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model_checkpoint

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Training in progress, epoch 1

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Files changed (21) hide show
  1. README.md +62 -62
  2. config.json +37 -31
  3. model.safetensors +2 -2
  4. runs/Jul07_18-16-33_DESKTOP-M4AOP5S/events.out.tfevents.1720372703.DESKTOP-M4AOP5S.30900.0 +3 -0
  5. runs/Jul07_18-20-34_DESKTOP-M4AOP5S/events.out.tfevents.1720372839.DESKTOP-M4AOP5S.30900.1 +3 -0
  6. runs/Jul07_18-20-34_DESKTOP-M4AOP5S/events.out.tfevents.1720372997.DESKTOP-M4AOP5S.30900.2 +3 -0
  7. runs/Jul07_18-20-34_DESKTOP-M4AOP5S/events.out.tfevents.1720373105.DESKTOP-M4AOP5S.30900.3 +3 -0
  8. runs/Jul07_18-30-31_DESKTOP-M4AOP5S/events.out.tfevents.1720373456.DESKTOP-M4AOP5S.20708.0 +3 -0
  9. runs/Jul07_18-30-31_DESKTOP-M4AOP5S/events.out.tfevents.1720373549.DESKTOP-M4AOP5S.20708.1 +3 -0
  10. runs/Jul07_18-30-31_DESKTOP-M4AOP5S/events.out.tfevents.1720373592.DESKTOP-M4AOP5S.20708.2 +3 -0
  11. runs/Jul07_18-30-31_DESKTOP-M4AOP5S/events.out.tfevents.1720374675.DESKTOP-M4AOP5S.20708.3 +3 -0
  12. runs/Jul07_18-54-43_DESKTOP-M4AOP5S/events.out.tfevents.1720374891.DESKTOP-M4AOP5S.20708.4 +3 -0
  13. runs/Jul07_20-04-29_DESKTOP-M4AOP5S/events.out.tfevents.1720379072.DESKTOP-M4AOP5S.20708.5 +3 -0
  14. runs/Jul07_20-24-30_DESKTOP-M4AOP5S/events.out.tfevents.1720380271.DESKTOP-M4AOP5S.10404.0 +3 -0
  15. runs/Jul07_20-48-30_DESKTOP-M4AOP5S/events.out.tfevents.1720381712.DESKTOP-M4AOP5S.10404.1 +3 -0
  16. runs/Jul07_20-50-00_DESKTOP-M4AOP5S/events.out.tfevents.1720381802.DESKTOP-M4AOP5S.12816.0 +3 -0
  17. runs/Jul07_20-51-30_DESKTOP-M4AOP5S/events.out.tfevents.1720381893.DESKTOP-M4AOP5S.12816.1 +3 -0
  18. special_tokens_map.json +7 -7
  19. tokenizer_config.json +52 -52
  20. training_args.bin +1 -1
  21. vocab.txt +32 -32
README.md CHANGED
@@ -1,62 +1,62 @@
1
- ---
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- license: mit
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- base_model: facebook/esm2_t30_150M_UR50D
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- tags:
5
- - generated_from_trainer
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- metrics:
7
- - accuracy
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- model-index:
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- - name: model_checkpoint
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- results: []
11
- ---
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-
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. -->
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-
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- # model_checkpoint
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-
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- This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://huggingface.co/facebook/esm2_t30_150M_UR50D) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.3773
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- - Accuracy: 0.8786
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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- - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - num_epochs: 3
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.4396 | 1.0 | 606 | 0.3541 | 0.8533 |
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- | 0.3177 | 2.0 | 1212 | 0.3660 | 0.8656 |
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- | 0.2331 | 3.0 | 1818 | 0.3773 | 0.8786 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.39.3
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- - Pytorch 2.2.2+cpu
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- - Datasets 2.18.0
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- - Tokenizers 0.15.2
 
1
+ ---
2
+ license: mit
3
+ base_model: facebook/esm2_t30_150M_UR50D
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: model_checkpoint
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
+ # model_checkpoint
17
+
18
+ This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://huggingface.co/facebook/esm2_t30_150M_UR50D) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.3773
21
+ - Accuracy: 0.8786
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: 8
42
+ - eval_batch_size: 8
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 3
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | 0.4396 | 1.0 | 606 | 0.3541 | 0.8533 |
53
+ | 0.3177 | 2.0 | 1212 | 0.3660 | 0.8656 |
54
+ | 0.2331 | 3.0 | 1818 | 0.3773 | 0.8786 |
55
+
56
+
57
+ ### Framework versions
58
+
59
+ - Transformers 4.39.3
60
+ - Pytorch 2.2.2+cpu
61
+ - Datasets 2.18.0
62
+ - Tokenizers 0.15.2
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