Model save

README.md

@@ -0,0 +1,61 @@
+---
+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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0488
+- Accuracy: 0.9804
+
+## 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: 8
+- eval_batch_size: 8
+- 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   | 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
+- Pytorch 2.2.1+cu121
+- Tokenizers 0.15.2

runs/Apr02_11-14-40_24457d9372c8/events.out.tfevents.1712066068.24457d9372c8.3797.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b876bf4ce6e5b123d38a4b55f351c0a7503c377f72cd6c55a1e4caa5996754f8
+size 411