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---
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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: albert-xxlarge-v2-finetuned-Poems
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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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# albert-xxlarge-v2-finetuned-Poems
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This model is a fine-tuned version of [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1923
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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-07
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 5
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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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| 2.482 | 1.0 | 19375 | 2.2959 |
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| 2.258 | 2.0 | 38750 | 2.2357 |
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| 2.2146 | 3.0 | 58125 | 2.2085 |
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| 2.1975 | 4.0 | 77500 | 2.1929 |
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| 2.1893 | 5.0 | 96875 | 2.1863 |
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### Framework versions
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- Transformers 4.20.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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