Hugging Face's logo

gnokit
/
flan-t5-dialogue-summary-finetune

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files
xet
 Community
gnokit commited on
Commit
731d076
·
verified ·
1 Parent(s): 81e7f02

3 Epochs Training complete

Browse files
Files changed (1) hide show
  1. README.md +6 -6
README.md CHANGED
@@ -1,22 +1,22 @@
1
  ---
2
  library_name: transformers
3
  license: apache-2.0
4
- base_model: google/flan-t5-base
5
  tags:
6
  - generated_from_trainer
7
  model-index:
8
- - name: flat-t5-dialogue-summary-finetune
9
  results: []
10
  ---
11
 
12
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
  should probably proofread and complete it, then remove this comment. -->
14
 
15
- # flat-t5-dialogue-summary-finetune
16
 
17
- This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 36.5160
20
 
21
  ## Model description
22
 
@@ -41,7 +41,7 @@ The following hyperparameters were used during training:
41
  - seed: 42
42
  - optimizer: Use OptimizerNames.ADAMW_TORCH 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: 1
45
 
46
  ### Training results
47
 
 
1
  ---
2
  library_name: transformers
3
  license: apache-2.0
4
+ base_model: gnokit/flan-t5-dialogue-summary-finetune
5
  tags:
6
  - generated_from_trainer
7
  model-index:
8
+ - name: flan-t5-dialogue-summary-finetune
9
  results: []
10
  ---
11
 
12
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
  should probably proofread and complete it, then remove this comment. -->
14
 
15
+ # flan-t5-dialogue-summary-finetune
16
 
17
+ This model is a fine-tuned version of [gnokit/flan-t5-dialogue-summary-finetune](https://huggingface.co/gnokit/flan-t5-dialogue-summary-finetune) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 29.8390
20
 
21
  ## Model description
22
 
 
41
  - seed: 42
42
  - optimizer: Use OptimizerNames.ADAMW_TORCH 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