Initial commit
Browse files- README.md +75 -0
- config.json +26 -0
- eval_results.json +9 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
- vocab.txt +0 -0
README.md
ADDED
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- generated_from_trainer
|
4 |
+
model-index:
|
5 |
+
- name: aristoBERTo
|
6 |
+
results: []
|
7 |
+
---
|
8 |
+
|
9 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
10 |
+
should probably proofread and complete it, then remove this comment. -->
|
11 |
+
|
12 |
+
# aristoBERTo
|
13 |
+
|
14 |
+
This model is a fine-tuned version of [nlpaueb/bert-base-greek-uncased-v1](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1) on the Ancient Greek dataset.
|
15 |
+
It achieves the following results on the evaluation set:
|
16 |
+
- Loss: 1.6323
|
17 |
+
|
18 |
+
## Model description
|
19 |
+
|
20 |
+
More information needed
|
21 |
+
|
22 |
+
## Intended uses & limitations
|
23 |
+
|
24 |
+
More information needed
|
25 |
+
|
26 |
+
## Training and evaluation data
|
27 |
+
|
28 |
+
More information needed
|
29 |
+
|
30 |
+
## Training procedure
|
31 |
+
|
32 |
+
### Training hyperparameters
|
33 |
+
|
34 |
+
The following hyperparameters were used during training:
|
35 |
+
- learning_rate: 5e-05
|
36 |
+
- train_batch_size: 16
|
37 |
+
- eval_batch_size: 16
|
38 |
+
- seed: 42
|
39 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
40 |
+
- lr_scheduler_type: linear
|
41 |
+
- num_epochs: 20.0
|
42 |
+
- mixed_precision_training: Native AMP
|
43 |
+
|
44 |
+
### Training results
|
45 |
+
|
46 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
47 |
+
|:-------------:|:-----:|:-------:|:---------------:|
|
48 |
+
| 2.2017 | 1.0 | 170711 | 2.4411 |
|
49 |
+
| 2.0302 | 2.0 | 341422 | 2.2853 |
|
50 |
+
| 1.9459 | 3.0 | 512133 | 2.1911 |
|
51 |
+
| 1.8847 | 4.0 | 682844 | 2.1187 |
|
52 |
+
| 1.85 | 5.0 | 853555 | 2.0841 |
|
53 |
+
| 1.834 | 6.0 | 1024266 | 2.0267 |
|
54 |
+
| 1.7599 | 7.0 | 1194977 | 1.9874 |
|
55 |
+
| 1.7147 | 8.0 | 1365688 | 1.9495 |
|
56 |
+
| 1.6882 | 9.0 | 1536399 | 1.9030 |
|
57 |
+
| 1.6433 | 10.0 | 1707110 | 1.8845 |
|
58 |
+
| 1.6289 | 11.0 | 1877821 | 1.8485 |
|
59 |
+
| 1.5758 | 12.0 | 2048532 | 1.8097 |
|
60 |
+
| 1.5439 | 13.0 | 2219243 | 1.7916 |
|
61 |
+
| 1.5358 | 14.0 | 2389954 | 1.7680 |
|
62 |
+
| 1.4946 | 15.0 | 2560665 | 1.7360 |
|
63 |
+
| 1.4753 | 16.0 | 2731376 | 1.7052 |
|
64 |
+
| 1.4628 | 17.0 | 2902087 | 1.6804 |
|
65 |
+
| 1.4223 | 18.0 | 3072798 | 1.6720 |
|
66 |
+
| 1.3909 | 19.0 | 3243509 | 1.6521 |
|
67 |
+
| 1.377 | 20.0 | 3414220 | 1.6314 |
|
68 |
+
|
69 |
+
|
70 |
+
### Framework versions
|
71 |
+
|
72 |
+
- Transformers 4.14.0.dev0
|
73 |
+
- Pytorch 1.10.0+cu102
|
74 |
+
- Datasets 1.16.1
|
75 |
+
- Tokenizers 0.10.3
|
config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "nlpaueb/bert-base-greek-uncased-v1",
|
3 |
+
"architectures": [
|
4 |
+
"BertForMaskedLM"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.1,
|
10 |
+
"hidden_size": 768,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 3072,
|
13 |
+
"layer_norm_eps": 1e-12,
|
14 |
+
"max_position_embeddings": 512,
|
15 |
+
"model_type": "bert",
|
16 |
+
"num_attention_heads": 12,
|
17 |
+
"num_hidden_layers": 12,
|
18 |
+
"output_past": true,
|
19 |
+
"pad_token_id": 0,
|
20 |
+
"position_embedding_type": "absolute",
|
21 |
+
"torch_dtype": "float32",
|
22 |
+
"transformers_version": "4.14.0.dev0",
|
23 |
+
"type_vocab_size": 2,
|
24 |
+
"use_cache": true,
|
25 |
+
"vocab_size": 35000
|
26 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.0,
|
3 |
+
"eval_loss": 1.6322814226150513,
|
4 |
+
"eval_runtime": 77.9898,
|
5 |
+
"eval_samples": 84476,
|
6 |
+
"eval_samples_per_second": 1083.168,
|
7 |
+
"eval_steps_per_second": 67.701,
|
8 |
+
"perplexity": 5.1155321064018535
|
9 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eae6b4506f643cf06b746b229983045ebe08ff7ba45fe3ce0d657914140c2d04
|
3 |
+
size 451916331
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": "/tmp/xdg-cache/huggingface/transformers/347c648cda48ba9d519777e5e1e677a659862faeb5ad9e219ff0a95c62cfdea4.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "nlpaueb/bert-base-greek-uncased-v1", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|