Hugging Face's logo

Peramanathan
/
cv-qa-model

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files
xet
 Community
Peramanathan commited on
Commit
b8fa5ee
·
verified ·
1 Parent(s): 5443701

End of training

Browse files
Files changed (1) hide show
  1. README.md +10 -8
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 4.6708
20
 
21
  ## Model description
22
 
@@ -35,21 +35,23 @@ More information needed
35
  ### Training hyperparameters
36
 
37
  The following hyperparameters were used during training:
38
- - learning_rate: 5e-05
39
- - train_batch_size: 8
40
- - eval_batch_size: 8
41
  - seed: 42
42
  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
43
  - lr_scheduler_type: linear
44
- - num_epochs: 3
45
 
46
  ### Training results
47
 
48
  | Training Loss | Epoch | Step | Validation Loss |
49
  |:-------------:|:-----:|:----:|:---------------:|
50
- | 9.5397 | 1.0 | 19 | 5.2205 |
51
- | 5.9917 | 2.0 | 38 | 4.8099 |
52
- | 5.7603 | 3.0 | 57 | 4.6708 |
 
 
53
 
54
 
55
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 5.3518
20
 
21
  ## Model description
22
 
 
35
  ### Training hyperparameters
36
 
37
  The following hyperparameters were used during training:
38
+ - learning_rate: 3e-05
39
+ - train_batch_size: 4
40
+ - eval_batch_size: 4
41
  - seed: 42
42
  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
43
  - lr_scheduler_type: linear
44
+ - num_epochs: 5
45
 
46
  ### Training results
47
 
48
  | Training Loss | Epoch | Step | Validation Loss |
49
  |:-------------:|:-----:|:----:|:---------------:|
50
+ | 6.5531 | 1.0 | 37 | 6.8930 |
51
+ | 5.952 | 2.0 | 74 | 6.1944 |
52
+ | 6.8541 | 3.0 | 111 | 5.7086 |
53
+ | 5.8434 | 4.0 | 148 | 5.4451 |
54
+ | 5.1095 | 5.0 | 185 | 5.3518 |
55
 
56
 
57
  ### Framework versions