vadams2327 commited on
Commit
c092272
1 Parent(s): ed1cca4

Model save

Browse files
Files changed (2) hide show
  1. README.md +66 -0
  2. model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: facebook/esm2_t33_650M_UR50D
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: esm2_t33_650M_UR50D-finetuned-localization
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # esm2_t33_650M_UR50D-finetuned-localization
17
+
18
+ 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.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 1.2770
21
+ - Accuracy: 0.7143
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 2e-05
41
+ - train_batch_size: 3
42
+ - eval_batch_size: 3
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 7
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | No log | 1.0 | 35 | 0.7696 | 0.5429 |
53
+ | No log | 2.0 | 70 | 0.6544 | 0.5714 |
54
+ | No log | 3.0 | 105 | 0.8123 | 0.6571 |
55
+ | No log | 4.0 | 140 | 0.9189 | 0.7429 |
56
+ | No log | 5.0 | 175 | 0.9507 | 0.7143 |
57
+ | No log | 6.0 | 210 | 1.1805 | 0.7429 |
58
+ | No log | 7.0 | 245 | 1.2770 | 0.7143 |
59
+
60
+
61
+ ### Framework versions
62
+
63
+ - Transformers 4.42.4
64
+ - Pytorch 2.3.1
65
+ - Datasets 2.20.0
66
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cc14c909e6d5192e44b3b5a858a1140c9e10cfa8cd80b5fb2db81fb51e521b32
3
  size 2609518396
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94a4dc2df52c7cdfc5b15a46eb10253dd4fda47fd644243477266cb7b97eb0f0
3
  size 2609518396