Model save
Browse files- README.md +4 -19
- config.json +0 -1
- tokenizer.json +2 -16
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -1,29 +1,14 @@
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
-
language:
|
| 4 |
-
- en
|
| 5 |
license: apache-2.0
|
| 6 |
base_model: bert-base-uncased
|
| 7 |
tags:
|
| 8 |
- generated_from_trainer
|
| 9 |
-
datasets:
|
| 10 |
-
- glue
|
| 11 |
metrics:
|
| 12 |
- accuracy
|
| 13 |
model-index:
|
| 14 |
- name: bert-base-uncased-finetuned-mnli
|
| 15 |
-
results:
|
| 16 |
-
- task:
|
| 17 |
-
name: Text Classification
|
| 18 |
-
type: text-classification
|
| 19 |
-
dataset:
|
| 20 |
-
name: GLUE MNLI
|
| 21 |
-
type: glue
|
| 22 |
-
args: mnli
|
| 23 |
-
metrics:
|
| 24 |
-
- name: Accuracy
|
| 25 |
-
type: accuracy
|
| 26 |
-
value: 0.8439788445890968
|
| 27 |
---
|
| 28 |
|
| 29 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -31,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 31 |
|
| 32 |
# bert-base-uncased-finetuned-mnli
|
| 33 |
|
| 34 |
-
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on
|
| 35 |
It achieves the following results on the evaluation set:
|
| 36 |
-
-
|
| 37 |
-
-
|
| 38 |
|
| 39 |
## Model description
|
| 40 |
|
|
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
|
|
|
|
|
|
| 3 |
license: apache-2.0
|
| 4 |
base_model: bert-base-uncased
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
|
|
|
|
|
|
| 7 |
metrics:
|
| 8 |
- accuracy
|
| 9 |
model-index:
|
| 10 |
- name: bert-base-uncased-finetuned-mnli
|
| 11 |
+
results: []
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
---
|
| 13 |
|
| 14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 16 |
|
| 17 |
# bert-base-uncased-finetuned-mnli
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
+
- Accuracy: 0.8469
|
| 22 |
+
- Loss: 0.5565
|
| 23 |
|
| 24 |
## Model description
|
| 25 |
|
config.json
CHANGED
|
@@ -29,7 +29,6 @@
|
|
| 29 |
"num_hidden_layers": 12,
|
| 30 |
"pad_token_id": 0,
|
| 31 |
"position_embedding_type": "absolute",
|
| 32 |
-
"problem_type": "single_label_classification",
|
| 33 |
"torch_dtype": "float32",
|
| 34 |
"transformers_version": "4.45.0.dev0",
|
| 35 |
"type_vocab_size": 2,
|
|
|
|
| 29 |
"num_hidden_layers": 12,
|
| 30 |
"pad_token_id": 0,
|
| 31 |
"position_embedding_type": "absolute",
|
|
|
|
| 32 |
"torch_dtype": "float32",
|
| 33 |
"transformers_version": "4.45.0.dev0",
|
| 34 |
"type_vocab_size": 2,
|
tokenizer.json
CHANGED
|
@@ -1,21 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"version": "1.0",
|
| 3 |
-
"truncation":
|
| 4 |
-
|
| 5 |
-
"max_length": 512,
|
| 6 |
-
"strategy": "LongestFirst",
|
| 7 |
-
"stride": 0
|
| 8 |
-
},
|
| 9 |
-
"padding": {
|
| 10 |
-
"strategy": {
|
| 11 |
-
"Fixed": 512
|
| 12 |
-
},
|
| 13 |
-
"direction": "Right",
|
| 14 |
-
"pad_to_multiple_of": null,
|
| 15 |
-
"pad_id": 0,
|
| 16 |
-
"pad_type_id": 0,
|
| 17 |
-
"pad_token": "[PAD]"
|
| 18 |
-
},
|
| 19 |
"added_tokens": [
|
| 20 |
{
|
| 21 |
"id": 0,
|
|
|
|
| 1 |
{
|
| 2 |
"version": "1.0",
|
| 3 |
+
"truncation": null,
|
| 4 |
+
"padding": null,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
"added_tokens": [
|
| 6 |
{
|
| 7 |
"id": 0,
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e31c47da75b85a0bbab47cb77e7106f446e1a247e1b4f263fe82998125d1824e
|
| 3 |
size 5240
|