Model save

README.md

@@ -3,8 +3,6 @@ license: mit
 base_model: facebook/esm2_t12_35M_UR50D
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: esm2_t12_35M_UR50D-finetuned-localization
   results: []
@@ -16,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # esm2_t12_35M_UR50D-finetuned-localization
 
 This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0488
-- Accuracy: 0.9804
 
 ## Model description
 
@@ -45,15 +40,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 115  | 0.1280          | 0.9706   |
-| No log        | 2.0   | 230  | 0.0593          | 0.9771   |
-| No log        | 3.0   | 345  | 0.0488          | 0.9804   |
-
-
 ### Framework versions
 
 - Transformers 4.39.3

config.json

@@ -21,7 +21,6 @@
   "num_hidden_layers": 12,
   "pad_token_id": 1,
   "position_embedding_type": "rotary",
-  "problem_type": "single_label_classification",
   "token_dropout": true,
   "torch_dtype": "float32",
   "transformers_version": "4.39.3",

model.safetensors

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training_args.bin

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