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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: chemical-bert-uncased-finetuned-cust
+  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. -->
+
+# chemical-bert-uncased-finetuned-cust
+
+This model is a fine-tuned version of [recobo/chemical-bert-uncased](https://huggingface.co/recobo/chemical-bert-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.0173
+- eval_runtime: 1.2451
+- eval_samples_per_second: 321.256
+- eval_steps_per_second: 5.622
+- epoch: 51.0
+- step: 3213
+
+## 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: 2e-05
+- 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: linear
+- num_epochs: 200
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.6.1
+- Tokenizers 0.13.2