Delete 7254
Browse files- 7254/1_Pooling/config.json +0 -7
- 7254/README.md +0 -88
- 7254/config.json +0 -24
- 7254/config_sentence_transformers.json +0 -7
- 7254/modules.json +0 -20
- 7254/pytorch_model.bin +0 -3
- 7254/sentence_bert_config.json +0 -4
- 7254/special_tokens_map.json +0 -15
- 7254/tokenizer.json +0 -0
- 7254/tokenizer_config.json +0 -16
- 7254/vocab.txt +0 -0
7254/1_Pooling/config.json
DELETED
@@ -1,7 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"word_embedding_dimension": 768,
|
3 |
-
"pooling_mode_cls_token": false,
|
4 |
-
"pooling_mode_mean_tokens": true,
|
5 |
-
"pooling_mode_max_tokens": false,
|
6 |
-
"pooling_mode_mean_sqrt_len_tokens": false
|
7 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
7254/README.md
DELETED
@@ -1,88 +0,0 @@
|
|
1 |
-
---
|
2 |
-
pipeline_tag: sentence-similarity
|
3 |
-
tags:
|
4 |
-
- sentence-transformers
|
5 |
-
- feature-extraction
|
6 |
-
- sentence-similarity
|
7 |
-
|
8 |
-
---
|
9 |
-
|
10 |
-
# {MODEL_NAME}
|
11 |
-
|
12 |
-
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
|
13 |
-
|
14 |
-
<!--- Describe your model here -->
|
15 |
-
|
16 |
-
## Usage (Sentence-Transformers)
|
17 |
-
|
18 |
-
Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
|
19 |
-
|
20 |
-
```
|
21 |
-
pip install -U sentence-transformers
|
22 |
-
```
|
23 |
-
|
24 |
-
Then you can use the model like this:
|
25 |
-
|
26 |
-
```python
|
27 |
-
from sentence_transformers import SentenceTransformer
|
28 |
-
sentences = ["This is an example sentence", "Each sentence is converted"]
|
29 |
-
|
30 |
-
model = SentenceTransformer('{MODEL_NAME}')
|
31 |
-
embeddings = model.encode(sentences)
|
32 |
-
print(embeddings)
|
33 |
-
```
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
-
## Evaluation Results
|
38 |
-
|
39 |
-
<!--- Describe how your model was evaluated -->
|
40 |
-
|
41 |
-
For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
|
42 |
-
|
43 |
-
|
44 |
-
## Training
|
45 |
-
The model was trained with the parameters:
|
46 |
-
|
47 |
-
**DataLoader**:
|
48 |
-
|
49 |
-
`torch.utils.data.dataloader.DataLoader` of length 806 with parameters:
|
50 |
-
```
|
51 |
-
{'batch_size': 32, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
|
52 |
-
```
|
53 |
-
|
54 |
-
**Loss**:
|
55 |
-
|
56 |
-
`modified_sbert.losses.OnlineContrastiveLoss_wandb`
|
57 |
-
|
58 |
-
Parameters of the fit()-Method:
|
59 |
-
```
|
60 |
-
{
|
61 |
-
"epochs": 9,
|
62 |
-
"evaluation_steps": 320,
|
63 |
-
"evaluator": "sentence_transformers.evaluation.SequentialEvaluator.SequentialEvaluator",
|
64 |
-
"max_grad_norm": 1,
|
65 |
-
"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
|
66 |
-
"optimizer_params": {
|
67 |
-
"lr": 2e-05
|
68 |
-
},
|
69 |
-
"scheduler": "WarmupLinear",
|
70 |
-
"steps_per_epoch": null,
|
71 |
-
"warmup_steps": 2842,
|
72 |
-
"weight_decay": 0.01
|
73 |
-
}
|
74 |
-
```
|
75 |
-
|
76 |
-
|
77 |
-
## Full Model Architecture
|
78 |
-
```
|
79 |
-
SentenceTransformer(
|
80 |
-
(0): Transformer({'max_seq_length': 384, 'do_lower_case': False}) with Transformer model: MPNetModel
|
81 |
-
(1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
|
82 |
-
(2): Normalize()
|
83 |
-
)
|
84 |
-
```
|
85 |
-
|
86 |
-
## Citing & Authors
|
87 |
-
|
88 |
-
<!--- Describe where people can find more information -->
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
7254/config.json
DELETED
@@ -1,24 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"_name_or_path": "/home/silcock/.cache/torch/sentence_transformers/sentence-transformers_all-mpnet-base-v2/",
|
3 |
-
"architectures": [
|
4 |
-
"MPNetModel"
|
5 |
-
],
|
6 |
-
"attention_probs_dropout_prob": 0.1,
|
7 |
-
"bos_token_id": 0,
|
8 |
-
"eos_token_id": 2,
|
9 |
-
"hidden_act": "gelu",
|
10 |
-
"hidden_dropout_prob": 0.1,
|
11 |
-
"hidden_size": 768,
|
12 |
-
"initializer_range": 0.02,
|
13 |
-
"intermediate_size": 3072,
|
14 |
-
"layer_norm_eps": 1e-05,
|
15 |
-
"max_position_embeddings": 514,
|
16 |
-
"model_type": "mpnet",
|
17 |
-
"num_attention_heads": 12,
|
18 |
-
"num_hidden_layers": 12,
|
19 |
-
"pad_token_id": 1,
|
20 |
-
"relative_attention_num_buckets": 32,
|
21 |
-
"torch_dtype": "float32",
|
22 |
-
"transformers_version": "4.26.0",
|
23 |
-
"vocab_size": 30527
|
24 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
7254/config_sentence_transformers.json
DELETED
@@ -1,7 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"__version__": {
|
3 |
-
"sentence_transformers": "2.0.0",
|
4 |
-
"transformers": "4.6.1",
|
5 |
-
"pytorch": "1.8.1"
|
6 |
-
}
|
7 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
7254/modules.json
DELETED
@@ -1,20 +0,0 @@
|
|
1 |
-
[
|
2 |
-
{
|
3 |
-
"idx": 0,
|
4 |
-
"name": "0",
|
5 |
-
"path": "",
|
6 |
-
"type": "sentence_transformers.models.Transformer"
|
7 |
-
},
|
8 |
-
{
|
9 |
-
"idx": 1,
|
10 |
-
"name": "1",
|
11 |
-
"path": "1_Pooling",
|
12 |
-
"type": "sentence_transformers.models.Pooling"
|
13 |
-
},
|
14 |
-
{
|
15 |
-
"idx": 2,
|
16 |
-
"name": "2",
|
17 |
-
"path": "2_Normalize",
|
18 |
-
"type": "sentence_transformers.models.Normalize"
|
19 |
-
}
|
20 |
-
]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
7254/pytorch_model.bin
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:95130fee380d2c1e55b2c940d52e9cc2b3dce0a6065e474a3db40147cdd4b388
|
3 |
-
size 438016493
|
|
|
|
|
|
|
|
7254/sentence_bert_config.json
DELETED
@@ -1,4 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"max_seq_length": 384,
|
3 |
-
"do_lower_case": false
|
4 |
-
}
|
|
|
|
|
|
|
|
|
|
7254/special_tokens_map.json
DELETED
@@ -1,15 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"bos_token": "<s>",
|
3 |
-
"cls_token": "<s>",
|
4 |
-
"eos_token": "</s>",
|
5 |
-
"mask_token": {
|
6 |
-
"content": "<mask>",
|
7 |
-
"lstrip": true,
|
8 |
-
"normalized": false,
|
9 |
-
"rstrip": false,
|
10 |
-
"single_word": false
|
11 |
-
},
|
12 |
-
"pad_token": "<pad>",
|
13 |
-
"sep_token": "</s>",
|
14 |
-
"unk_token": "[UNK]"
|
15 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
7254/tokenizer.json
DELETED
The diff for this file is too large to render.
See raw diff
|
|
7254/tokenizer_config.json
DELETED
@@ -1,16 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"bos_token": "<s>",
|
3 |
-
"cls_token": "<s>",
|
4 |
-
"do_lower_case": true,
|
5 |
-
"eos_token": "</s>",
|
6 |
-
"mask_token": "<mask>",
|
7 |
-
"model_max_length": 512,
|
8 |
-
"name_or_path": "/home/silcock/.cache/torch/sentence_transformers/sentence-transformers_all-mpnet-base-v2/",
|
9 |
-
"pad_token": "<pad>",
|
10 |
-
"sep_token": "</s>",
|
11 |
-
"special_tokens_map_file": null,
|
12 |
-
"strip_accents": null,
|
13 |
-
"tokenize_chinese_chars": true,
|
14 |
-
"tokenizer_class": "MPNetTokenizer",
|
15 |
-
"unk_token": "[UNK]"
|
16 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
7254/vocab.txt
DELETED
The diff for this file is too large to render.
See raw diff
|
|