Update README.md

README.md

@@ -1,11 +1,31 @@
 ---
-datasets:
-- vedantM/NucArg
+base_model: InstaDeepAI/nucleotide-transformer-v2-100m-multi-species
+tags:
+- generated_from_trainer
 metrics:
 - f1
-- accuracy
-- precision
-- recall
-base_model:
-- InstaDeepAI/nucleotide-transformer-v2-100m-multi-species
----
+model-index:
+- name: vedantM/NucArg_ShortRead
+  results: []
+---
+
+# nucleotide-transformer-finetuned-lora-NucleotideTransformer
+
+This model is a fine-tuned version of [InstaDeepAI/nucleotide-transformer-v2-100m-multi-species](https://huggingface.co/InstaDeepAI/nucleotide-transformer-v2-100m-multi-species) on the NucArg dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.675450
+- F1: 0.823285
+- Recall: 0.824769
+- Precision: 0.822969
+
+## Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.000025
+- train_batch_size: 32
+- gradient_accumulation_steps= 8
+- eval_batch_size: 32
+- seed: 42
+- lr_scheduler_type: linear
+- training_epoch: 4
+