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QARAC

Commit History

Oct 13, 2023

20:34
Pin allennlp and torch to solve package conflics

radames

c6f831d

Oct 11, 2023

16:09
Added HuggingFace Space configuration YAML to README.md

PeteBleackley

eef6e62
16:08
Added HuggingFace Space configuration YAML to README.md

PeteBleackley

1f5b930
09:27
Created HuggingFace Space

PeteBleackley

cce945c

Oct 10, 2023

10:28
Removed diagnostic

PeteBleackley

3340c72
10:19
Ensure consitency value is 32 bit

PeteBleackley

452e9a6

Oct 9, 2023

22:41
Removed diagnostics

PeteBleackley

355ad7d
22:36
Correct dimension of consistency cosine

PeteBleackley

14d83dc
21:51
Wrap CrossEntropyLoss in callable that makes it appplicable to sequences

PeteBleackley

4d8fdac
21:10
Using torch.nn.CosineSimilarity to simplify code

PeteBleackley

798488e
19:14
Use builtin sum rather than torch.sum for a generator

PeteBleackley

1d1a876
19:07
Removed unnecessary parameters

PeteBleackley

684c1d8
18:47
Attention mask in decoder

PeteBleackley

69cf4c5
18:36
Set use_cache argument

PeteBleackley

9052370
18:21
Fix Einstein summation notation

PeteBleackley

7fe1144
18:15
Use keepdim option when normalising vectors

PeteBleackley

738b546
16:23
Make EPSILON a tensor

PeteBleackley

cf5f935
16:11
torch.maximum, not torch.max

PeteBleackley

98ad67d
15:54
Unsqueeze attention mask

PeteBleackley

bc77ce5
15:40
Unpack BatchEncoding

PeteBleackley

b5ce6f8
15:27
Create BatchEncoding in pad

PeteBleackley

a0c9643
15:21
Use BatchEncoding for training, not batch_encoding

PeteBleackley

08197ec
15:18
Use BatchEncoding for training

PeteBleackley

80162eb
14:36
Removed unnecessary on_epoch_end

PeteBleackley

02e37b9
14:03
Learning rate scheduler

PeteBleackley

ae82fc7
13:57
input_embeddings not needed

PeteBleackley

a5b7b8e
13:53
Removed unnecessary parameter

PeteBleackley

8172944
11:47
get_input_embeddings() directly from base model

PeteBleackley

e095479
11:43
Missing 'from_pretrained'

PeteBleackley

215b416
11:01
config didn't need to be a property

PeteBleackley

0abed2a
10:58
There's a simpler way of doing this, I hope

PeteBleackley

858f75e
10:16
Might be simpler to inherit from RobertaModel rather than PreTrainedModel

PeteBleackley

f0ad7f1
09:56
Removed a base model that was causing a loop in model initialisation

PeteBleackley

87535ff
09:29
Problems with config

PeteBleackley

2f6dc26
09:19
Fixed typo

PeteBleackley

1d631bc
09:11
Removed line that would have failed

PeteBleackley

dbfe7ff
09:09
Fixed import

PeteBleackley

acda749
09:04
Typo

PeteBleackley

ed62a1c
09:03
Further changes for compatibility with HuggingFace Pytorch implementation

PeteBleackley

5b7a8ed
08:27
Minor error in setting up tokenizer

PeteBleackley

fb4c0b0
08:25
PyTorch implementation of HugggingFace PreTrainedModel class does not allow direct setting of base_model. Rejig constructors accordingly

PeteBleackley

519dfd1
07:29
Removed superfluous ()

PeteBleackley

4cda7b6
07:27
Removed superfluous ()

PeteBleackley

518e821
07:25
Corrected inheritance

PeteBleackley

8823ce8
07:19
Updated requitements.txt

PeteBleackley

bacc9ad
07:10
Modified CombinedCorpus to use PyTorch

PeteBleackley

7a9be99

Oct 7, 2023

20:42
Modified training scripts to use PyTorch

PeteBleackley

c8625dc
12:01
Converted QaracTrainerModel to use PyTorch

PeteBleackley

56e5680
10:30
Converted QaracDecoderModel to use PyTorch

PeteBleackley

13f1508
09:49
Converted QaracEncoderModel to use PyTorch

PeteBleackley

37a581e

Commit History

Oct 13, 2023

Pin allennlp and torch to solve package conflics

Oct 11, 2023

Added HuggingFace Space configuration YAML to README.md

Added HuggingFace Space configuration YAML to README.md

Created HuggingFace Space

Oct 10, 2023

Removed diagnostic

Ensure consitency value is 32 bit

Oct 9, 2023

Removed diagnostics

Correct dimension of consistency cosine

Wrap CrossEntropyLoss in callable that makes it appplicable to sequences

Using torch.nn.CosineSimilarity to simplify code

Use builtin sum rather than torch.sum for a generator

Removed unnecessary parameters

Attention mask in decoder

Set use_cache argument

Fix Einstein summation notation

Use keepdim option when normalising vectors

Make EPSILON a tensor

torch.maximum, not torch.max

Unsqueeze attention mask

Unpack BatchEncoding

Create BatchEncoding in pad

Use BatchEncoding for training, not batch_encoding

Use BatchEncoding for training

Removed unnecessary on_epoch_end

Learning rate scheduler

input_embeddings not needed

Removed unnecessary parameter

get_input_embeddings() directly from base model

Missing 'from_pretrained'

config didn't need to be a property

There's a simpler way of doing this, I hope

Might be simpler to inherit from RobertaModel rather than PreTrainedModel

Removed a base model that was causing a loop in model initialisation

Problems with config

Fixed typo

Removed line that would have failed

Fixed import

Typo

Further changes for compatibility with HuggingFace Pytorch implementation

Minor error in setting up tokenizer

PyTorch implementation of HugggingFace PreTrainedModel class does not allow direct setting of base_model. Rejig constructors accordingly

Removed superfluous ()

Removed superfluous ()

Corrected inheritance

Updated requitements.txt

Modified CombinedCorpus to use PyTorch

Oct 7, 2023

Modified training scripts to use PyTorch

Converted QaracTrainerModel to use PyTorch

Converted QaracDecoderModel to use PyTorch

Converted QaracEncoderModel to use PyTorch