Hugging Face's logo

oneonlee
/
flan-t5-small-qclassifier_new_0.6-droprob_0.2-smooth_0.1-lr_1e-5-dcy_0.0001

Safetensors
t5
Generated from Trainer
Model card Files Community
oneonlee commited on
Commit
1a81bc9
•
1 Parent(s): 10a01eb

End of training

Browse files
Files changed (7) hide show
  1. README.md +9 -14
  2. all_results.json +13 -13
  3. eval_results.json +7 -7
  4. f1_scores.png +0 -0
  5. losses.png +0 -0
  6. model.safetensors +1 -1
  7. test_results.json +6 -6
README.md CHANGED
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 0.5710
23
- - Precision: 0.7404
24
  - Recall: 1.0
25
- - F1: 0.8509
26
 
27
  ## Model description
28
 
@@ -54,17 +54,12 @@ The following hyperparameters were used during training:
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
56
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
57
- | 0.6235 | 1.0 | 193 | 0.5839 | 0.7395 | 1.0 | 0.8502 |
58
- | 0.5853 | 2.0 | 386 | 0.5768 | 0.7395 | 1.0 | 0.8502 |
59
- | 0.5783 | 3.0 | 579 | 0.5741 | 0.7395 | 1.0 | 0.8502 |
60
- | 0.5739 | 4.0 | 772 | 0.5745 | 0.7395 | 1.0 | 0.8502 |
61
- | 0.5714 | 5.0 | 965 | 0.5711 | 0.7395 | 1.0 | 0.8502 |
62
- | 0.5695 | 6.0 | 1158 | 0.5710 | 0.7404 | 1.0 | 0.8509 |
63
- | 0.5672 | 7.0 | 1351 | 0.5718 | 0.7404 | 1.0 | 0.8509 |
64
- | 0.5639 | 8.0 | 1544 | 0.5715 | 0.7415 | 0.9956 | 0.8500 |
65
- | 0.5624 | 9.0 | 1737 | 0.5725 | 0.7416 | 0.9912 | 0.8485 |
66
- | 0.5619 | 10.0 | 1930 | 0.5715 | 0.7431 | 0.9860 | 0.8475 |
67
- | 0.5613 | 11.0 | 2123 | 0.5720 | 0.7422 | 0.9842 | 0.8463 |
68
 
69
 
70
  ### Framework versions
 
19
 
20
  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.5881
23
+ - Precision: 0.7395
24
  - Recall: 1.0
25
+ - F1: 0.8502
26
 
27
  ## Model description
28
 
 
54
 
55
  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
56
  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
57
+ | 0.5965 | 1.0 | 193 | 0.5881 | 0.7395 | 1.0 | 0.8502 |
58
+ | 0.5885 | 2.0 | 386 | 0.5808 | 0.7395 | 1.0 | 0.8502 |
59
+ | 0.5791 | 3.0 | 579 | 0.5772 | 0.7395 | 1.0 | 0.8502 |
60
+ | 0.5751 | 4.0 | 772 | 0.5768 | 0.7395 | 1.0 | 0.8502 |
61
+ | 0.5712 | 5.0 | 965 | 0.5726 | 0.7396 | 0.9982 | 0.8497 |
62
+ | 0.5707 | 6.0 | 1158 | 0.5718 | 0.7398 | 0.9965 | 0.8491 |
 
 
 
 
 
63
 
64
 
65
  ### Framework versions
all_results.json CHANGED
@@ -1,17 +1,17 @@
1
  {
2
- "epoch": 11.0,
3
- "eval_f1": 0.8508575689783744,
4
- "eval_loss": 0.5709970593452454,
5
- "eval_precision": 0.7404282933160286,
6
  "eval_recall": 1.0,
7
- "eval_runtime": 8.1077,
8
- "eval_samples_per_second": 190.313,
9
- "eval_steps_per_second": 3.083,
10
- "test_f1": 0.8415915915915916,
11
- "test_loss": 0.5728474259376526,
12
- "test_precision": 0.7265068049254698,
13
  "test_recall": 1.0,
14
- "test_runtime": 8.1198,
15
- "test_samples_per_second": 190.153,
16
- "test_steps_per_second": 3.079
17
  }
 
1
  {
2
+ "epoch": 6.0,
3
+ "eval_f1": 0.8502235469448585,
4
+ "eval_loss": 0.5881040692329407,
5
+ "eval_precision": 0.7394685677252106,
6
  "eval_recall": 1.0,
7
+ "eval_runtime": 8.5024,
8
+ "eval_samples_per_second": 181.479,
9
+ "eval_steps_per_second": 2.94,
10
+ "test_f1": 0.8412757973733583,
11
+ "test_loss": 0.5977824926376343,
12
+ "test_precision": 0.7260362694300518,
13
  "test_recall": 1.0,
14
+ "test_runtime": 8.6861,
15
+ "test_samples_per_second": 177.756,
16
+ "test_steps_per_second": 2.878
17
  }
eval_results.json CHANGED
@@ -1,10 +1,10 @@
1
  {
2
- "epoch": 11.0,
3
- "eval_f1": 0.8508575689783744,
4
- "eval_loss": 0.5709970593452454,
5
- "eval_precision": 0.7404282933160286,
6
  "eval_recall": 1.0,
7
- "eval_runtime": 8.1077,
8
- "eval_samples_per_second": 190.313,
9
- "eval_steps_per_second": 3.083
10
  }
 
1
  {
2
+ "epoch": 6.0,
3
+ "eval_f1": 0.8502235469448585,
4
+ "eval_loss": 0.5881040692329407,
5
+ "eval_precision": 0.7394685677252106,
6
  "eval_recall": 1.0,
7
+ "eval_runtime": 8.5024,
8
+ "eval_samples_per_second": 181.479,
9
+ "eval_steps_per_second": 2.94
10
  }
f1_scores.png CHANGED
losses.png CHANGED
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:929300099f017a92a86e7faa6b2ece4190b0864ecac76a6eec8aa0051a24ec1e
3
  size 243126200
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f53be861a33b6a9ca04b1baf6eb7acb0ab0f8b9bc03b9e033136354e5b6af32a
3
  size 243126200
test_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "test_f1": 0.8415915915915916,
3
- "test_loss": 0.5728474259376526,
4
- "test_precision": 0.7265068049254698,
5
  "test_recall": 1.0,
6
- "test_runtime": 8.1198,
7
- "test_samples_per_second": 190.153,
8
- "test_steps_per_second": 3.079
9
  }
 
1
  {
2
+ "test_f1": 0.8412757973733583,
3
+ "test_loss": 0.5977824926376343,
4
+ "test_precision": 0.7260362694300518,
5
  "test_recall": 1.0,
6
+ "test_runtime": 8.6861,
7
+ "test_samples_per_second": 177.756,
8
+ "test_steps_per_second": 2.878
9
  }