End of training
Browse files- README.md +10 -24
- model.safetensors +2 -2
README.md
CHANGED
|
@@ -3,11 +3,6 @@ license: apache-2.0
|
|
| 3 |
base_model: google-bert/bert-base-multilingual-uncased
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
-
metrics:
|
| 7 |
-
- accuracy
|
| 8 |
-
- precision
|
| 9 |
-
- recall
|
| 10 |
-
- f1
|
| 11 |
model-index:
|
| 12 |
- name: NLP_whole_dataseet_
|
| 13 |
results: []
|
|
@@ -20,11 +15,16 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 20 |
|
| 21 |
This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
|
| 22 |
It achieves the following results on the evaluation set:
|
| 23 |
-
-
|
| 24 |
-
-
|
| 25 |
-
-
|
| 26 |
-
-
|
| 27 |
-
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 28 |
|
| 29 |
## Model description
|
| 30 |
|
|
@@ -51,20 +51,6 @@ The following hyperparameters were used during training:
|
|
| 51 |
- lr_scheduler_type: cosine
|
| 52 |
- num_epochs: 8
|
| 53 |
|
| 54 |
-
### Training results
|
| 55 |
-
|
| 56 |
-
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|
| 57 |
-
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
|
| 58 |
-
| 0.3209 | 1.0 | 55 | 0.2928 | 0.9037 | 0.9020 | 0.8929 | 0.8950 |
|
| 59 |
-
| 0.1962 | 2.0 | 110 | 0.1979 | 0.9450 | 0.9447 | 0.9353 | 0.9387 |
|
| 60 |
-
| 0.2778 | 3.0 | 165 | 0.1383 | 0.9587 | 0.9530 | 0.9627 | 0.9560 |
|
| 61 |
-
| 0.2216 | 4.0 | 220 | 0.1156 | 0.9679 | 0.9667 | 0.9640 | 0.9652 |
|
| 62 |
-
| 0.2203 | 5.0 | 275 | 0.1061 | 0.9817 | 0.9797 | 0.9828 | 0.9809 |
|
| 63 |
-
| 0.1948 | 6.0 | 330 | 0.0967 | 0.9817 | 0.9797 | 0.9828 | 0.9809 |
|
| 64 |
-
| 0.2017 | 7.0 | 385 | 0.0902 | 0.9817 | 0.9797 | 0.9828 | 0.9809 |
|
| 65 |
-
| 0.2384 | 8.0 | 440 | 0.0925 | 0.9817 | 0.9797 | 0.9828 | 0.9809 |
|
| 66 |
-
|
| 67 |
-
|
| 68 |
### Framework versions
|
| 69 |
|
| 70 |
- Transformers 4.42.4
|
|
|
|
| 3 |
base_model: google-bert/bert-base-multilingual-uncased
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: NLP_whole_dataseet_
|
| 8 |
results: []
|
|
|
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on the None dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
+
- eval_loss: 0.0225
|
| 19 |
+
- eval_accuracy: 0.9954
|
| 20 |
+
- eval_precision: 0.9951
|
| 21 |
+
- eval_recall: 0.9960
|
| 22 |
+
- eval_f1: 0.9955
|
| 23 |
+
- eval_runtime: 0.792
|
| 24 |
+
- eval_samples_per_second: 275.256
|
| 25 |
+
- eval_steps_per_second: 8.839
|
| 26 |
+
- epoch: 5.0
|
| 27 |
+
- step: 275
|
| 28 |
|
| 29 |
## Model description
|
| 30 |
|
|
|
|
| 51 |
- lr_scheduler_type: cosine
|
| 52 |
- num_epochs: 8
|
| 53 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 54 |
### Framework versions
|
| 55 |
|
| 56 |
- Transformers 4.42.4
|
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:a1b038790c04772b50d2b95cd38bba498954cfec839f37d4738363a34f675842
|
| 3 |
+
size 2028069268
|