update model card README.md

README.md

@@ -2,9 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-metrics:
-- f1
-- bleu
 model-index:
 - name: medlid-define
   results: []
@@ -15,17 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # medlid-define
 
-This model is a fine-tuned version of [GanjinZero/biobart-v2-base](https://huggingface.co/GanjinZero/biobart-v2-base) on the None dataset.
+This model is a fine-tuned version of [GanjinZero/biobart-v2-large](https://huggingface.co/GanjinZero/biobart-v2-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6180
-- F1: 0.0024
-- R1: 0.5714
-- R2: 0.0
-- Rl: 0.5714
-- Bleu: 0.0588
-- Bertscore precision:: 0.9153
-- Bertscore recall: 0.9115
-- Bertscore f1: 0.9134
+- Loss: 0.6287
 
 ## Model description
 
@@ -45,20 +34,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
-- seed: 42
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 27
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     | R1     | R2  | Rl     | Bleu   | Bertscore precision: | Bertscore recall | Bertscore f1 |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---:|:------:|:------:|:--------------------:|:----------------:|:------------:|
-| No log        | 1.0   | 54   | 0.6430          | 0.0    | 0.2857 | 0.0 | 0.2857 | 0.0438 | 0.9025               | 0.8911           | 0.8967       |
-| No log        | 2.0   | 108  | 0.6241          | 0.0    | 0.5714 | 0.0 | 0.5714 | 0.0548 | 0.9153               | 0.9115           | 0.9134       |
-| No log        | 3.0   | 162  | 0.6180          | 0.0024 | 0.5714 | 0.0 | 0.5714 | 0.0588 | 0.9153               | 0.9115           | 0.9134       |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 27   | 0.6819          |
+| No log        | 2.0   | 54   | 0.6384          |
+| No log        | 3.0   | 81   | 0.6287          |
 
 
 ### Framework versions