gender-play-gysbert-4b
Browse files- README.md +9 -10
- config.json +5 -4
- model.safetensors +2 -2
README.md
CHANGED
|
@@ -1,6 +1,5 @@
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
-
base_model: emanjavacas/GysBERT
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
metrics:
|
|
@@ -15,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# results
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
-
- Loss: 0.
|
| 21 |
-
- Accuracy: 0.
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
@@ -49,14 +48,14 @@ The following hyperparameters were used during training:
|
|
| 49 |
|
| 50 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 51 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
| 52 |
-
| 0.
|
| 53 |
-
| 0.
|
| 54 |
-
| 0.
|
| 55 |
-
| 0.
|
| 56 |
|
| 57 |
|
| 58 |
### Framework versions
|
| 59 |
|
| 60 |
-
- Transformers 4.41.
|
| 61 |
- Pytorch 2.3.0+cu121
|
| 62 |
- Tokenizers 0.19.1
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model: GroNLP/bert-base-dutch-cased
|
|
|
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
metrics:
|
|
|
|
| 14 |
|
| 15 |
# results
|
| 16 |
|
| 17 |
+
This model is a fine-tuned version of [GroNLP/bert-base-dutch-cased](https://huggingface.co/GroNLP/bert-base-dutch-cased) on an unknown dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.9758
|
| 20 |
+
- Accuracy: 0.6464
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
|
|
| 48 |
|
| 49 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 50 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
| 51 |
+
| 0.6817 | 0.7143 | 100 | 0.6938 | 0.5696 |
|
| 52 |
+
| 0.5836 | 1.4286 | 200 | 0.7187 | 0.6286 |
|
| 53 |
+
| 0.4291 | 2.1429 | 300 | 0.8203 | 0.6625 |
|
| 54 |
+
| 0.2009 | 2.8571 | 400 | 0.9758 | 0.6464 |
|
| 55 |
|
| 56 |
|
| 57 |
### Framework versions
|
| 58 |
|
| 59 |
+
- Transformers 4.41.2
|
| 60 |
- Pytorch 2.3.0+cu121
|
| 61 |
- Tokenizers 0.19.1
|
config.json
CHANGED
|
@@ -1,10 +1,11 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "
|
| 3 |
"architectures": [
|
| 4 |
"BertForSequenceClassification"
|
| 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,
|
|
@@ -15,12 +16,12 @@
|
|
| 15 |
"model_type": "bert",
|
| 16 |
"num_attention_heads": 12,
|
| 17 |
"num_hidden_layers": 12,
|
| 18 |
-
"pad_token_id":
|
| 19 |
"position_embedding_type": "absolute",
|
| 20 |
"problem_type": "single_label_classification",
|
| 21 |
"torch_dtype": "float32",
|
| 22 |
-
"transformers_version": "4.41.
|
| 23 |
"type_vocab_size": 2,
|
| 24 |
"use_cache": true,
|
| 25 |
-
"vocab_size":
|
| 26 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "GroNLP/bert-base-dutch-cased",
|
| 3 |
"architectures": [
|
| 4 |
"BertForSequenceClassification"
|
| 5 |
],
|
| 6 |
"attention_probs_dropout_prob": 0.1,
|
| 7 |
"classifier_dropout": null,
|
| 8 |
+
"gradient_checkpointing": false,
|
| 9 |
"hidden_act": "gelu",
|
| 10 |
"hidden_dropout_prob": 0.1,
|
| 11 |
"hidden_size": 768,
|
|
|
|
| 16 |
"model_type": "bert",
|
| 17 |
"num_attention_heads": 12,
|
| 18 |
"num_hidden_layers": 12,
|
| 19 |
+
"pad_token_id": 3,
|
| 20 |
"position_embedding_type": "absolute",
|
| 21 |
"problem_type": "single_label_classification",
|
| 22 |
"torch_dtype": "float32",
|
| 23 |
+
"transformers_version": "4.41.2",
|
| 24 |
"type_vocab_size": 2,
|
| 25 |
"use_cache": true,
|
| 26 |
+
"vocab_size": 30073
|
| 27 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4b07394ba5d96ca47525d8f544181e8ab4d5e5a78db69e872439b7fd1bb42bf1
|
| 3 |
+
size 436579312
|