End of training

README.md

@@ -2,6 +2,10 @@
 base_model: zhihan1996/DNABERT-2-117M
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- accuracy
 model-index:
 - name: DNABERT-2-117M_ft_BioS11_1kbpHG19_DHSs_H3K27AC
   results: []
@@ -13,6 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 # DNABERT-2-117M_ft_BioS11_1kbpHG19_DHSs_H3K27AC
 
 This model is a fine-tuned version of [zhihan1996/DNABERT-2-117M](https://huggingface.co/zhihan1996/DNABERT-2-117M) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4939
+- F1 Score: 0.7887
+- Precision: 0.7763
+- Recall: 0.8015
+- Accuracy: 0.7733
 
 ## Model description
 
@@ -42,6 +52,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss | F1 Score | Precision | Recall | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
+| 0.6014        | 1.1013 | 500  | 0.5175          | 0.7428   | 0.8134    | 0.6834 | 0.7501   |
+| 0.506         | 2.2026 | 1000 | 0.4939          | 0.7887   | 0.7763    | 0.8015 | 0.7733   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2ec4edc399463e2e7bc3a4357975f170a631f3e61912bfe0ba54dbef154afbf9
 size 356777880