pfam_4class_seq

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/esm2_t33_650M_UR50D](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6783
-- Accuracy: 0.8253
+- Loss: 0.4652
+- Accuracy: 0.8605
 
 ## Model description
 
@@ -45,17 +45,22 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9963 | 17   | 1.4555          | 0.4649   |
-| No log        | 1.9927 | 34   | 1.0522          | 0.6850   |
-| No log        | 2.9890 | 51   | 0.8166          | 0.7909   |
-| No log        | 3.9853 | 68   | 0.7094          | 0.8184   |
-| No log        | 4.9817 | 85   | 0.6783          | 0.8253   |
+| No log        | 0.9846 | 4    | 1.0980          | 0.6919   |
+| No log        | 1.9692 | 8    | 0.9456          | 0.6919   |
+| No log        | 2.9538 | 12   | 0.8277          | 0.6919   |
+| No log        | 3.9385 | 16   | 0.7322          | 0.7267   |
+| No log        | 4.9231 | 20   | 0.6554          | 0.7616   |
+| No log        | 5.9077 | 24   | 0.5913          | 0.8198   |
+| No log        | 6.8923 | 28   | 0.5352          | 0.8314   |
+| No log        | 7.8769 | 32   | 0.4964          | 0.8314   |
+| No log        | 8.8615 | 36   | 0.4736          | 0.8547   |
+| No log        | 9.8462 | 40   | 0.4652          | 0.8605   |
 
 
 ### Framework versions

config.json

@@ -14,10 +14,7 @@
     "0": "LABEL_0",
     "1": "LABEL_1",
     "2": "LABEL_2",
-    "3": "LABEL_3",
-    "4": "LABEL_4",
-    "5": "LABEL_5",
-    "6": "LABEL_6"
+    "3": "LABEL_3"
   },
   "initializer_range": 0.02,
   "intermediate_size": 5120,
@@ -26,10 +23,7 @@
     "LABEL_0": 0,
     "LABEL_1": 1,
     "LABEL_2": 2,
-    "LABEL_3": 3,
-    "LABEL_4": 4,
-    "LABEL_5": 5,
-    "LABEL_6": 6
+    "LABEL_3": 3
   },
   "layer_norm_eps": 1e-05,
   "mask_token_id": 32,

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:45352f29e8db86f8833877314fa26893c201973e77691de593740fcc93e9793d
+size 2609508148

training_args.bin

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 size 5048