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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: DNAPerceiver1_2epochs
+  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. -->
+
+# DNAPerceiver1_2epochs
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3330
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 36000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.3597        | 0.3   | 6000  | 1.3565          |
+| 1.3566        | 0.6   | 12000 | 1.3557          |
+| 1.3514        | 0.89  | 18000 | 1.3474          |
+| 1.345         | 1.19  | 24000 | 1.3410          |
+| 1.3386        | 1.49  | 30000 | 1.3357          |
+| 1.3348        | 1.79  | 36000 | 1.3330          |
+
+
+### Framework versions
+
+- Transformers 4.19.4
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1