 4.4305          |
+| 4.1938        | 1.76  | 3000  | 4.3307          |
+| 4.079         | 2.05  | 3500  | 4.2585          |
+| 3.895         | 2.35  | 4000  | 4.2084          |
+| 3.8722        | 2.64  | 4500  | 4.1495          |
+| 3.8245        | 2.93  | 5000  | 4.1026          |
+| 3.6339        | 3.23  | 5500  | 4.0968          |
+| 3.5909        | 3.52  | 6000  | 4.0698          |
+| 3.5755        | 3.81  | 6500  | 4.0402          |
+| 3.4668        | 4.11  | 7000  | 4.0409          |
+| 3.3194        | 4.4   | 7500  | 4.0353          |
+| 3.3196        | 4.69  | 8000  | 4.0179          |
+| 3.3088        | 4.99  | 8500  | 4.0070          |
+| 3.1488        | 5.28  | 9000  | 4.0193          |
+| 3.1429        | 5.58  | 9500  | 4.0183          |
+| 3.1402        | 5.87  | 10000 | 4.0178          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.11.0+cu113
+- Datasets 2.13.0
+- Tokenizers 0.13.3