Use a more precise restore key for GH cache action

[tczekajlo]

Use a more precise restore key for GH cache action - #6503

[github-actions]

Commit: ba98098, The full report is available as an artifact.

Dataset: Carbon Bot

Configuration	Intent Classification Micro F1	Entity Recognition Micro F1	Response Selection Micro F1
Sparse + DIET(bow) + ResponseSelector(bow) test: 23s, train: 4m43s, total: 5m6s	0.7417	0.6260	0.5166

[github-actions]

Commit: ba98098, The full report is available as an artifact.

Dataset: Carbon Bot

Configuration	Intent Classification Micro F1	Entity Recognition Micro F1	Response Selection Micro F1
Sparse + DIET(bow) + ResponseSelector(bow) test: 20s, train: 3m0s, total: 3m20s	0.7262	0.6260	0.5232

[github-actions]

Commit: efd4734, The full report is available as an artifact.

Dataset: Carbon Bot

Configuration	Intent Classification Micro F1	Entity Recognition Micro F1	Response Selection Micro F1
Sparse + DIET(bow) + ResponseSelector(bow) test: 21s, train: 4m36s, total: 4m57s	0.7417	0.6260	0.5166

[m-vdb]

[github-actions]

Hey @tczekajlo! 👋 To run model regression tests, comment with the /modeltest command and a configuration.

Tips 💡: The model regression test will be run on push events. You can re-run the tests by re-add status:model-regression-tests label or use a Re-run jobs button in Github Actions workflow.

Tips 💡: Every time when you want to change a configuration you should edit the comment with the previous configuration.

You can copy this in your comment and customize:

/modeltest

```yml
##########
## Available datasets
##########
# - "Carbon Bot"
# - "Hermit"
# - "Private 1"
# - "Private 2"
# - "Private 3"
# - "Sara"

##########
## Available configurations
##########
# - "BERT + DIET(bow) + ResponseSelector(bow)"
# - "BERT + DIET(seq) + ResponseSelector(t2t)"
# - "ConveRT + DIET(bow) + ResponseSelector(bow)"
# - "ConveRT + DIET(seq) + ResponseSelector(t2t)"
# - "Spacy + DIET(bow) + ResponseSelector(bow)"
# - "Spacy + DIET(seq) + ResponseSelector(t2t)"
# - "Sparse + ConveRT + DIET(bow) + ResponseSelector(bow)"
# - "Sparse + ConveRT + DIET(seq) + ResponseSelector(t2t)"
# - "Sparse + DIET(bow) + ResponseSelector(bow)"
# - "Sparse + DIET(seq) + ResponseSelector(t2t)"
# - "Sparse + Spacy + DIET(bow) + ResponseSelector(bow)"
# - "Sparse + Spacy + DIET(seq) + ResponseSelector(t2t)"

## Example configuration
#################### syntax #################
## include:
##   - dataset: ["<dataset_name>"]
##     config: ["<configuration_name>"]
#
## Example:
## include:
##  - dataset: ["Carbon Bot"]
##    config: ["Sparse + DIET(bow) + ResponseSelector(bow)"]
#
## Shortcut:
## You can use the "all" shortcut to include all available configurations or datasets
#
## Example: Use the "Sparse + EmbeddingIntent + ResponseSelector(bow)" configuration
## for all available datasets
## include:
##  - dataset: ["all"]
##    config: ["Sparse + DIET(bow) + ResponseSelector(bow)"]
#
## Example: Use all available configurations for the "Carbon Bot" and "Sara" datasets
## and for the "Hermit" dataset use the "Sparse + DIET + ResponseSelector(T2T)" and
## "Sparse + ConveRT + DIET + ResponseSelector(T2T)" configurations:
## include:
##  - dataset: ["Carbon Bot", "Sara"]
##    config: ["all"]
##  - dataset: ["Hermit"]
##    config: ["Sparse + DIET(seq) + ResponseSelector(t2t)", "Sparse + ConveRT + DIET(seq) + ResponseSelector(t2t)"]

include:
 - dataset: ["Carbon Bot"]
   config: ["Sparse + DIET(bow) + ResponseSelector(bow)"]

```

[github-actions]

/modeltest

include:
 - dataset: ["Carbon Bot"]
   config: ["Sparse + DIET(bow) + ResponseSelector(bow)"]

[github-actions]

The model regression tests have started. It might take a while, please be patient.
As soon as results are ready you'll see a new comment with the results.

Used configuration can be found in the comment.

[github-actions]

Commit: ecf6aa8, The full report is available as an artifact.

Dataset: Carbon Bot

Configuration	Intent Classification Micro F1	Entity Recognition Micro F1	Response Selection Micro F1
Sparse + DIET(bow) + ResponseSelector(bow) test: 22s, train: 4m27s, total: 4m50s	0.7417	0.6260	0.5166