Model save

README.md

@@ -0,0 +1,62 @@
+---
+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: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+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 the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0769
+- Accuracy: 0.9808
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 235  | 0.0884          | 0.9744   |
+| No log        | 2.0   | 470  | 0.0737          | 0.9840   |
+| 0.1121        | 3.0   | 705  | 0.0769          | 0.9808   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d9164fdb0f2e4ac879c6b7f6702e5e9bd2b59472451fa1d35b3fb197def7173d
+oid sha256:e8061ca96acf90c2d8fc2261ecd8d1ab8a2ba47bfa905413c74dcfb650c7912e
 size 136000284

runs/Apr11_03-55-52_6886f9130475/events.out.tfevents.1712807762.6886f9130475.167.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8ee547a1fb20685117f3499f6d58112c9781ae1d06e1acfca895025032db435a
-size 5977
+oid sha256:2724a6e248563e4d1174685cffd261fceeaa93d0d3ebdfff2afae82c6edcb363
+size 6331