Hugging Face's logo

meoo225
/
FLANT5_base

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
meoo225 commited on
Commit
66fd664
•
1 Parent(s): 278c961

End of training

Browse files
Files changed (3) hide show
  1. README.md +13 -14
  2. logs/events.out.tfevents.1727601346.207c93823e2f.1426.0 +2 -2
  3. model.safetensors +1 -1
README.md CHANGED
@@ -19,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 0.1042
23
- - Bleu Score: 24.4829
24
- - Precision: 5.4958
25
- - Recall: 5.4958
26
- - Gen Len: 18.816
27
- - Err: 5.4958
28
 
29
  ## Model description
30
 
@@ -43,22 +43,21 @@ More information needed
43
  ### Training hyperparameters
44
 
45
  The following hyperparameters were used during training:
46
- - learning_rate: 0.0001
47
- - train_batch_size: 16
48
- - eval_batch_size: 16
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
- - num_epochs: 4
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
57
  |:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:------:|:-------:|:------:|
58
- | 0.2337 | 1.0 | 419 | 0.1422 | 23.4722 | 4.0621 | 4.0621 | 18.8088 | 4.0621 |
59
- | 0.1441 | 2.0 | 838 | 0.1186 | 24.2104 | 5.4958 | 5.4958 | 18.8041 | 5.4958 |
60
- | 0.1185 | 3.0 | 1257 | 0.1077 | 24.3846 | 5.3763 | 5.3763 | 18.8124 | 5.3763 |
61
- | 0.1069 | 4.0 | 1676 | 0.1042 | 24.4829 | 5.4958 | 5.4958 | 18.816 | 5.4958 |
62
 
63
 
64
  ### Framework versions
 
19
 
20
  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.0872
23
+ - Bleu Score: 25.2243
24
+ - Precision: 6.2127
25
+ - Recall: 6.2127
26
+ - Gen Len: 18.8053
27
+ - Err: 6.2127
28
 
29
  ## Model description
30
 
 
43
  ### Training hyperparameters
44
 
45
  The following hyperparameters were used during training:
46
+ - learning_rate: 0.0002
47
+ - train_batch_size: 8
48
+ - eval_batch_size: 8
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
51
  - lr_scheduler_type: linear
52
+ - num_epochs: 3
53
 
54
  ### Training results
55
 
56
  | Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall | Gen Len | Err |
57
  |:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:------:|:-------:|:------:|
58
+ | 0.2 | 1.0 | 838 | 0.1229 | 24.1188 | 5.2569 | 5.2569 | 18.8076 | 5.2569 |
59
+ | 0.1099 | 2.0 | 1676 | 0.0951 | 24.7563 | 5.8542 | 5.8542 | 18.8017 | 5.8542 |
60
+ | 0.0841 | 3.0 | 2514 | 0.0872 | 25.2243 | 6.2127 | 6.2127 | 18.8053 | 6.2127 |
 
61
 
62
 
63
  ### Framework versions
logs/events.out.tfevents.1727601346.207c93823e2f.1426.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ec8cb047b863f37e6c8eb52ac251d3e79e976be96736a1000be65d9a25ee3b46
3
- size 7424
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bee117ca29c9fa74c5c169a8ee1a6e55b215cbf2a770bbac43c9d6126608e2cf
3
+ size 8515
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:123053f64aae423ef30259946e274b669e38a96bffde6fbfd49ee6a1ce468df1
3
  size 990345064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ad10fdedf59a657e46a5eaf73dfcd5fc543c826f0ddc6f78e7d452b9e021428a
3
  size 990345064